Reviewerly/exHarmony huggingface dataset:
Adversarial Examples on Segmentation Models Can be Easy to Transfer

Deep neural network-based image classification can be misled by adversarial examples with small and quasi-imperceptible perturbations. Furthermore, the adversarial examples created on one classification model can also fool another different model. The transferability of the adversarial examples has recently attracted a growing interest since it makes black-box attacks on classification models feasible. As an extension of classification, semantic segmentation has also received much attention towards its adversarial robustness. However, the transferability of adversarial examples on segmentation models has not been systematically studied. In this work, we intensively study this topic. First, we explore the overfitting phenomenon of adversarial examples on classification and segmentation models. In contrast to the observation made on classification models that the transferability is limited by overfitting to the source model, we find that the adversarial examples on segmentations do not always overfit the source models. Even when no overfitting is presented, the transferability of adversarial examples is limited. We attribute the limitation to the architectural traits of segmentation models, i.e., multi-scale object recognition. Then, we propose a simple and effective method, dubbed dynamic scaling, to overcome the limitation. The high transferability achieved by our method shows that, in contrast to the observations in previous work, adversarial examples on a segmentation model can be easy to transfer to other segmentation models. Our analysis and proposals are supported by extensive experiments.
Intercultural HMIs in Automotive: Do We Need Them? – An Analysis

The automotive business is a global industry, vehicles are developed globally for a global market. Due to cost, the number of variants limited. This leads to a delicate balance the vehicle industry needs to solve constantly. Users in different cultures have different preferences, experiences, use cases, and contexts of use. Technological standards differ from region to region. Localized user interface solutions are useful to fulfill the different needs. On the other hand, automotive OEMs try to limit the number of vehicle variants to keep cost and complexity of vehicle development and production low. Cars often carry a brand related image; they relate to specific user experiences. For example, Porsche cars are recognized as typical German and carry the respective image.
EVALUATION AND VISUALIZATION OF PETROLEUM PRODUCTION DATA WITH PYTHON

Python is a general purpose and high-level language that is the most popular programming language in now days and it is used for data analytics and data science. Python is an open source and free software to develop the programme language with the most impressive library of machine learning algorithms and artificial intelligence, python has proven as the most useful platform for the highly sophisticated petroleum dataanalytic tools.In this paper we are discussed about how the petroleum data visualizing into the graphs and how the data used in the data analytics and how we import the data from the other sources and converts into the way we want by understanding the code in the easy way and learning some important tools and dictionaries.
Privacy-Aware Rejection Sampling

Differential privacy (DP) offers strong theoretical privacy guarantees, but implementations of DP mechanisms may be vulnerable to side-channel attacks, such as timing attacks. When sampling methods such as MCMC or rejection sampling are used to implement a mechanism, the runtime can leak private information. We characterize the additional privacy cost due to the runtime of a rejection sampler in terms of both $(\epsilon,\delta)$-DP as well as $f$-DP. We also show that unless the acceptance probability is constant across databases, the runtime of a rejection sampler does not satisfy $\epsilon$-DP for any $\epsilon$. We show that there is a similar breakdown in privacy with adaptive rejection samplers. We propose three modifications to the rejection sampling algorithm, with varying assumptions, to protect against timing attacks by making the runtime independent of the data. The modification with the weakest assumptions is an approximate sampler, introducing a small increase in the privacy cost, whereas the other modifications give perfect samplers. We also use our techniques to develop an adaptive rejection sampler for log-H\"{o}lder densities, which also has data-independent runtime. We give several examples of DP mechanisms that fit the assumptions of our methods and can thus be implemented using our samplers.
DEVELOPING ARDUINO LABORATORY INSTRUMENTS AND SMART DEVICES IN A SCHOOL MAKERSPACE

N. Papadimitropoulos, E. PavlatouNational Technical University of Athens, School of Chemical Engineering (GREECE)
Evaluation of Timbre-Based Control of a Parametric Synthesizer

Musical audio synthesis often requires systems-level knowledge and uniquely analytical approaches to music making, thus a number of machine learning systems have been proposed to replace traditional parameter spaces with more intuitive control spaces based on spatial arrangement of sonic qualities.Some prior evaluations of simplified control spaces have shown increased user efficacy via quantitative metrics in sound design tasks, and some indicate that simplification may lower barriers to entry to synthesis.However, the level and nature of the appeal of simplified interfaces to synthesists merits investigation, particularly in relation to the type of task, prior expertise, and aesthetic values.Toward addressing these unknowns, this work investigates user experience in a sample of 20 musicians with varying degrees of synthesis expertise, and uses a one-week, at-home, multi-task evaluation of a novel instrument presenting a simplified mode of control alongside the full parameter space.We find that our participants generally give primacy to parameter space and seek understanding of parameter-sound relationships, yet most do report finding some creative utility in timbre-space control for discovery of sounds, timbral transposition, and expressive modulations of parameters.Although we find some articulations of particular aesthetic values, relationships to user experience remain difficult to characterize generally.
USE OF DIGITAL EDUCATIONAL MATERIALS BY HIGH SCHOOL STUDENTS

