Reviewerly/exHarmony huggingface dataset:
Application of Computer Aided Translation System in Online Learning

With the gradual acceleration of the globalization process, the exchanges between various countries around the world have become more frequent, and the demand for translation between different languages is also increasing. Under this demand, the development of computer aided translation (CAT) has also accelerated the reissue. Online learning, especially in the field of translation, is inseparable from CAT. Based on this, this article launches the application research of CAT system in online learning. This article quotes the noise channel model, analyzes the corpus-based CAT method, and introduces the translation process of the CAT system. This article designs a CAT system based on online learning, designs the architecture and functional modules of the system, and introduces functional modules such as user interaction, user request, translation display, and online translation. This article found through a survey that 73.97% of the respondents said that they often use CAT software for translation, and only 6.85% have never used CAT software to complete translation tasks, indicating that the popularity of CAT software in translation professional online learning is relatively high.
Research on Classroom Teaching Management and Process Evaluation Based on Artificial Intelligence

Artificial intelligence technology has been widely used in various fields. Artificial intelligence technology is applied to higher vocational classroom scenes, and intelligent technology is used to accelerate the reform of classroom management, talent training models and teaching methods. This article first analyzes the current status of classroom attendance and teaching evaluation, and then realizes classroom intelligent attendance based on face recognition technology. Next, the students' behavior status is divided, and the students' classroom behavior recognition is realized through YOLO-v3, and finally the classroom teaching process evaluation is realized.
Research on new fuzzy deep learning model and its construction technology

The application of deep learning in adaptively extracting corresponding feature expressions from a large number of unbalanced data sets for classification has become a hot topic of research and discussion at home and abroad in recent years. The purpose of this paper is to study the new model of fuzzy deep learning and its construction technology. A vehicle detection algorithm based on fuzzy deep belief network is proposed. Deep belief fuzzy networks can gain the ability to integrate prior knowledge by introducing fuzzy set theory into deep belief networks. It is a deep framework that combines the power of abstract restricted Boltzmann machines with the power of fuzzy set classification. Constrained Boltzmann functions can achieve fast data dimensionality reduction, and fuzzy sets can improve the classification accuracy of deep learning frameworks based on membership functions for each class. The experimental results on the wine dataset show that the detection algorithm based on fuzzy deep belief network proposed in this paper can classify faster and more accurately.
Research on 3D Simulation Technology of Multi-fragment Damage Assessment Based on Distributed Computing

Aiming at the lack of multi-fragment collision detection for complex targets in damage assessment simulation, a technical solution is proposed to use open source scene graphics OSG and Bullet physics engine to combine distributed computing to solve collision detection of different fragments. A self-developed bounding box technology is proposed to construct the bounding box of multi-fragment damage elements, and the axial bounding box technology is selected to construct the bounding box of complex targets. Based on the traditional collision algorithm, a collision detection algorithm relying on distributed computing is proposed, which realizes the collision detection between tens of thousands of fragments and the target, and visualizes the damage effect after the fragments collide with the target. The simulation results show that the optimized solution can successfully achieve the target collision detection and damage assessment under the action of multiple fragments, which effectively improves the calculation efficiency and has a good rendering effect.
Research on the Construction of Digital Platform of University Maker Space under the Perspective of Big Data

In recent years, University students' enthusiasm for entrepreneurship has been rising. Universities have set up “Maker Space” to encourage college students to start their own businesses. However, due to a variety of objective reasons, the Maker spaces are underutilized, just providing a physical space only. How to effectively grasp the needs of the resident creators and provide personalized and social resources services more precisely has become a development direction to improve the management capacity of Maker spaces. This study based on big data technology, by establishing a structured database of Makers through data collection, mining, pushing, analysis, and integration, and then profile the Maker group. In this way, we can strengthen our knowledge of the current situation of the Makers' group and control their needs, so as to provide accurate services and provide more perfect services for universities and Makers. Through the construction of the platform, while doing a good job of Makers services, it can also accumulate a large amount of data experience to provide data support for conducting more research on Makers needs.
Application of Intelligent Fuzzy Decision Tree Algorithm in English Teaching Data Analysis System

With the continuous growth of science and technique, intelligent technique is gradually accepted and widely used by people, and it has been applied in various fields. This paper mainly studies how to apply fuzzy theory to English teaching data analysis system. This paper adopts the method of combining hierarchical structure and tree structure to build a learning decision tree algorithm model (AHP) design and Implementation Based on the learning characteristics of college students. Through test experiments, it evaluates whether the scheme can achieve the expected goals and promote students' cognitive ability. From the test results of the system, the algorithm has excellent data processing ability, and the basic processing rate reaches more than 85%. This shows that the system optimized by the algorithm can meet the needs of users.
Interactive Teaching Model Reform Based on Network Platform and Virtual Simulation Technology

