Reviewerly/exHarmony huggingface dataset:
UTIO: Universal, Targeted, Imperceptible and Over-the-air Audio Adversarial Example

The audio adversarial example has been demonstrated to be an effective attack which leads to prediction errors of the intelligent voice control system (e.g., deep neural network based speech recognition service), despite resembling a valid input to our human beings. An ideal adversarial example attack should have four major advantages, including 1) utilizing a universal adversarial perturbation against arbitrary voice commands, 2) tricking a model to get an incorrect and targeted result, 3) imperceptible to users even in a silent place and 4) validating in an over-the-air (OTA) scenario as well. However, existing studies mainly involve several but not all of these criteria. In this paper, we propose UTIO, a universal, targeted, imperceptible and OTA audio adversarial example design, which leverages one perturbation to fool a speech recognition model in OTA scenarios. Moreover, a variety of speeches can be misled to a targeted threat command imperceptibly. To harvest such benefits, we leverage two targeted loss functions to generate adversarial perturbations, and employ the psychoacoustic principle to further conceal the attack. Finally, we actively embed additional distortions, occurred during the physical propagation, in the process of perturbation generation to make UTIO still valid in an OTA scenario. Extensive experiments show that UTIO can perform 94.15% success attack rate locally, i.e., without physical propagation, while retaining 93.44% attack rate in an OTA scenario. In addition, three types of defensive strategies are also introduced to resist against our attack.
Group $\mathrm{L}_{1/2}$ Regularization for Filter Pruning of Convolutional Neural Networks

Group regularization method has been widely used for structured pruning of convolutional neural networks (CNNs). While the group lasso (GL) regularization can impose group level sparsity on redundant filters, it cannot impose strong sparsity on the redundant weights in the retained filters. This leads to the low weight sparsity of the retained filters and the inability to prune the retained filters with few redundant nonzero weights. In this paper, the group <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{L}_{\mathbf{1}/\mathbf{2}}$</tex> regularization <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathbf{GL}_{\mathbf{1}/\mathbf{2}})$</tex> is introduced into the loss function for pruning not only the redundant filters but also the redundant weights of the retained filters. The numerical experiments show that <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{GL}_{\mathbf{1}/\mathbf{2}}$</tex> can obtain better pruning performance with comparable to even better accuracy performance than GL. In addition, the empirical analysis in terms of regularization loss shows that <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{GL}_{\mathbf{1}/\mathbf{2}}$</tex> possesses more powerful punishment ability than GL.
Chaotic image encryption method based on Zigzag scrambling and DNA coding

In the process of using the network, data security needs to be considered. Image, as an important part of data, also needs to be considered. Image encryption play an important role in protecting users' confidential data. This paper design a new image encryption algorithm based on chaotic sequence, zigzag scrambling, DNA coding. The experimental results indicate that this method can effectively encrypt data and ensure data security.
A Math Word Problem Solver Based on Deep Adaptive Graph Convolutional Networks

Among the tasks of natural language processing, the solution of math word problems is an important research topic. In this paper, we propose a new math word problem solver (DGT). Our solver uses the Seq2Seq model, which consists of two parts: an encoder with joint BiLSTM and DAGCN, and a tree-based decoder. We design four relationship graphs about quantity nodes and word nodes as the input of DAGCN in the model, namely, the relationship graph of adjacent word nodes, the relationship graph of quantity nodes and surrounding word nodes, the relationship graph of quantity node sizes, and the relationship graph of the same surrounding word nodes, which can better help the model understand the relationship between quantities and thus improve the accuracy of math word problem solving.
Multi-influenced Factors Prediction Using a Combination of GEP and PCA-GRNN Model Based on the Shapley Value Method

The powerful function mining ability of the gene expression programming algorithm has obvious advantages in predicting dependent variables under multi-influence factors. PCA can obtain the key characteristics of the main influencing factors by the data reduction processing, and the generalized regression neural network can effectively overcome the disadvantage of slow training of the traditional neural network. Taking the cost of civil engineering in subway tunnels as an example, this paper introduces the Shapley value method for a combined prediction based on the prediction results of the above two optimal single prediction models and determines the weight of the two models based on the error of allocation. The results of the study show that the combined prediction model based on the Shapley value method reduces the error better than the single prediction model and further improves the prediction accuracy.
Equipment selection method and application of power grid infrastructure project based on particle swarm algorithm