Modern teaching of computer science is accomplished through the classical teaching process in which the student, the teacher and the teaching content participate, but in the new age, the fourth element, the media is involved. Teaching should be enriched by the content with text, image, sound, multimedia content and the ability to use them in different places, through various devices and at any time. Therefore, it is necessary to enrich the teaching of computer science with content and use various digital educational materials in order to make the materials more presentable, meaningful, acceptable and interesting for the students. The use of digital educational materials in teaching ensures the achievement of learning outcomes (acquisition of knowledge, skills and habits), combining teaching methods and work systems, and monitoring and evaluating student achievement. Digital educational materials should serve a purpose and be usable (didactically-methodically designed), be used in different places, be consistent with educational outcomes, and serve teachers and students equally in the teaching process.This paper presents the results of a survey conducted on high school students about the usage of digital educational materials in computer science teaching. The primary objective of the research was to examine whether and to what extent students use digital educational materials in subject of computer science, which digital educational materials they would like to use more in the teaching process, and what their views are on the usage of digital educational materials.The research was conducted by using a questionnaire that collected data on the attitudes of 121 students on the usage of digital educational tools in teaching computer science in secondary schools. The paper provides more detailed results that show that students accept the usage of digital educational materials in computer science with some differences considering their gender and educational programme in which they are enrolled.
The State and Development of Geoscience Information Systems in the Ministry of Geology and Mineral Resources of CHINA(MGMR)

Geoscience information system is foundation of geoscience modernization and a very important part of national informatization infrastructure. Development of geoscience information system within MGMR started in the end of 1970’s. During the longer than 20 years, a number of geoscientific databases in various fields are built up; A Computerized Mineral Exploration and Evaluation System(KPX) and Computer Aided Editing and Publishing System for Color Geoscience Maps - MAPCAD are developed in house, and are distributed and used all over the country, not only in MGMR, but in many other ministries. MAPCAD makes the whole procedure of color map publishing, from digitizing, editing, processing, proofing, color separating until output of plate film, be computerized on PC. It has achieved remarkable success in changing traditional working way; MAPGIS, as a general and powerful GIS tool software, also are developed in house and has been released. Several pilot research projects of GIS application with MAPGIS, including mineral resources evaluation, water resources evaluation, geological Hazard, geological cartography, land use and so on, are underway. The paper consists of two parts. Part one is about the state and features of geoscience information systems, part two is development of the systems in the future.
STUDY OF 1ST GRADE PRIMARY STUDENTS’ COGNITIVE DEVELOPMENT WITHIN DYNAMIC MODEL OF TEACHING AND LEARNING IN RICH OF TECHNOLOGIES ENVIRONMENT

Information about the paper titled "STUDY OF 1ST GRADE PRIMARY STUDENTS’ COGNITIVE DEVELOPMENT WITHIN DYNAMIC MODEL OF TEACHING AND LEARNING IN RICH OF TECHNOLOGIES ENVIRONMENT" at IATED Digital Library
Enhanced Image Steganography Technique for Hiding Multiple Images in an Image Using LSB Technique

In this paper present an enhanced design of the image Steganography in which take multiple images that are hiding one by one into the cover image using the LSB technique. Using the LSB technique, first hide the secrete image 1 into the secret image 2 and after that get setgo image 1 that is hide into the cover image using the LSB technique and get the final stego image. The final stego image is shown same as the cover image but it also consist of the stego image 1 and in the stego image 1 consist of the secret image 1 and secret image 2. This method makes hiding or embedding robustness. Secret image 1 hiding with this technique makes difficult to access by the unauthorized user. So it enhanced the security of the hidden images. The security of the hiding is measure in the term of the MSE and PSNR. For better hiding low MSE and High PSNR Value is better. In this work obtained the low MSE and High PSNR value then the previous work done
A Study on 2030 Generation’s Perception of China : Focusing on a Case of Chinese Culture Class