Information technology changes people's way of working, learning and thinking at an amazing speed, which will inevitably lead to comprehensive reform and development in the education field. The epidemic situation of COVID-19 makes online teaching the main teaching mode of “teaching without stopping and learning without stopping”. The application of modern education technology based on “Chaoxing Platform+Tencent Meeting” in teaching process is explored. Based on teaching environment, interactive teaching mode construction, teaching management and evaluation, the teaching design is carried out in combination with the actual characteristics of each teaching link. The application of virtual simulation modern educational technology in the course Circuit Analysis is studied, and the convenience and the intuitiveness brought by virtual simulation technical resources and interactive platform are given full play, and the virtual simulation technology can effectively solve the obscure circuit analysis problem in theoretical teaching. The aim of teaching model reform has been achieved.
THE ENGLISH TEACHER TECHNIQUES IN TEACHING READING COMPREHENSION AT SMKN 1 MAMASA

This study aims to find out (1) the techniques applied by the English teachers in teaching reading comprehension, (2) whether or not the teaching technique is effectively applied in reading comprehension. This study applied a qualitative method. The participants in this research were 4 English teachers and students consisting of 4 classes for observation, and 10 students per class for interview in SMKN 1 Mamasa. Which was taken through purposive sampling technique. The data of this study were collected by observation, interview, and documentation. The obtained data were analyzed in four major phases namely data collection, data reduction, presentation of data and conclusion drawing. The result of this study revealed that, (1) there are four techniques that are applied by English teachers in teaching comprehension, namely read aloud technique (read aloud together / reading aloud one by one), read over and over, questions answering, and enrich vocabulary through translation and memorizing, (2) when teachers taught using those techniques students become enthusiastic about learning, active, participating, able to understand the contents of the reading, and able to answer the questions given by the teacher. The result also shows that the four teachers applied all the techniques effectively in teaching reading comprehension and based on students’ response all of the techniques applied were more than 80% effective. Therefore, the result of this study indicated that the techniques used by the teachers in SMKN 1 Mamasa, such as Read aloud together/reading aloud one by one, read over and over, questions and answering and Enrich vocabulary throung transalation and memorizing, are effective to the students in learning reading comprehensive of English language.
Hybrid CTC Language Identification Structure for Mandarin-English Code-Switching ASR

With the advent of globalization, there is a growing demand for code-switching automatic speech recognition (ASR), which can accurately discriminate a speaker who alternates words of two or more languages within a single sentence or across sentences. The common phenomenon of Mandarin-English code-switching ASR is quite common around the world, like China and Singapore. In this paper, we propose a hybrid CTC language identifycation architecture and a complete model training method for Mandarin-English code-switching ASR. We propose an ASR architecture that adds a LID layer after CTC decoder which based on CTC-AED architecture to calculate the CTC LID loss at the frame level. Furthermore, a fusion loss based on CTC loss, Attention loss and CTC LID loss is used to train Mandarin-English code-switching ASR model. In order to enable the ASR model to quickly converge and strengthen the language identification ability, a dynamic CTC LID loss weight is introduced. Results show that the proposed model architecture and model training method can effectively improve performance of the Mandarin-English code-switching ASR model. The final system achieves a Mixed Error Rate (MER) of 20.9% in the ISCSLP2022 Magichub Code-Switching ASR Challenge.
Construction of the Evaluation Index System of Scientific Fitness Literacy of the Elderly Group Based on the Integration of Sports and Medicine Under the Big Data Analysis Algorithm

This paper makes a further discussion on scientific fitness from the perspective of health, with a view to constructing an evaluation index system of scientific fitness literacy of the elderly population under the background of integration of sports and medicine, and providing a reference for comprehensively improving scientific fitness literacy of the elderly population. The era of big data provides an opportunity for the integration of sports and medicine, and promotes the development of sports and medicine integration in the direction of accuracy, personalization, dynamics, real-time, sharing and visualization. The related concepts of big data analysis and neural network algorithm are analyzed, and the core technology in big data analysis and some problems existing in neural network algorithm in big data analysis are proposed. The application is analyzed and discussed. Based on the idea of integration of sports and medicine, the construction method of evaluation index system of scientific fitness literacy of medical and nursing groups is scientific and reliable, which embodies the principles of safety, effectiveness and sustainability of scientific fitness, and can provides theoretical basis for improving scientific fitness literacy of elderly groups. At the same time, experiments show that the construction system in this paper can generally improve the data processing efficiency by 75.2%. When the data allows, the evaluation matching rate is superior, and the comprehensive matching rate is 0.63%.
AIoT technologies and applications for smart environments

