Reviewerly/exHarmony huggingface dataset:
Pedagogical Possibilities of Distance Learning in the Educa-tional Process of the School

Modern education is increasingly frequently turning to the possibilities of distance ways of transferring knowledge.The reasons for this are sufficient, as distance education has a number of advantages that are not offered in the traditional form of education.In particular, it refers to the lack of direct contact between the object and subject of education, which is particularly important for practicing remote interaction with children who are gifted and have special educational needs or for children associated with learning objects with health limitations.In this connection, this article is aimed at disclosing distance learning issues in the educational process of the school.The leading method in the problem study was the method of deconstruction, which helped to define various interpretations of the concept of distance education in Russian and foreign sources.The article reveals the problems, forms and types of distance education, as well as models of distance education used in the educational process of the school.The issue of pedagogical possibilities of distance education, reflected in the law "On Education in the Russian Federation" (2012), is studied and disclosed in the research.The materials presented in the article allow using them for preparing school teachers to distance learning, which determines its practical importance.
Optimization of Fuzzy Inference System Using Genetic Algorithm

Veerababu, Seela Naga Roja, Konna Kumar Reddy, M. V. Manoz Kumar Reddy, K. Ramesh, AdireddyWith increase in number of fuzzy membership function, fuzzy rules also get increased. The increased number of fuzzy rules creates computational complexity, and it becomes computationally more expensive. To optimize the fuzzy inference system, this paper provides a genetic algorithm-based approach which reduces the number of rules as well as reduces the computational time and complexity. A detailed analysis has been provided, and simulation results have also been provided. Mamdani-based FIS has been optimized using GA for a control system application.
Investigating the Influence of 2—D presentation versus 3—D rotation presentation formats on user perception

When presenting a product through digital media, both designers and retailers aim to communicate with their audience in the most effective way using visual perception. Previous studies have found that a users’ perception and behavior are affected by the visual presentation. The purpose of this study is to discover how a users' perception and evaluation of a product change depending on how the product is presented. In this study, we specifically look at the presentation formats of 2—D orthographic views and 3—D simulated format (360 rotation). This study employs a between-subject design with surveys and an eye—tracking test to determine if 2—D presentation or 3—D presentation resulted in better user evaluation and higher approval to the product design. We found that users have a better understanding of product aesthetics, usefulness, and product ease of use when they were viewing 2—D orthographic images of products versus when they were viewing the 3—D 360 rotation presentation format. Future marketing, design, and theoretical implications as well as future research directions are discussed.
Semi-supervised Classification of Data Streams Based on Adaptive Density Peak Clustering

In the real-world scenario of data stream classification, label scarcity is very common. More challenges are data streams always include concept drifts. To handle these challenges, an algorithm of semi-supervised classification of data streams based on adaptive density peak clustering (SSCADP) is proposed. In SSCADP, to generate concept clusters at leaves in a Hoeffding tree, a density peak clustering method and a change detection technique are combined to adaptively locate the clustering centers. Concerning concept drift detection, we argue that the change of cluster with higher density more likely reflect the change of data distribution. Hence, to detect concept drifts, an adaptive weighting method for density change detection is proposed to calculate the deviations between the history concept clusters and new ones. Experiments on synthetic and real datasets confirm the advantages of SSCADP.
Emotions and Dense Words in Emotional Text Analysis: An Invariant or a Contextual Relationship?

Emotional textual analysis (ETA) analyses the symbolic level of texts as a part of applied research and interventions. It is based on the study of the association of dense words, words that convey most of the emotional components of texts. In this approach, language is thought of as an organizer of the relationship between the individual contributor of the text and his or her context, rather than as a detector of the individual’s emotions. This paper presents the findings of a research project whose goal is to advance the reflection on the theoretical construct of dense words based on its use in psychosocial interventions. Seventy-nine dictionaries of 79 ETAs, which were conducted over a period of 11 years by two different groups of researchers, were analysed in order to: (1) measure the concordance between the two groups of researchers in identifying dense and non-dense words in the analysed texts; and (2) explore, by correspondence factorial analysis, the relationship between the range of consistency of the words and their presence as dense or non-dense in the groups of dictionaries that were aggregated whenever their original corpuses were thematically similar. The results of these analyses show the level of agreement among researchers in identifying emotional density, confirm the hypothesis that there are affective invariants in words and suggest that the relationship between words and emotions can be represented along a continuum in which the context assumes a discriminating function in identifying density or non-density. Thus, it would seem that the construct of density has fuzzy boundaries and is not dichotomously polarized as in sentiment analysis, which classifies words as positive or negative.
Teaching Practice of C Language Based on SPOC