With the acceleration of power grid construction, the assets of power grid equipment are increasing. There are many kinds and large quantities of power grid equipment, and their operation conditions vary greatly. Based on particle swarm optimization with passive aggregation (PSOPC) algorithm and harmony search (HS) algorithm, a new hybrid particle swarm optimization (HPSO) algorithm is constructed. According to the characteristics of power grid planning, the algorithm uses “fly back mechanism” to deal with the constraints of variables, and uses harmonious search to deal with the constraints of planning problems, so that particle swarm always stays within the feasible region during the iteration process. At the same time, the algorithm introduces passive aggregation factor, which effectively improves the evolution mechanism of particles and improves the free search ability of particles. In order to obtain more accurate prediction results, a combination algorithm based on improved particle swarm optimization is adopted to optimize and combine the prediction results of the three methods to obtain the final prediction value.
Design of English Guidance Information System Based on Multiple Reading and Writing Information Fusion Algorithm

Diversified literacy is a new requirement for students' literacy in today's information globalization and culturally diverse society. In college English teaching, based on the theory of multiple reading and writing, this paper designs an information-based system to guide the teaching of college English. According to the four steps of multiple reading and writing teaching method, students are trained in visual reading and writing, media reading and writing, digital reading and writing, and digital reading and writing. Multiple reading and writing skills such as critical reading and writing. Master multiple ways to build a multi-modal teaching model, and optimize the available multi-modal resources to the greatest extent, so as to stimulate the interest of non-English majors in English learning and cultivate their multiple reading and writing skills Ability and comprehensive application ability of English.
Pengaruh Penerapan Model Pembelajaran Kooperatif Tipe Make a Match Terhadap Hasil Belajar Siswa Kelas X Pada Mata Pelajaran Pendidikan Agama Islam di SMAN 1 Sungai Puar

This research is a quantitative research with experimental type and quasi-experimental research design in the form of nonequivalent control group design. Sampling using the Nonprobability Sampling technique with purposive sampling type, the research sample amounted to 42 people, with a population of 131 people. The instrument is an objective test in the form of multiple choice. Data analysis with descriptive statistics, then the analysis requirements test consists of normality test and homogeneity test. And for hypothesis testing using t-test (t-test). Based on the initial test or pretest conducted in the experimental class, an average of 55.5 was obtained. While in the control class, obtained an average of 63.18. After being given a pretest to both classes, then the make a match learning model was carried out in the experimental class and conventional learning in the control class. After that, both classes were given a final test or posttest, the experimental class obtained an average of 86.25 with the highest score of 100 and the lowest score of 65, while the control class obtained an average of 82.5 with the highest score of 100 and the lowest score of 50. Furthermore, The analysis prerequisite test was carried out, namely the normality and homogeneity test of posttest scores with the results of the data being normal and homogeneous. Thus, it can be concluded that there is a significant effect of the application of the make a match learning model on the learning outcomes of class X students in PAI subjects at SMAN 1 Sungai Puar
Editorial for Vol.30, No.1

This March 2022 issue (Vol. 30, No. 1) of CIT. Journal of Computing and Information Technology brings four papers from the areas of machine learning, risk prediction, anomaly detection, and social networks.
Investigating the Effective Technique Used by Secondary School Students in Strengthening Reading Comprehension

This study aims at investigating the effective technique used by secondary school students in strengthening reading comprehension. The study adopted the experimental method. Pre-posttest test is used as a primary tool for data collection. The population of the study is year students of English- College of Education at SUST. The sample of study drawn from the population consisted of 44 students who were selected randomly. This study used the statistical package for social science (SPSS) program to analyze and verify the hypotheses. The results showed that pre-test and posttest show that there are statistical significance differences among the respondents of experimental group in terms of reading technique. On the other hand, students unable to use scanning techniques while practicing reading in the classroom. Furthermore, students do not use skimming technique for obtaining general information. The study recommended that students should be aware about different types of reading skill. Teachers should consider students' level when using reading techniques.
The psychology of social cognition: Prospects for development in a changing society