Recently, opinion polls and reports have been pouring in that the anti‐Chinese sentiments of the young generation in their 20s and 30s, often referred to as the ‘MZ generation’, have surpassed an unusual level. Among them, in the space of university, especially outside of major classes related to China, and on the contrary, I often forget that the hatred of the younger generation for China exists in a more explicit and deepened form. How well do the teachers, who are the older generation, understand younger generation of learners’ perceptions of China? This study aims to understand the current state of anti‐Chinese sentiment in the 2030 generation, which is widely spread based on existing media reports, and I would like to think about how to communicate about China with learners in their early 20s in China‐related teachings in the future while hearing their voices about the perception of China of college students whom I met in the actual classroom. The subject class studied in this study is a class called the B which was first opened in the first semester of 2020 at A University in Seoul, and I analyzed the contents conducted from the first semester of 2020 to the first semester of 2021. As the total number of students who took this class over the past three semesters was 149, and 139 of them are first‐year students, through this study, it is judged that it is possible to examine in detail the unrefined perception of China by the group belonging to the youngest age among the 2030 generations just coming out of adolescence.
‘web 2.0’ 플랫폼 기반 중국어 교육 및 학습용 동영상 미디어 콘텐츠 현황 분석 및 그 발전 방향 탐색 — ‘YouTube’를 중심으로 —

This paper discussed the current status analysis and future development direction of video media contents for Chinese education and learning provided on YouTube, the web2.0 platform. In the near future, video-based educational and learning contents are expected to become more popular than text-based educational and learning contents. The development from paper textbooks to digital media textbooks has become a trend that can no longer go against the times. The YouTube video content, which serves as such a textbook, is expected to be produced and provided in more advanced forms in the future. The following are the main discussions discussed in this paper for this reason. First, YouTube is a “Web 2.0” platform that enables interactive communication between producers and users with the keywords “opening,” sharing and participation. Second, YouTube is an optimized platform for the use of video content, and its utilization as an information search engine is also high. Also, the video content currently available on YouTube plays the role of an online teacher called ‘Mr. You.’ Third, most of the Chinese-related video media on YouTube are entertainment-style content that causes interest and fun, and only a small number of educational and learning video content. Fourth, among the Chinese education and learning video media provided on YouTube, contents such as “Chinese pronunciation, vocabulary, grammar, and conversation” can be largely divided into lecture-style videos and entertainment videos, most of which are lecture-style videos. Fifth, video content on YouTube is highly likely to develop into interactive media content that is interactive between producers and consumers. Sixth, video media content related to Chinese language, including Chinese language education and learning purposes on YouTube, is likely to be created in the form of interactive ‘interactive web documentaries’, and it seems certain that such video content will become mainstream in the near future. The above content discussed in this paper is the result of analyzing and exploring the representative platform of ‘Web 2.0’ with YouTube. It is highly likely that video media content from other ‘Web 2.0’ platforms will evolve into this direction. One unfortunate thing about this debate was that we only presented the direction that Chinese educational and learning video content would develop into an interactive web documentary format in the future, but failed to discuss how to produce such content and what content to contain. Based on this discussion, we will continue to discuss how to produce and use video media contents in the form of interactive web documentaries for Chinese education and learning.
유아교사의 교수효능감이 유아의 또래 놀이 상호작용에 미치는 영향: 교사-유아 상호작용의 매개효과

Objectives: This study aimed to examine the effects of teaching efficacy of early childhood teachers on the peer play interactions of young children, and verify the mediating effects of teacher-child interactions on this relation. Methods: The study participants were 403 six-year-old children and 403 teachers in charge of young children in daycare centers in the 7th-year data of the Panel Study of Korea Children (PSKC). This study conducted descriptive statistics and correlation analysis using SPSS 25.0 for data analysis, and verified the mediating effects by using SPSS PROCESS macro. Results: Teacher-child interactions completely mediated the relationship between the teaching efficacy of early childhood teachers and the play disconnection of young children. Conclusion: The results of this study suggest the necessity of experiences that could connect the continuous provision of opportunities to support the interaction of early childhood teachers. This is achieved through the education of teachers, the early childhood teachers’ active attempts of efficient interactions with young children, and the peer play interaction of young children. Especially, this emphasizes the role of early childhood teachers as an interactor who leads young children by instructing and scaffolding their play. However, this study verified that within the play-centered curriculum, the roles of teachers should be as a peer who learns with children, a play medium of daily life, and a play leader with young children as a play peer, which is more important.
Medical Visual Question Answering: A Survey