To change the gathering of circulated data in worldwide manufacturing services, sharing and managing plenty of information across many participants utilizing a fitting information system plan. Even the forced "trust tax" on manufacturers during their uncountable efforts with clients, providers, merchants, governments, specialist organizations, and other manufacturers tremendously increased. In the information and programming, recollecting can apply some strategies like processing some information with security and privacy; this thing comes under IoT with blockchain technologies. Furthermore, with support to data integration and data handling, blockchain technologies are eager to manage transaction data concerning IoT technologies. In addition to this, blockchain allows a massive "trust tax" using small and medium scale businesses while minimizing the "trust tax" comprehensively compared to accepted manufacturers. This book chapter will investigate the blockchain-based trust mechanism and security. In addition to this, it will also involve blockchain quality assurance, which is an essential part of intelligent manufacturing.
A-RANSAC Instantaneous Frequency Estimator for Multicomponent Signals in Heavy-noise Environments

An adaptive random-samples-consensus (ARANSAC) algorithm is proposed for the instantaneous frequency (IF) estimation of multicomponent signals. This estimator can work for low signal-to-noise ratio (SNR) environments without the prior knowledge of component numbers. The estimation performance is tested on overlapping frequency modulation (FM) signals. Obtained results show that the estimator achieves a lower SNR threshold than 0 dB.
Solar Panel Tracker System Using GPS Technology

This article provides a solution to the problem of not improving three-dimensional systems with light sensors in tracker systems for solar panels, due to the inefficiency of operation in cloudy weather, with an increase in precipitation and contamination of photodetectors. The paper shows the calculation of the position angle of the tracker system relative to the changing position of the sun. The GPS system is able to automatically determine the location of the solar panel (latitude, longitude), then the microcontroller with the developed program performs a mathematical calculation, and the system automatically adjusts the solar panel to the sun. Thus, the need to use a photo sensor is eliminated, since the system automatically determines the optimal angle between the sun and the solar panel.
Oxidised gold lode stains black: the historical Encardideira (Chico Rei) deposit, Ouro Preto, Brazil

The historical Encardideira gold mine, currently known as Chico Rei, represents a rare case of gold mine owned by a freed slave in Brazil’s colonial times. The term ‘encardideira’ alludes to the property of ingraining dirt on the surface of something. Here, we provide chemical and mineralogical evidence that the Encardideira mine likely had its name from the begriming character of its ore shoots. Gold-mineralised samples are enriched in graphite C, identified as tourmaline-enclosed euhedral graphite, and Mn-oxide minerals, mostly pyrolusite and cryptomelane-like material. Measurements for Au by atomic absorption spectrometry returned Au values above 1 ppm only after cupellation, suggesting the existence of graphite-bound gold in pervasively oxidised rocks. It is hypothesised that graphite-rich ore shoots, with superposition of Mn-oxide minerals, could account for enough gold and softness for manual removal by enslaved miners and their characteristic begriming.
MAFT: An Image Super-Resolution Method Based on Mixed Attention and Feature Transfer

Reference-based image super-resolution methods, which enhance the restoration of a low-resolution (LR) images by introducing an additional high-resolution (HR) reference image, have made rapid and remarkable progress in the field of image super-resolution in recent years. Most of the existing methods use an implicit correspondence matching approach to transfer HR features from the reference image (Ref) to the LR image. However, these methods lack the further judgment and processing of the HR features from Ref, which limits them in challenging cases. In this paper, We propose an image super-resolution method based on mixed attention and feature transfer (MAFT). First, we obtain the deep features of the LR and Ref images through the encoder network, then extract the transferred features from Ref through the attention network, and perform adaptive optimization processing on the features, and finally fuse the transferred features with LR features to achieve a high-quality image reconstruction. The quantitative and qualitative experiments on these benchmarks, i.e., CUFED5, Urban100 and Manga109, show that MAFT outperforms the state-of-the-art baselines with significant improvements.
Creative activity at higher education institutions: Ukrainian pedagogical overview