The results of theoretical and empirical research of the phenomenology and mechanisms of social cognition in the conditions of fluid modernity, social uncertainty and transitivity are summarized in this article. The starting point is the position of the scientific school of G. M. Andreeva, according to which social cognition is considered as an affective and cognitive process of constructing the image of the social world in the individual and public consciousness. A new transdisciplinary concept of social cognition, which integrates the principles of psychology of cultural activity and social constructionism, as well as theories of social representations and collective emotional experiences is presented. The new research direction that greatly expands the subject area of psychological investigation of social cognition — the social psychology of everyday life is verified. It is everyday life that acts as the optics of the analysis of subjective perception and emotional experience of social changes as a situation of uncertainty in various spheres of everyday life of society and culture (from new media to contemporary art). The proposed and implemented aesthetic paradigm in the social psychology of everyday life combines two ways of understanding, explaining and predicting social changes: scientific-conceptual and artistic-figurative (or visual). Thus, the aesthetic paradigm synthesizes the scientific and aesthetic discourses of psychology and art history. In this regard, it is a flexible methodological strategy that opens up the prospects for a multidimensional analysis of modern society and culture that cannot be conceptualized in traditional categories of social cognition (for example, mental models, categorization, causal attribution). On the basis of the aesthetic paradigm of everyday life, a new construct of precarity is introduced for domestic psychology, which means individual and collective emotion experience of total vulnerability, fragility and insecurity of a person in a situation of uncertainty. This construct makes it possible to analyze the affective states that characterize the mass consciousness of modern society. At the same time, specific instruments for studying the emotional experience of social change, including precarity, are qualitative methods for collecting, analyzing and interpreting data, which today unites in a sole methodological approach to the study of social cognition.
Temporal Variability of Solar Energy Availability in the Conditions of the Southern Region of Mozambique

The use of photovoltaic solar energy is affected by variations in the availability of solar radiation, which creates stability in solar panels. In our case, the need arose to study the temporal variability of solar energy in the southern region of Mozambique. This was followed by a descriptive sequence, applying the analytical method for the classification of days and the analysis of the day’s variability of clear, cloudy and intermediate skies in the data from three regional stations. The results show that it was mostly on clear sky days (44.64%), enhancing the use of solar energy. Statistical analysis of the frequency density variability shows that days with intermediate skies have a similar behavior, however they present a smooth decrease, because for variation of clear sky index ∆Kt* in the interval [-2,2] it is higher. The values of Kt* vary between 0.3342–1.2764, the minimum is observed in the month of July and the maximum in December and the variations during the daily course of the Kt* determined according to its standard deviation show such suitability to the model adopted for the calculation of global irradiation under the clear sky, as an appropriate choice of time interval and amplitude for the study of variations.
Trends and Vectors of Development of Information Educational Resources in the Context of Military Aggression

Under conditions of large-scale military aggression, Ukrainians had to mobilize and clearly respond to radical changes in all spheres of life. The education system updates and diversifies educational resources, disciplinary knowledge, and demonstrates readiness for all possible types of education: off-line (in regions without warfare), online (in red zones and in case of massive rocket attacks), hybrid education, individualized education (for refugees), etc. Education in war involves the use of a variety of information resources and technologies, in addition, involves research operations, selection, use, resulting in a powerful educational system response experience. In fact, in the past three years, humanity became a witness of significant changes in the information landscape available to education. Thus, it can be noted that all these reasons developed the proliferation of online learning and social platforms, the increasing complexity of information storage and sharing methods. Namely, it is the education that offers the deployment of private or free educational resources, or the generalization of content sharing platforms, community websites, or the personal blogs of teachers.
ENROLLMENT AND SCHOOL DROPOUT DUE TO THE PANDEMIC, IN MEXICO

Appears in: INTED2023 Proceedings Publication year: 2023Pages: 332-337ISBN: 978-84-09-49026-4ISSN: 2340-1079doi: 10.21125/inted.2023.0123Conference name: 17th International Technology, Education and Development ConferenceDates: 6-8 March, 2023Location: Valencia, Spain
CLIMBING THE DIGITAL LADDER- EMBRACING DIGITAL TECHNOLOGIES AND MEETING DIGITAL DEMANDS OF THE LIBRARY PATRONS