Medical Visual Question Answering~(VQA) is a combination of medical artificial intelligence and popular VQA challenges. Given a medical image and a clinically relevant question in natural language, the medical VQA system is expected to predict a plausible and convincing answer. Although the general-domain VQA has been extensively studied, the medical VQA still needs specific investigation and exploration due to its task features. In the first part of this survey, we collect and discuss the publicly available medical VQA datasets up-to-date about the data source, data quantity, and task feature. In the second part, we review the approaches used in medical VQA tasks. We summarize and discuss their techniques, innovations, and potential improvements. In the last part, we analyze some medical-specific challenges for the field and discuss future research directions. Our goal is to provide comprehensive and helpful information for researchers interested in the medical visual question answering field and encourage them to conduct further research in this field.
SHORT SURVEY ON OPEN SOURCE MATHEMATICAL SOFTWARE USEFUL IN TEACHING APPLIED MATHEMATICS

Modern applied mathematics education should cover practical problems solving and preferably also the skills to use software to solve real world problems. There have been many rather high quality mathematical software tools available for a long time. The paper provides a short survey on open source mathematical software useful in teaching applied mathematics. Free open source software can by used by the students free of charge and moreover, the students may continue using the software they have become familiar with during their studies even after completing their studies, still free of charge, The open source software tools considered in this paper include R statistical software, python and go language. Statistical evaluation of a short sample survey on prior experience with particular mathematical software of the students entering a course in applied mathematics and data analysis is reported. The software discussed in the paper is briefly introduced and a small case study in linear algebra is shown. It is possible to use some of the tools very easily just with web browser when choosing to use the software online, which may be useful especially when switching to distance learning.
THE MISSING LINKAGES BETWEEN EDUCATION AND ECONOMIC GROWTH IN SUB SAHARAN AFRICAN COUNTRIES: A HUMAN CAPITAL THEORY PERSPECTIVES

Why billions of dollars spent annually on education in developing countries appear to have so little impact on the economic growth within these countries? Why are increases in education not reflected in economic development within these countries? These central questions frame the missing linkages between education, human capital, and economic growth addressed in this paper. Education is expected to increase the productivity of a nation. Thus education is desirable for the contribution it makes to the quality of life for people through increased economic growth. As such, each nation invested in education hoping to achieve economic growth. In this paper, panel data summary analysis of secondary data was conducted to establish trends of education and economic growth of 37 Saharan African countries from the year 2000- 2018 based on their income levels. The findings of the study showed that within-country specific variations over time explain the differences between education and economic growth in low-income, middle income and upper-middle-income countries in Sub-Sahara African countries. It is concluded that the human capital approach should be adopted to address the observed trend of missing linkage between education and economic growth. Possible human capital approaches for strengthening linkages between education and economic growth were drawn.
PLATFORMS FOR MOBILE APPLICATION DEVELOPMENT FOR EDUCATIONAL PURPOSES

Appears in: ICERI2021 Proceedings Publication year: 2021Pages: 9881-9889ISBN: 978-84-09-34549-6ISSN: 2340-1095doi: 10.21125/iceri.2021.2333Conference name: 14th annual International Conference of Education, Research and InnovationDates: 8-9 November, 2021Location: Online Conference
High robustness quantum walk search algorithm with qudit Householder traversing coin, machine learning study

In this work the quantum random walk search algorithm with walk coin constructed by generalized Householder reflection and phase multiplier has been studied. The coin register is one qudit with arbitrary dimension. Monte Carlo simulations, in combination with supervised machine learning, are used to find walk coins making the quantum algorithm more robust to deviations in the coin's parameters. By applying deep neural network we make prediction for the parameters of an optimal coin with arbitrary size and estimate the stability for such coin.
Enhancing the Accuracy of Health Care Internet of Medical Things in Real Time using CNNets

This paper presents an efficient system using a deep learning algorithm that recognizes daily activities and investigates the worst falling cases to save elders during daily life. This system is a physical activity recognition system based on the Internet of Medical Things (IoMT) and uses convolutional neural networks (CNNets) that learn features and classifiers automatically. The test data include the elderly who live alone. The performance of CNNets is compared against that of state-of-the-art methods, such as activity windowing, fixed sample windowing, time-weighted windowing, mutual information windowing, dynamic windowing, fixed time windowing, sequence prediction algorithm, and conditional random fields. The results indicate that CNNets are competitive with state-of-the-art methods, exhibiting enhanced IoMT accuracy of 98.37%, which is the highest among the proposed solutions using the same dataset.
Using open access digital archive in scientific libraries

For many years, the open access digital archives have been operating in majority of foreign universities. As a rule, the university library maintains and supports the digital archive. Unfortunately, this practice has stagnated in Russia. What does impede the progress and which advantages can digital archives offer to research libraries? The author attempts to review practical difficulties of digital archive acquisition as well as advantages to the libraries. The solution may be found in balancing the difficulties to be overcome and the spectrum of possibilities the libraries would get with the open access digital archive.