Professional training in Ukrainian higher education institutions is primarily focused on strengthening the creative potential of future educators, as it promotes their professional and personal growth, as well as the comprehensive outcome of students’ creative abilities. Therefore, the purpose of this article is to outline the Ukrainian pedagogical experience in enlarging the creative process in higher education institutions. Another aim is to ascertain the concepts of “creative process”, “creativity”, “creative skills” in the up-to-date Ukrainian pedagogical discourse. It is a point of discussion that in Ukrainian pedagogical literature the term “kreatyvnist” (“creativity”) dominates over “tvorchist” (“creative process”). Creative abilities are interpreted as a combination of inner human traits that emerge in the process of activity resulting in innovation. Creative activity integrates the mechanism of generating something new via education and cognition, while the ability reveals itself in responding to new non-standard situations when future-to-be teacher’s creative skills emerge. Ukrainian pedagogical discourse presents an urgent teacher’s need to be a manager of the inner self-improvement based on their cognitive activity. Moreover, two aspects tend to be crucial for the implementation of pedagogical work in higher education institutions in Ukraine. Firstly, the promotion of students’ creative self-development; secondly, the stimulation of students’ unique techniques for managing similar activities within the future professional framework.
Design of Web Application Firewall System through Convolutional Neural Network and Deep Learning

Attacks against web applications emerge in endlessly, and protecting the security of web applications is an important part of the current cyberspace security. This paper constructs one cloud web application firewall system based on deep learning. The system architecture adopts a multi-server distributed architecture. Taking into account the real-time nature of web requests and the user's sense of user experience, through the use of a high-performance server framework Openers and high-efficiency volumes. The convolutional neural network improves the operating efficiency of the system while ensuring the recognition rate. At the same time, the system implemented in this paper also saves server request information in the database to further provide targeted data sets for artificial intelligence training.
Recordingat High Speed

The latest technical guidance and trends in the use of high-speed cameras
INDEPENDENT WORK IN THE ELECTRONIC LEARNING ENVIRONMENT AS AN INTEGRAL PART OF PROFESSIONAL TRAINING OF STUDENTS

Modern vocational education should prepare specialists who are competitive in the labor market. This implies that they have experience of independent work which will allow them to change the path of their professional develop- ment. The authors consider the model of organizing independent work of students in the conditions of an electronic educational environment as a tool for improving the quality of their professional training. The target, content, pro- cedural-activity and reflexive components of the organization of independent work of students are described within this model; the principles reflecting the specific nature of the work being organized are revealed.
ISSUES OF INTEGRATION OF REGIONAL AND ALL-RUSSIAN DIGITAL PROFESSIONAL EDUCATIONAL PLATFORMS

The article studies the problems of introducing digital educational platforms into the process of professional training of teachers and the participation of teachers in the work of digital educational systems. It gives an overview of the organi- zational and legal basis for the integration of «My School,» the all-Russian digital information system, with existing regional professional educational platforms. It defines the necessary directions of the integration process. The article states the need for the inclusion of the formation of competencies of work in the «My School» FSIS in the educational programs for teachers’ training, as well as the desirability of partial integration of digital educational systems of re- gional platforms and pedagogical universities with the methodological component of the «My School» FSIS.
CLOUD PLATFORMS AND VIRTUALIZATION TECHNOLOGIES IN EDUCATION

The article deals with the use of cloud platforms and virtualization technologies, including those based on services from Yandex companies, Mail.ru and others, for the preparation and launch of training workplaces for students in order to unify the applied and system programs used for individualization of training. The main advantages of using application and system software based on cloud technologies for educational purposes are considered. Special atten- tion is paid to the preparation and creation of virtual workplaces for students in order to increase the effectiveness
RESTRAINING THE FREEDOM OF THE TEACHER IN PROFESSIONAL AND PEDAGOGICAL ACTIVITIES

The article studies the problem of the teacher’s freedom in professional and pedagogical activities. The article sub- stantiates the need for the reality discussed in the pedagogical process (taking into account the universal nature of the human psyche). It shows a sharp restraint on the freedom of the teacher in the modern school which is associated with the pragmatically oriented organization of school activities. It shows the negative impact of the education con- tent standardization, the system of remuneration of the teacher, the social status of the teacher, his/her position in
SELF-ORGANIZATION OF PERSONAL POTENTIAL AS A FACTOR IN EFFECTIVE PROFESSIONAL DEVELOPMENT OF UNIVERSITY STUDENTS

Consideration of the essence of the process of self-organization of personal potential and its role in the course of professional training of students in modern psychological and pedagogical theory and practice is based on modern general scientific methodological approaches: the system and activity, synergetic, semantic and anthropological approaches. The author discusses the self-organization of personal potential as a factor in the effective professional training of university students for self-realization in the type of work they choose; reveals the principles, meanings and motivational and value orientations of graduate students’ use of their skills to use personal potential in the condi- tions of the educational process in modern higher education.