Reviewerly/exHarmony huggingface dataset:
Canny edge detection towards deep learning Arabic document classification

The paper describes the implementation of deep learning-based edge detection in image processing. A set of points in an image at which image brightness changes formally or sharply is called edge detection. Using edge detection filters, we can extract the feature of an object. In our work, we aim to develop a deep learning system to classify Arabic document images into four classes as follows: printed, handwritten, historical, and signboard and applying edge detection filters to extract features from document images. We will be using two edge detection methods namely Sobel, and Canny edge detection that are applied in 1000 Arabic document images to extract edges. Analyzing the performance factors are done in the terms of accuracy on the premise of Mean Squared Error (MSE) and python is employed for edge detection implementation. The experimental results show that the Canny edge detection technique results higher than the Sobel edge detection technique.
A Study of Construction of Mobile MOOC for General Education in Colleges and Universities in the Internet Era

Recently, the construction of Mobile MOOC for general education in colleges and universities in the Internet era has been extensively explored in academia in China. The investigation of the construction of Mobile MOOC reveals a significant significance to improve the quality of general curriculum in colleges and universities, share the resources of general curriculum in colleges and universities, and cultivate the core qualities of college and university students. Based on the defined core concepts, this paper expounds the importance of the issues, and presents that Mobile MOOC of general education in colleges and universities in the Internet era should be established based on the philosophy of focusing on the development of college and university students, the establishment of the elements of Mobile MOOC of general education, and the improvement of teaching abilities of college and university teachers and the management system for the general curriculum, so as to provide effective references for the scientific decisions on the construction of Mobile MOOC of general education in colleges and universities in the Internet era.
Design and Implementation of Oral English Learning System Based on Speech Recognition Technology

As a universal language in the world, English plays an important role in information transmission in the global development of economy. However, due to the influence of language environment, learning mode and Chinese thinking, there are some problems in Chinese learners' oral expression, such as learning learners' oral expression. In order to improve the learning ability of oral English, this paper creatively designs a learning system to help learners gain more time, space advantages and multiple interactive experiences through speech recognition technology.
Relieve the Control Plane Burdens in Heavy Hitter Detection with Selective Report

Sketch algorithms are apt at detecting Heavy Hitters accurately at real time with low memory overhead. However, traditional wisdom of network measurement mainly concentrates on the two key properties: accuracy and memory-efficiency, which only targets the data plane. This paper aims to achieve timeliness and communication-efficiency in Heavy Hitter detection by properly coordinating the interplay of the data plane and the control plane, thus further relieve the control plane burdens. Results show we maintain the accuracy in Heavy Hitter detection while reduce the delay from microseconds to nearly zero and communication overhead by at most 70%.
Educational elements of instructional design to enhance the construction of virtual learning environments

From the perspective of experts in instructional design, what pedagogical elements favor the construction of virtual learning environments? It is the question that guides the present investigation. Education has had significant changes in recent decades, so institutions would be expected to transform. The management of educational change must be carried out from within the institutions themselves, who, through the operability of their educational model, foster the learning of their students. The innovation elements of an institution involve the entire educational community. The pedagogical foundations must permeate the management team, teachers and administrative staff to achieve true educational quality in any educational modality. This research focuses on the particularities of the virtual modality. It aims to analyze the different perspectives of instructional designers of institutions of higher and higher education regarding what pedagogical elements are necessary in offering virtual education. It also analyzes the professional profile of those who exercise the role of instructional designer in the different institutions.
Research on the Reform of Multi-ecological English Curriculum in Higher Vocational Education under the Context of Information Management

Because English is a subject with strong application, this paper discusses the multi-ecological reform path of English curriculum teaching under the background of big data from the perspective of educational ecology. To realize the development and optimization of English teaching, on the one hand, to improve the quality of English professionals, on the other hand, to meet the employment needs of the English market, to achieve high-quality development of related industries.
Research on The Presentation Path of Folk Life Along The Grand Canal Based on Immersive Experience

With the continuous improvement of virtual technology, the current consumer experience has become more and more 'immersive', and a number of new concepts have been derived, such as the immersion media communication environment created by VR and AR technology. By fully mobilizing people's facial feelings, people can focus on the target situation created by the designer.
Innovation and Development of Pedagogy in the Age of Internet