CLIMBING THE DIGITAL LADDER- EMBRACING DIGITAL TECHNOLOGIES AND MEETING DIGITAL DEMANDS OF THE LIBRARY PATRONS
Fast Technique to Recognize Closed Characters in Arabic Handwriting

Considering the distinctive features and characteristics of Arabic scripts,recognizing handwritten Arabic characters is still widely open as a majorexperimental task, which is not easy to overcome. This study attempts to developa fast and effective technique for recognizing this difficult type of written scriptby using an iterative algorithm to extract closed Arabic characters. Some Arabiccharacters have circles that may be blurred, incomplete, unformed, or distorted. Inaddition to ligatures with different shapes, the technique is based on thedevelopment of a proper Circular Hough Transform. This study used IFN/ENIT,which is a standard database for extracting closed Arabic characters as designedin classes. The first class is closed blurred circles ( .)ق, م , ع ,وThe second class isunformed circles ( .)ق, ع , ةThe third one is incomplete circles (ط , ظ, ص, ض, .)ه,ةFinally, the fourth class is distorted circles ( .) ط, ظThis methodologyachieved an outstanding accuracy of approximately 96.67%, a very interestingwork for the total four classes related to the 11 closed Arabic characters (out ofthe 28 characters of the Arabic alphabet)..
HOW DO DYSLEXIC CHILDREN READ? EVIDENCE FROM EYE TRACKING

Appears in: INTED2023 Proceedings Publication year: 2023Page: 6088 (abstract only)ISBN: 978-84-09-49026-4ISSN: 2340-1079doi: 10.21125/inted.2023.1609Conference name: 17th International Technology, Education and Development ConferenceDates: 6-8 March, 2023Location: Valencia, Spain
Online teaching; An emerging reality

Education is a social practice historically placed, and goes beyond all human activity, spreading to the network of relations that takes place in the social fabric, mediated or not by some kind of technology. Online education constitutes a new professional configuration, a possibility of the effective use of teaching and the effective construction of knowledge from another spatial-temporal logic, without losing sight of the objective conditions of social networks. The objective of this study was to assess the emerging reality of online teaching. This study used the literature review method. A content analysis method was used to analyze resources derived from previous literature. The concept of education is in a state of flux at the moment, where both old and new concepts are competing to prove their validity. A progressive educational system can only be achieved through time, research, and more intensive use of innovative practices, supported by the most recent possibilities offered by information and communication technologies.&#x0D; Keywords: Education; E-learning; online teaching; professional configuration; Virtual Teaching.
«... I LEARN THE MOST WHEN I HAVE SOMEONE TO PRACTICE WITH» - STUDENTS’ EXPERIENCE WITH ONLINE TEACHING FROM AFTER AND FURTHER EDUCATIONS

«... I LEARN THE MOST WHEN I HAVE SOMEONE TO PRACTICE WITH» - STUDENTS’ EXPERIENCE WITH ONLINE TEACHING FROM AFTER AND FURTHER EDUCATIONS
POSSIBILITIES OF USING GAMES IN TEACHING AND LEARNING THE BASIC CONCEPTS OF OBJECT-ORIENTED PROGRAMMING

POSSIBILITIES OF USING GAMES IN TEACHING AND LEARNING THE BASIC CONCEPTS OF OBJECT-ORIENTED PROGRAMMING
Video-Based Cultural Literacy to Support Intercultural Competence in Japanese Language Classes

