Reviewerly/exHarmony huggingface dataset:
Design of Clothing with Encrypted Information of Lost Children Information Based on Chaotic System and DNA Theory

Abstract The encryption design is partly based on the fractional chaotic system and DNA theory. First, the dynamic characteristics of the newly proposed fractional Lü chaotic system are analyzed, and based on the analysis, a multi-image encryption algorithm is proposed. That is, the Arnold scrambling algorithm is used to scramble the image matrix, and then the DNA encryption theory is used to diffuse the image matrix. Among them, the scrambling step and the diffusion step are based on the chaotic sequence, and the encrypted image is finally obtained. Finally, the new encryption algorithm is evaluated, and the results show that the key space of the new encryption algorithm is further expanded and is very sensitive to key changes. The algorithm can effectively destroy the correlation of the original image, and can resist various cracking attacks. In summary, the multi-image encryption algorithm proposed in this paper has good encryption performance and provides a theoretical basis for practical applications. By reading those labels, children's identity and other relevant information can be acquired. This method may help police to obtain information on lost children and find their family rapidly.
Project-Organized Program of Pedagogical Profile University Development

The aim of the study is to reveal the general approach and principles to the development of a program for the pedagogical university development, representing a project-organized methodology and technologies for organizational and managerial support of the process of the arrangement of all participants’ content-activity positions in the innovation process associated with improving the system of continuous advanced pedagogical education in accordance with the strategic guidelines for the country development, modern directions of scientific and technological development and taking into account the current research agenda in the field of education. The article presents the methodology and technology for creating the project-organized program for the pedagogical university development as a program of an initiative-problem type. The scientific novelty of the research results is determined by the fact that the notion of “project-organized development program” is introduced into the general theory of management, organizational and managerial methodology of higher education; the essence is revealed and the idea of the notion of “development management” is expanded in relation to the system of higher and additional professional education; the indicators of the organizational effect are also specified in the context of the requirements for continuous teacher education, outlined in the Concept of teacher training for the period up to 2030. As a result, a process technology has been developed for step-by-step programming of socio-cultural and educational changes in the system of continuous advanced education, which is the basis for the scientific and educational activity of the Department of Andragogy and Development Management of the Nizhny Novgorod State Pedagogical University named after Kozma Minin.
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression

Knowledge distillation (KD) has been actively studied for image classification tasks in deep learning, aiming to improve the performance of a student based on the knowledge from a teacher. However, applying KD in image regression with a scalar response variable has been rarely studied, and there exists no KD method applicable to both classification and regression tasks yet. Moreover, existing KD methods often require a practitioner to carefully select or adjust the teacher and student architectures, making these methods less flexible in practice. To address the above problems in a unified way, we propose a comprehensive KD framework based on cGANs, termed cGAN-KD. Fundamentally different from existing KD methods, cGAN-KD distills and transfers knowledge from a teacher model to a student model via cGAN-generated samples. This novel mechanism makes cGAN-KD suitable for both classification and regression tasks, compatible with other KD methods, and insensitive to the teacher and student architectures. An error bound for a student model trained in the cGAN-KD framework is derived in this work, providing a theory for why cGAN-KD is effective as well as guiding the practical implementation of cGAN-KD. Extensive experiments on CIFAR-100 and ImageNet-100 show that we can combine state of the art KD methods with the cGAN-KD framework to yield a new state of the art. Moreover, experiments on Steering Angle and UTKFace demonstrate the effectiveness of cGAN-KD in image regression tasks, where existing KD methods are inapplicable.
Regarding Classification of n-sharing of Multivariate Mappings over Finite Fields and One NSUCrypto'2019 Olympiad Problem

A problem of great importance that arises in designing and implementation of a cryptosystem is countering side channel attacks. Often an appropriate mathematical algorithm, implemented on a specific physical device to work in the physical environment, becomes vulnerable to such attacks. The “function sharing” technique is a prospective and efficient way to avoid this problem. In the paper we investigate “non-complete sharing” of Boolean functions and mappings, and functions and mappings over finite fields and provide a complete description of the set of functions with n variables, which have sharing. The main findings are the following: introducing and investigating a new concept of “weak” non-complete n -sharing, establishing its connection with “weak” and “classical” n- sharing, and substantiating its advantages from the algebraic point-of-view as well as establishing and proving a criterion for the existence of weak non-complete n -sharing for an arbitrary function. The results also include an explicit description of a set of functions which have weak sharing in terms of algebraic normal form, obtaining the precise and simple descriptions for the boundary (“border”) cases: n = 2, n=m and binary fields. Applying these results to the AES S-box allows complete solving the problem, i.e. a complete answer to the question of a representability of the S-box of the AES cipher as a sharing is available. We believe that the same way can be successful for other cryptographic algorithms.
Decentralized Deep Learning with Arbitrary Communication Compression