Now the society and science and technology continue to develop, “Internet”has now entered the world, people will use it in their daily life,“Internet” era has been closely linked with people's lives. Nowadays, the Internet has been widely used, not only in enterprises, but also in the field of education. The arrival of the Internet has changed people's way of life, changed the teaching mode and improved the teaching quality. The teaching mode in the era of “Internet” breaks some drawbacks in the traditional teaching mode and solves some problems and shortcomings in the past teaching. Now students, through the computer network, preview homework in advance, enrich their own cultural knowledge. Now it has gradually formed the “Internet” education model, improved the overall level of education, can promote the innovation of pedagogy. This paper analyzes the innovative practice of pedagogy in the era of Internet, and expounds the development trend of pedagogy in the future under the situation of combining with Internet.
Instance Selection for Online Updating in Dynamic Recommender Environments

Online recommender systems continuously learn from user interactions that occur in a streaming manner. A fundamental challenge of online recommendation is to select important instances (i.e., user interactions) for model updates to achieve higher prediction accuracy while omitting noisy instances. In this paper, we study (1) how to select the best instances and (2) how to effectively utilize the selected instances in dynamic recommender environments. We present two instance selection strategies based on Self-Paced Learning and rating profiles. We integrate them with Factorization Machines to perform online updates. Moreover, we study the impact of contextual information in online updating. We conducted experiments on a real-world check-in dataset, which contains temporal contextual features. Empirical results demonstrate that ox ur instance selection strategies effectively balance the trade-off between prediction accuracy and efficiency.
An Ensemble Model for Sentiment Analysis

Sentiment analysis is to abstract sentiment polarity, positive or negtive from text. Nowadays reasearchers have proposed many models. However, the existing researches ignore the potential of ensemble model in sentiment analysis, and don't consider the application of ensemble model in sentiment analysis. This paper proposes an ensemble model for sentiment analysis, which firstly uses the word2vec model to convert the text into a matrix, then uses CNN to extract local features, and combine with LSTM to improve the accuracy of the analysis. Experimental results on the bechmark dataset show that our proposed method delivers significant improvements compared with the baselines on the task of sentiment analysis.
Cipher-Policy Attribute-Based Encryption on Cloud Computing

Cloud computing has drawn expanding interests from both scholastic and industry in the recent years because of its productiveness and low-cost management. Since it offers different types of assistance in an open organization, it is critical for users to utilize secure information for stockpiling and sharing data to guarantee information classification and data users protection. To safely Protect information, the most broadly utilized technique is encryption. The dual-access control, with regards to cloud-based storage, is a control system over both the data owner and the user who can upload and download files without loss of safety, data[1] and effectiveness. The credulous arrangement is that the user can download the whole database[2]. The framework planned in this paper is when the A user logs in with his credentials and after successful acceptance from the two different administrators, the user will be able to download the file present over the cloud. When a malicious user requests, the administrators can find it because it will generate a null value and they can block the user from downloading the files.
Weight Kullback-Leibler Average Interactive multiple model Probabilistic Data Association Filter

Aiming at the problem of maneuvering target tracking in clutter, a weight Kullback-Leibler average based interactive multi-model probabilistic data association filter (WKLA-IMM-PDAF) is proposed. Compared with the traditional interactive multi-model probabilistic data association filter (IMM-PDAF), the WKLA-IMM-PDAF has been changed in the steps of state interaction, state fusion output and associated event weights allocation by using the WKLA, and these changes can effectively improve the computational efficiency of the filter. The simulation results show that the proposed filter has better estimation performance and lower computational time than the IMM-PDAF and interactive multi-model distance weighted probabilistic data association filter.
A topic definition model of self-media news based on Louvain algorithm

In order to attract readers, most self-media writers contain keywords that reflect the theme of "net celebrity". However, the title keywords often have a certain deviation from the web page topic. In the news recommendation system, this deviation will affect the accuracy of the recommendation and thus the user experience. This paper studies the problem and proposes a self-media news topic definition model (MNLA) based on Louvain algorithm. First, determine the major topic of the news by analyzing the news headline and body tag words, then obtain the high-quality news page linked to the news, and finally determine the small topic of the web page based on the Louvain community algorithm. According to experiments, compared with other topic definition methods based on text quantity and matrix analysis, the method in this paper has certain accuracy advantages.
Mobile Foreign Language Learning in the Era of Educational Information