Based on the SPOC's flipped classroom mixed teaching concept, the SPOC and OJ platforms are introduced into the C Language Programming classroom teaching to enable students to change from passive learning to active knowledge seekers. SPOC is combined with the traditional teaching mode so as to achieve the teaching effect of improving the code writing ability and logical thinking ability in the teaching process.
Exploring the Syntactic Structures of Mature Group using Virtual Assistant in Taiwan

With the rise of artificial intelligence, virtual assistants are becoming common in various smart devices. The mature groups in the aging societies of today will become the senior citizens of tomorrow, and not as many senior citizens use virtual assistants. The objective of this study was to examine the needs and syntactic structures that mature groups have and use when using virtual assistants. We conducted speech task experiments and interviewed the participants. Our results revealed that when mature groups use virtual assistants, they tend to talk to them and explain their needs rather than issue direct commands, and they sometimes use inverted syntactic structures. In many tasks, the responses included both commands and queries.
Learning Fundamental Visual Concepts Based on Evolved Multi-Edge Concept Graph

In general, visual media comprises a set of elements of basic semantics, named fundamental visual concepts, that may not be semantically decomposed, such as objects, scenes and actions. This paper proposes a dynamic learning framework for fundamental visual concept learning from image-textual description paired data based on an evolved multi-edge concept graph (EMCG). First, we construct a multi-edge concept graph to represent the relationships between visual concept instances, in which we introduce two types of edges named visual edges and semantic edges to describe the connection strength in terms of visual appearance and semantic content. Second, we evolve the graph by updating connection strength based on the predicted results of concept learning. Finally, we present a growth algorithm for the multi-edge concept graph to handle cross-dataset concept learning. Driven by the predictions, the multi-edge concept graph can dynamically evolve over time by adjusting the connection strength to adapt better to the observations. In addition, our approach can be considered a weakly-supervised learning algorithm since no labeled concepts are employed for learning. Experimental results demonstrate that evolution can significantly improve the learning of fundamental visual concepts by <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\text{14.2}\%$</tex-math></inline-formula> , <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\text{7.9}\%$</tex-math></inline-formula> and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\text{12.7}\%$</tex-math></inline-formula> in terms of F1-score for the MSRC, VOC2012 and MSCOCO datasets, respectively, and that the proposed EMCG approach largely outperforms the compared approaches.
Demonstration of ObserVAR: Visualization System for Observing Virtual Reality Users using Augmented Reality

Virtual Reality (VR) has been used increasingly as a part of VR classroom in which students can explore outside the classroom experiences inside the classroom. However, the instructor is unaware of the students’ activities and engagement inside the virtual experiences, because the instructor cannot observe a large group of students inside the VR classroom. Thus, it hinders interactions between the instructor and students. To solve this challenge, we present a visualization method that allows the instructor to observe VR users (i.e., students) at scale using Augmented Reality. Specifically, the virtual environment and students’ gazes are visualized for the instructor and optimized to reduce visual clutter, so the instructor has overall awareness of the entire VR classroom.
Research and design of software package “Medved.Telemed”

The work is devoted to design of the software package "Medved.Telemed". In this paper, the main types of architectures and their application situations were studied. Also, we study the main competitors, the legal basis. And current trends in the development of healthcare in the field of digital medicine. Based on the knowledge achieved and identified requirements, a hybrid architecture of a new information system has been developed. The system which is a combination of several architectural patterns, each of which at its own level provides the flexibility and scalability of each component and solution in the whole.
A Multi-filter BiLSTM-CNN Architecture for Vietnamese Sentiment Analysis

Feedback is information about reactions to a product or a person's performance of a task. It is powerful as it serves as a guide to assist people to know how others perceive their performance and helps them meet standards. This paper concentrates on the use of natural language processing and deep learning. It combines the advantages of these approaches to perform sentiment analysis on student and customer feedback. Furthermore, word embedding is also applied to the model to add complementary effectiveness. The preliminary findings show that the use of BiLSTM-CNN–the first to catch the temporary information of the data and the second to extract the local structure thereof–outperformed other algorithms in terms of the F1-score measurement, with 93.55% for the Vietnamese Student's Feedback Corpus (VSFC) and 84.14% for the Vietnamese Sentiment (VS). The results demonstrate that our method is an improvement compared to the best previously proposed methods on the two datasets.
Development and Application of Computer Experiment Course APP for College Students