Decentralized training of deep learning models is a key element for enabling data privacy and on-device learning over networks, as well as for efficient scaling to large compute clusters. As current approaches suffer from limited bandwidth of the network, we propose the use of communication compression in the decentralized training context. We show that Choco-SGD $-$ recently introduced and analyzed for strongly-convex objectives only $-$ converges under arbitrary high compression ratio on general non-convex functions at the rate $O\bigl(1/\sqrt{nT}\bigr)$ where $T$ denotes the number of iterations and $n$ the number of workers. The algorithm achieves linear speedup in the number of workers and supports higher compression than previous state-of-the art methods. We demonstrate the practical performance of the algorithm in two key scenarios: the training of deep learning models (i) over distributed user devices, connected by a social network and (ii) in a datacenter (outperforming all-reduce time-wise).
Homomorphisms Between Transfer, Multi-Task, and Meta-Learning Systems

Transfer learning, multi-task learning, and meta-learning are well-studied topics concerned with the generalization of knowledge across learning tasks and are closely related to general intelligence. But, the formal, general systems differences between them are underexplored in the literature. This lack of systems-level formalism leads to difficulties in coordinating related, inter-disciplinary engineering efforts. This manuscript formalizes transfer learning, multi-task learning, and meta-learning as abstract learning systems, consistent with the formal-minimalist abstract systems theory of Mesarovic and Takahara. Moreover, it uses the presented formalism to relate the three concepts of learning in terms of composition, hierarchy, and structural homomorphism. Findings are readily depicted in terms of input-output systems, highlighting the ease of delineating formal, general systems differences between transfer, multi-task, and meta-learning.
Autoloader: Cargo Handling Software for Navy and Marine Aircraft

Managing cargo loading for U.S. Navy and Marine Corps aircraft is a challenging task, requiring an understanding of elements such as aircraft limitations, aircraft center of gravity, cargo space dimensions, and tie-down procedures to name a few. These loading requirements specified in each aircraft&#x0027;s lengthy Cargo Loading Guide (CLG). To address the problem of efficiently and effectively stowing cargo, the U.S. Navy has proposed the development of an Android app that assists aircrew in completing their loadmaster duties. This paper describes the AutoLoader app, which performs calculations and provides feedback to help achieve efficient and effective cargo loading. Three specific capabilities are highlighted. The first creates 3D models for novel cargo using Augmented Reality. The second allows the user to develop scenarios that include 3D models of aircraft, cargo, and tie-down patterns, and then analyzes the tie-downs according to CLG-defined rules. The third uses genetic algorithms to automatically search for and efficient and effective tie-down patterns for a scenario. The primary contribution of this work is describing how existing tools from augmented reality, computer games, and artificial intelligence are brought together to rapidly prototype an end-to-end solution in this challenging domain.
Educación postpandemia: Desafíos y estrategias para la construcción del futuro

In this paper, the authors will talk about the development of technological platforms and tools that will support the creation and implementation of techno-pedagogical paradigms to tech the XXI Century generations. By proving how the innovative model of the open and distance learning universities (UNAD, for its Spanish acronym) is not run out and can be renewed, taking as an example the COVID-19 pandemic and analyzing the carriers that provide change to a new education, where the need of innovation in higher education in open and distance modalities is an urgent matter. Undoubtedly, learning is one of the human capacities that has most influenced their development and evolution. Thus, the e-education concept is presented as an effort to develop talents and human capacities using the Internet and new information and communication technologies (ICT). This will allow introducing a generalized remote mode, which will create a different culture adjusting the school curriculum to an online strategy, and not a rigid one, that involves technological improvements, so general and specialized knowledge are combined to the needs of scientific, technological, and social development. Teachers work with students differently and provide help through more knowledge and experience. Recent studies are showing that there are more open and online options for teacher professional development and teachers access the Internet to expand their development opportunities through social media platforms. In this sense, the non-attendance process of education has improved its relevance globally. Although, the COVID-19 pandemic caused an accelerator effect on the digital transformation of the educational institutions.
Magnetic Control and Entanglement of Electron Spins with Bunched Electron Beams