With the emergence and development of high-tech such as the Internet, the Internet has become an important part of people's lives. The use of Internet technology to carry out education and teaching reform is conducive to promoting the development of the education industry in the direction of informatization. In the context of the Internet, foreign language learning is no longer limited to classroom teaching, and mobile foreign language learning using big data technology has become one of the main educational methods for foreign language learning. This article will discuss the background of mobile foreign language learning in the era of educational informationization from the perspective of theoretical research and the feasibility and role of mobile foreign language learning. The author analyzed the current situation and existing problems of mobile foreign language learning and proposed corresponding improvement measures.
Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization

Pairwise comparison data arise in many domains with subjective assessment experiments, for example in image and video quality assessment. In these experiments observers are asked to express a preference between two conditions. However, many pairwise comparison protocols require a large number of comparisons to infer accurate scores, which may be unfeasible when each comparison is time-consuming (e.g. videos) or expensive (e.g. medical imaging). This motivates the use of an active sampling algorithm that chooses only the most informative pairs for comparison. In this paper we propose ASAP, an active sampling algorithm based on approximate message passing and expected information gain maximization. Unlike most existing methods, which rely on partial updates of the posterior distribution, we are able to perform full updates and therefore much improve the accuracy of the inferred scores. The algorithm relies on three techniques for reducing computational cost: inference based on approximate message passing, selective evaluations of the information gain, and selecting pairs in a batch that forms a minimum spanning tree of the inverse of information gain. We demonstrate, with real and synthetic data, that ASAP offers the highest accuracy of inferred scores compared to the existing methods. We also provide an open-source GPU implementation of ASAP for large-scale experiments.
Study on Case-based Teaching in Military Academies Based on Information Technologies

Case-based teaching, as a heuristic teaching method combing theory and practice and an important approach to practical course teaching, allows students to experience and discover knowledge in person directly and indirectly. A new implementation pattern has been provided for it with the constant promotion of information technologies and teaching platforms. This paper introduces the origin and development of case-based teaching, analyzes the connotation of teaching cases and case-based teaching deeply, discusses the methods of compiling teaching cases, and meanwhile puts forward effective measures for the implementation of case-based teaching based on information technologies in a targeted way under the background of military academies in combination with existing problems in the process of case-based teaching.
Analysis on the Innovation of College Chinese Teaching Model in the Internet Age

The rapid development of Internet technology can change people's lives and working methods to a large extent, and the application of Internet technology in the field of education is of great help to the improvement of education level and quality. As a public basic course offered by many colleges and universities, college Chinese has more or less problems in the teaching process. These problems directly affect the overall teaching level of college Chinese. At present, the state has made clear arrangements for the construction of new liberal arts. Under the requirements of the new era, in the context of the development of the Internet, in order to enable college Chinese to keep up with the development of the times and germinate new vitality, we need to research and analyze the innovative mode of college Chinese teaching in the Internet era. At the same time, we must also propose effective innovative strategies for college Chinese teaching so as to promote the modern development of college Chinese. Keywords: Internet; College Chinese; Teaching Mode; Innovation Strategy.
INSTRUMENTAL SUPPORT OF STEM EDUCATION IN PRIMARY SCHOOL

The socialization of children takes place in an environment of "growth in the digital world" today. These children are significantly different from children who went to school 5-10 years ago, because the use of interactive games, various gadgets, computerization of educational and social services has become commonplace, a daily occurrence. As a result, the age barrier of targeted use of information and communication technologies today has decreased from the traditional 8-10 years to 4-5 years. This explains the ideology of changes in education regarding the end-to-end application information and communication technologies in the educational process. As part of the modernization of the Ukrainian school, special attention is paid to the concept of STEM, which logically reflects social change and provides appropriate introduction to educational practice of new technologies aimed at intensifying the educational process, improving forms and methods of teaching, expanding the range of practical skills. It is shown that the introduction of elements of STEM-education in the educational practice of primary school involves the use of specialized STEM-tools. The article is devoted to highlighting the didactic possibilities of STEM-tools as an instrumental support for the use of elements of STEM-education in the education of primary school children. It is revealed that an important role in achieving positive results in the implementation of STEM-education belongs to its instrumental support, which provides an opportunity to implement experimental, design, inventive activities of students in the educational process. A list of specialized STEM-tools aimed at primary school students, which the teacher can use to organize an experiment, research.
Contextualización del proceso enseñanza-aprendizaje de las matemáticas en ingeniería y el desarrollo del pensamiento crítico matemático en estudiantes