Illustrated by a computer laboratory of certain university, this paper begins the investigation and analysis of user groups and laboratory business processes starting from the actual needs of equipment management information. Then it uses UML unified modeling tools to plan and design the overall architecture, specific functions and database of mobile application information system. Using cross platform development scheme and Java language to develop Android client, we realize the remote database service function with MySQL and SOA framework. The device reservation function is developed through the mobile phone port of Google Desktop Calendar Fullcalendar. Finally, the design and implementation of the laboratory information mobile application system based on Android is completed, and the subsequent debugging and release are performed. The test results show that the system is stable, reliable and easy to be used, which can better meet the needs of teachers and students in common experimental teaching application scenarios.
Content Integrity Techniques for Digital Quran

The trend of reading Digital Quran online has increased among the internet users. The Holy Quran is the most sacred scripture for Muslims has been preserved from any kind of distortion since time immemorial. However, with the advent of cyber threats, attempts have been made to tamper its contents. The present article focuses on systematically identifying and categorizing suitable techniques that can be used to preserve the content integrity of the Digital Holy Quran. The focus has been on exploring techniques suitable for text and image format only. The article is concluded with future challenges in Quran and Hadith authentication.
Review and Potential Development of Solar Window Technology and Feasibility Study in Urban Area, Hong Kong as Case Study

Abstract Net Zero Energy Building (NZEB) has been a rising topic in recent years, the route to achieve NZEB through renewable energy generation with the adaptation of solar window is explored. Literature review with current market research on the technology are studied and consolidated. Transformation from the current semi-transparent to future visibly transparent solar window is observed. Potential development of modular design with Wireless Power transfer is suggested for wide application of solar window. In the light of the large potential of solar window, feasibility study is conducted to analysis the application of the technology in Hong Kong context in term of the climate and installation criteria due to the Feed-In-Tariff (FiT). Solar analysis of solar resource availability and electricity generation are evaluated and simulated by Radiance using the morphologies of Central, Hong Kong as case study. Equations are developed for setting up selection criteria and estimating the suitable area for installation. 40.1% of solar insolation on an unobstructed horizontal plane was identified as threshold for installation in Hong Kong and the minimum installation is estimated to be 50 m 2 in order to be cost effective
Beyond Apps and Activities

This chapter examines the importance of intentionally planning with an instructional framework to leverage the use of technology. The author provides an integration framework to support middle and secondary language arts teachers. The author shares how she has refined the process of using mobile phones in her classroom. Initially, her focus was on trying new mobile applications in her language arts classroom by adding technology to existing lessons or adapting lessons to use with the mobile application. Next, she became more strategic, examining student thinking and actions throughout a daily workshop lesson and developing and applying a resource guide for mobile applications specifically geared for each lesson segment of class: opening, work period, and closing. No longer focused on application fit or application first, the author shares the transformative power of deliberately planning for the use of technology: a practice that has improved her clarity and amplified student learning.
Regrasping by Using Active Visual Servoing for Bin-picking and Kitting Applications

To automate bin-picking and kitting applications for texture-less objects with utilizing general-purpose hands, changing the grasping pose is required when the grasping pose is not suitable for kitting. We present a regrasping method to change the grasping pose with general-purpose hands mounted on a dual-arm robot. The success rates of the regrasping with general-purpose hands becomes lower due to a grasping error that occurs on the picking process. The proposed scheme corrects the grasping error before the regrasping by active visual servoing. Active visual servoing performs a visual servoing by projecting a pattern to the object. Active visual servoing does not require feature extraction of target parts; thus, positioning accuracy does not depend on the richness of texture. Experimental results show that the proposed method can achieve high success rates for kitting three target objects, compared to the conventional image-based visual servoing method.
Evaluation of Resource Scheduling Ability of Joint Action System of System in Military and Local Government

Abstract Based on the normal process of system evaluation, this paper defined the resource scheduling ability of the Joint Action System of System in Military and Local Government from some aspects such as staff, equipments and materials. In this paper, the quality of task completion was taken as the utility function of resource scheduling for building the evaluation method of resource scheduling ability of Joint Action System of System in Military and Local Government. Moreover, the feasibility of the evaluation method was verified by actual cases, so this paper solved the operational problem of resource scheduling capability evaluation of this system.
Bottom-up