We investigate longitudinally structured electron beam interaction with two-level spin quantum systems. Deriving a semi-classical and fully quantum model, we demonstrate entanglement generation of two spins and independent control of system spin and energy states.
USE OF WEB-BASED ENVIRONMENTS IN THE STUDY OF COMPUTER DESIGN BY STUDENTS OF INFORMATIVE HIGH SCHOOL

With the development of modern technologies, computer hardware and various software, there are rapid and high-quality changes in data processing technologies. Web-oriented technologies, which are the advanced technologies of the information society, play the role of a leading tool for informatization of education. The development of software used in the study of computer design. The article substantiates the need to use web-based learning environments in the process of studying computer design by high school students of informative high school. During the study of computer science at school, it is planned to perform educational tasks both in lessons at school and at home. Providing all students with access to unified software is problematic because everyone has different computers, including different operating systems. Starting from March 12, 2020, student learning has been taking place remotely for a long time. Most computer science teachers have faced the problem of how to unify software for mastering educational material in computer science lessons. One way to solve this problem is to use web-based environments. Types of computer design are considered and in accordance with the age characteristics of students and learning objectives selected web-based software which greatly simplifies the organization and implementation of the educational process. When using web-based environments, you do not need additional knowledge to configure them, because the use of such environments is independent of the technical characteristics of the computer, and only requires an Internet connection. Keywords: computerization of education, computer design, computer graphics, web-based environment, information and communication technologies.
SUKA ANGKA: GAME PEMBELAJARAN BERBASIS ANDROID GUNA MENINGKATKAN NUMERASI SISWA DI SEKOLAH DASAR

This study aims to develop an Android-based mathematics learning application for students of SD Negeri 02 Perjaya which is realized through valid, practical, and effective development. The discussion in this research is focused on the validity and practicality of using the application. The research model used is development research by following the development model according to Sugiyono (2011:408) with the following steps: (1) potential and problems, (2) data collection, (3) product design, (4) design validation, (5 ) product design revisions, (6) product trials. While the data analysis technique used is descriptive qualitative data analysis. The results of the study show (1) that a valid mathematical literacy structured learning application has been developed for elementary school students. Validity is compiled based on expert validation which states that the application developed can be applied and is in accordance with reality, namely meeting the valid criteria of content, construct, and language; and received good support and response by students.
Learning Prior Feature and Attention Enhanced Image Inpainting

Many recent inpainting works have achieved impressive results by leveraging Deep Neural Networks (DNNs) to model various prior information for image restoration. Unfortunately, the performance of these methods is largely limited by the representation ability of vanilla Convolutional Neural Networks (CNNs) backbones.On the other hand, Vision Transformers (ViT) with self-supervised pre-training have shown great potential for many visual recognition and object detection tasks. A natural question is whether the inpainting task can be greatly benefited from the ViT backbone? However, it is nontrivial to directly replace the new backbones in inpainting networks, as the inpainting is an inverse problem fundamentally different from the recognition tasks. To this end, this paper incorporates the pre-training based Masked AutoEncoder (MAE) into the inpainting model, which enjoys richer informative priors to enhance the inpainting process. Moreover, we propose to use attention priors from MAE to make the inpainting model learn more long-distance dependencies between masked and unmasked regions. Sufficient ablations have been discussed about the inpainting and the self-supervised pre-training models in this paper. Besides, experiments on both Places2 and FFHQ demonstrate the effectiveness of our proposed model. Codes and pre-trained models are released in https://github.com/ewrfcas/MAE-FAR.
Research on Application of Cloud Computing Based University Education Informationization