Currently in the process of teaching-learning of mathematics, a panorama of a science with an abstract nature is glimpsed. In such a way that the acquisition of knowledge is in a mechanized way and the teacher's word is taken as dogma. The problems and equations formulated to the student are formulated under a mathematical conception with strong cohesion towards the nature of the operation to be solved, under a perspective that is irrelevant to the student within the process of assimilation of knowledge, leaving even more the aspect of its application within the context of their daily life and therefore how relevant their learning can become. From this area of opportunity arises the concern of this research project based on the improvement of the teaching-learning process based on the contextualization of scenarios that facilitate the acquisition of knowledge, mathematical critical thinking and the ability to locate the field of application of The same, developing their own methodologies, taking into account the teacher and student expertise, thereby trying to achieve a meaningful teaching-learning process, simpler acquisition and retention for the student and to achieve for the teacher.
Knowledge and Skills of Using Frog VLE among Primary School Students in Mathematics Learning

Frog VLE is an educational innovation that uses multimedia materials to support student learning.The purpose of this study was to determine students' knowledge and skills regarding the use of Frog VLE in mathematics learning.150 fifth-year students were chosen at random to be the respondents of the study.The research instrument is a set of questionnaires with consist of three constructs that include knowledge, skills, and use of the Frog VLE.The descriptive statistics, t-test, and Pearson correlation were used to analyse the data which was conducted using SPSS 23.0 software.The findings of this study revealed that Frog VLE knowledge and skills are at a moderate level among the respondents.The t-test result indicated that there was a significant difference in knowledge of how to use Frog VLE based on gender, but there was no significance difference in skills of how to use Frog VLE based on gender.Pearson correlation test results show a strong and significant positive relationship between Frog VLE knowledge and skills and Frog VLE use in mathematics learning.The findings show that the greater a student's knowledge and skills of Frog VLE, the greater his or her use of Frog VLE in mathematics learning.These implies that using ICT in mathematics teachings requires students' knowledge in skill in order to enhance students' learning.
Difficulties of applying e-learning in teaching chemistry to high school students from the point of view of supervisors, teachers, and students in Nalut, Libya: صعوبات تطبيق التعليم الإلكتروني في تدريس الكيمياء لطلبة الثانوية العامة من وجهة نظر المشرفين والمعلمين والطلبة في نالوت الليبية

This study aimed to identify the difficulties that hinder the implementation of e-learning. This study used the descriptive design using the quantitative approach by using a questionnaire as a study tool after confirming its degree of validity and reliability. The random sample that was (724) chosen among supervisors, teachers and students from the Libyan high school Nalut, for the academic year 2018-2019. Descriptive analysis was done using the statistical analysis SPSS version (21.0). One of the most prominent results of this study was that the difficulties of the contexts came in the first order with an arithmetic average (3.79), while the technological difficulties in the second order with an arithmetic average (3.77), while the individual difficulties in the third arrangement with an arithmetic average (3.75), and finally the difficulties of the curriculum in the ranking Fourth, with an average of (3.62). And all the difficulty level was high, as the total areas of the tool got an arithmetic average (3.73), and this indicates that the level of difficulties that prevent the application of e-learning in teaching chemistry to high school students from the point of view of supervisors, teachers and students is high. The study suggested a conceptual framework that integrates the difficulties and the relationship with the individual's difficulties, and the proposed conceptual framework contributes to knowing the obstacles of e-learning by creating a guide for educational institutions in Libya in order to develop and implement better, and it works as a tool to avoid the failure of implementing new e-learning projects through planning that meets trends and tendencies Individuals toward the effective use of e-learning and as an evaluation method for the effectiveness of existing e-learning projects.