The rapid development of blockchain technology has aroused people's attention to its security issues. The immutability and non-repudiation of the blockchain ensure the security of upper-level data and networks, but the existing mechanisms of the blockchain have always been difficult to guarantee its underlying Security. This paper proposes a method for verifying the trusted launch of a blockchain, which is used for trusted verification before the launch of a blockchain network. This method mainly uses a solution that combines trusted computing and blockchain networks in cloud scenarios to solve the integrity and security issues at the start of the blockchain to prevent potential problems. The architecture of this article is composed of a blockchain network, SGX Application and cloud database. We build a trust chain based on key services and files when the blockchain is started, and use integrity verification to transfer trust. Hashing is performed with the support of SGX to ensure the security of the verification process. Under the condition that the performance at the time of loss is about 50% to 62%, the underlying security is fully guaranteed.
High precision machine vision measurement based on the in situ comparison

The battery size is measured by the proposed machine vision method. The morphological method is used to locate the edge at the pixel level quickly, and then the Zernike moment method is used to extract the sub-pixel edge. An in-situ comparison method is proposed to calculate the size deviation between the battery and the standard board, by which the measurement error caused by the distortion when the image has residual distortion can be effectively reduce.
The Use of Story Frames to Improve Students' Reading Comprehension on Narrative Text

This study was conducted for the purpose of improving Vocational High School students’ ability in reading comprehension on narrative text using story frames strategy. This study used Classroom Action Research (CAR) design. The steps of CAR were planning, implementing, observing, and reflecting. It took one cycle consisted of four meetings to achieve the criterion of success. Data collections were collected using pre-test, final-test and field notes. The subjects of this research were 35 students of X APh2 (Akomodasi Perhotelan) of SMKN 3 Malang in the second of semester of the academic year 2018/2019. The result of this study showed that the use of story frames strategy can improve the students’ reading comprehension on narrative text. It was shown that there were 30 students (86%) had been achieved the criteria of success. Based on the findings of this study, some suggestions can be directed toward the English teacher and future researcher(s). For English teacher, this strategy can be used as one of the strategies to solve reading problem in the class. For further researchers who will conduct the same strategy, they have to allocate sufficient time on doing every activity in story frames strategy.
Privacy Oriented Ecosystem Comparable to Google’s Ecosystem

As technology evolved, questions about privacy became more and more prominent "What is Google doing to my data?", "What do they know about me?", "How to keep safe?", are just a few questions that arise. Can we trust Google with our data? Ultimately, data that is not in our hands is not ours to manage either. They do whatever they want with it, and there's no stopping them, unless we don't give them our data in the first place. This paper aims to dive deep into how tech companies make use of your data, what they can potentially do with it, what is known they do with it, and to provide an alternative that compromises as little data as possible while keeping as much functionality as possible. As we will see, many times, there is a tradeoff between privacy and functionality.
Media Content as a Tool for the Development of the Reflexivity of a Future Teacher in Special and Inclusive Education

The relevance of the study of this problem is determined by both the institutionalization of the idea of inclusive education and the unpreparedness of the professional community to work in new conditions where children with different psychophysical and social-emotional development levels study together with ordinary peers.Such a situation sets special requirements for the level of professional competence of teachers.Studies have offered the concept of inclusive competence of the teacher.This concept includes contextual (motivational, cognitive, reflexive) and key operational competencies of a future teacher in the field of special and inclusive education.The ability of a special educator in pedagogical reflection will contribute to the individualization of correctional and pedagogical activities and the optimization of communication with subjects of professional activity.This article, therefore, is focused on the study of such a psychological phenomenon affecting future special teachers, along with exploring the possibilities of using fiction media content as a tool for developing pedagogical reflexivity.The leading method in the study of this problem is the survey method conducted among 63 students of the "Special (defectological) education" discipline, which helped to identify the prevalence of the formation of pedagogical reflection among 53% of participants at a medium or low level (32%).The article explains the concept of inclusive competence of a teacher in terms of its significant component -reflexivity; also, the reasoning behind the inclusion of this phenomenon in its structure is provided, and art media content is suggested to be considered as the tool for pedagogical reflexivity formation.The author proposes to discuss a potential concept of media education for educators of the system of special and inclusive education.The materials provided in the article allow adjusting the content and methods of personnel training for the system of special and inclusive education following the Paris program of media education and recent studies in this field.