Intercultural competence needs to be possessed by students to become part of a global society. In line with that, the need for Japanese language learning that integrates between cultures is getting bigger. Original videos can be one of the sources of cultural literacy to expand intercultural experience and understanding. The objectives of this study are to (1) describe video-based cultural literacy activities by implementing intercultural pedagogic principles and (2) describe students' intercultural competencies, including the components of values, attitudes, and knowledge. The learning procedure is managed by intercultural pedagogic practices, which consist of (1) interaction, (2) paying attention, (3) comparing, (4) reflection, and (5) tentative conclusions. The research methodology used is descriptive qualitative. This study shows that the use of video in Japanese intercultural learning is beneficial as a source of information. Furthermore, implementing pedagogic practices is also helpful in providing clear guidelines for teaching and learning activities. Students' perceptions, as outlined in written sentences, can be known and analyzed based on the components of intercultural competence. Students can expand intercultural knowledge and improve intercultural understanding and competence through the use of video-based cultural literacy by implementing intercultural pedagogic practices&#x0D; Keywords :&#x0D; Jurnal Pendidikan Bahasa Jepang Japanese Education JournalIntercultural CompetenceJapanese LiteratureJapanese Language Education&#x0D;
GLOBAL COMPETENCE AT THE TECHNICAL UNIVERSITY: STAKEHOLDER PERSPECTIVES ON EDUCATIONAL OPPORTUNITIES AND THEIR EFFECTIVENESS

GLOBAL COMPETENCE AT THE TECHNICAL UNIVERSITY: STAKEHOLDER PERSPECTIVES ON EDUCATIONAL OPPORTUNITIES AND THEIR EFFECTIVENESS
SUSTAINABLE DEVELOPMENT GOALS AND DIGITAL COMPETENCE: CONNECTING TWO KEY ELEMENTS OF EDUCATION

Appears in: INTED2023 Proceedings Publication year: 2023Page: 8532 (abstract only)ISBN: 978-84-09-49026-4ISSN: 2340-1079doi: 10.21125/inted.2023.2364Conference name: 17th International Technology, Education and Development ConferenceDates: 6-8 March, 2023Location: Valencia, Spain
HAS INCREASED USE OF DIGITAL APPLICATIONS BOOSTED PRIMARY SCHOOLCHILDREN'S READING COMPREHENSION AND AUTONOMY SKILLS?

HAS INCREASED USE OF DIGITAL APPLICATIONS BOOSTED PRIMARY SCHOOLCHILDREN'S READING COMPREHENSION AND AUTONOMY SKILLS?
INTERVENTION FOR RETENTION: DEVELOPING A SENSE OF BELONGING IN A COURSE COMMUNITY

Appears in: INTED2023 Proceedings Publication year: 2023Page: 2086 (abstract only)ISBN: 978-84-09-49026-4ISSN: 2340-1079doi: 10.21125/inted.2023.0574Conference name: 17th International Technology, Education and Development ConferenceDates: 6-8 March, 2023Location: Valencia, Spain
DEFINITION OF THE SUSTAINABILITY PROFILE OF THE STUDENTS

Appears in: INTED2023 Proceedings Publication year: 2023Pages: 5910-5915ISBN: 978-84-09-49026-4ISSN: 2340-1079doi: 10.21125/inted.2023.1555Conference name: 17th International Technology, Education and Development ConferenceDates: 6-8 March, 2023Location: Valencia, Spain
SOMETICS SOFTWARE: ASSESMENT OF ITS DESIGN, APPLICATION AND PROCESSING

Appears in: INTED2023 Proceedings Publication year: 2023Pages: 2326-2333ISBN: 978-84-09-49026-4ISSN: 2340-1079doi: 10.21125/inted.2023.0645Conference name: 17th International Technology, Education and Development ConferenceDates: 6-8 March, 2023Location: Valencia, Spain
MAIN CONTRIBUTIONS AND CHALLENGES OF THE EDUCATIONAL METAVERSE

Appears in: INTED2023 Proceedings Publication year: 2023Pages: 5942-5951ISBN: 978-84-09-49026-4ISSN: 2340-1079doi: 10.21125/inted.2023.1563Conference name: 17th International Technology, Education and Development ConferenceDates: 6-8 March, 2023Location: Valencia, Spain
INTERACTION OF PHYSICAL EDUCATION AND SPORTS TEACHERS WITH STUDENTS IN A DIGITAL EDUCATIONAL ENVIRONMENT: THEORETICAL BACKGROUND

INTERACTION OF PHYSICAL EDUCATION AND SPORTS TEACHERS WITH STUDENTS IN A DIGITAL EDUCATIONAL ENVIRONMENT: THEORETICAL BACKGROUND