With the development of information age and technological means, people’s production and life, way of thinking and working concept are gradually changing. Cloud computing has become one of the hottest topics in the world. Cloud computing based on efficient computing power, scalable storage capacity and high security has become a new favorite in all walks of life. Chinese university information construction should also seize the opportunity to fully combine the advantages of cloud computing technology to strengthen the university campus network construction, enhance the integration of educational resources and promote information sharing. By combining cloud computing technology to expand network cloud service platform, Chinese universities education has greater space for development. Thus, it is an inevitable trend to apply cloud computing technology to Chinese university informationization construction. Based on the above purpose, this paper will start from the technical summary behind cloud computing technology, in-depth analysis and computing technology definition and characteristics. By exploring the application and existing problems of cloud computing technology in university information construction, this paper provides new ideas for university information construction development. This improves the overall development level of education industry, colleges and universities’ social influence and credibility.
Analysis of Intelligent Campus Construction in 2.0 Era of Educational Informatization

The construction of university informatization in China has already entered the 2.0 era. It requires universities to explore a new way of thinking when strengthening campus construction. At present, colleges and universities have found a new construction direction of “smart campus construction”. On the basis of drawing lessons from the construction experience of “smart campus” pilot schools, they are gradually improving the construction method of smart campus. The achievements of some colleges and universities are not ideal. This affects the actual quality of smart campus construction. Therefore, colleges and universities should take educational informationization 2.0 as the basic guidance when embarking on the innovative development path of intelligent education. The bright future of the smart campus construction will be revealed by exploring the smart campus construction methods that meet the requirements of The Times. This provides sufficient practical reference for the innovation and development of intelligent education in colleges and universities.
MOTHER TONGUE-BASED MULTI-LANGUAGE LEARNING IN READING: DEVELOPING PARENT INFORMATIONAL SHEET

Getting data on the mother language for primary students can be challenging in a multilingual setting as Indonesia. There are around 700 spoken languages ​​spoken in Indonesia. It is often challenging to assess a young learner first language directly because of the shortfall of assets accessible in each language. Getting information on every child's mother tongue acquisition is very important for bridging teaching instruction in primary years, as does in reading. This study's objective was to assess the validity and reliability of an adapted parent questionnaire on the first language development of Indonesian learners that is not specific to a particular language or cultural group. This research and development use a 4-D model (define, design, development, disseminate). The defined stage consists of focus group discussion resulting in the need for mother-tongue information to support instruction in reading comprehension. The design stage is the adaptation of the Alberta Language and Development Questionnaire (ALDeQ)'s existing questionnaire leading to the parent information questionnaire design fitted into the Indonesian context. Field tests and data analysis are conducted in the developmental stage. This descriptive quantitative research did not go through the dissemination stage because not being developed wider. The Gregory content validation formula obtained a score of 1, which was categorized as very high, indicating that the instrument is eligible. The Product Moment empirical validity indicates a high validity. Reliability tests using Cronbach's Alpha formula showed a value of 0.86 which means very high.
An Analysis Of Speech Act And Politeness Strategy Used By English Lecturer of Dwijendra University in Online Classroom Interaction

Speech act and politeness strategy are widely known as a part of pragmatics in which certain aims are conveyed beyond the words or phrases when a speaker says something. Both apply as acts that refer to the action performed by the utterances produced during an intercourse. The aims of this study was finding out what types of politeness strategy and speech acts used by English lecturer during online class’s instruction. The subject of this research is an English lecturer at Dwijendra University. The data were collected through two steps; an observation on politeness strategy and speech act used during the online learning and then an interview to verify the observed data. It is a qualitative descriptive study which was conducted in two steps; first step is to observe how English lecturer apply politeness strategies and speech act in online learning. Second, interview is conducted with research subjects to verify the observed data. In addition, there are two theories applied in this research namely Brown &amp; Levinson's theory of politeness strategies and Searle's theory of speech act. The result of the study found out that English Lecturer use four types of politeness strategies during an online learning; bald-on record, positive politeness, negative politeness, and off-record. Besides, five types of speech acts were found to be used by the English lecturer during his online learning; representative, directive, commissive, expressive, and directive. This study also discovered that an English lecturer used more directive speech acts during online learning.&#x0D; &#x0D; Keyword: Online Learning, Politeness Strategy, Speech Act
Uncovering Hidden Meaning in IKEA Advertisement “Home is a Different World”: A Semiotic Analysis

ABSTRACT&#x0D; Advertisement has a function to create brand awareness, products, services and ideas, that can convince customers if the company’s services or products ideas are best to buy. The IKEA advertisement aims to provide information to the people about how to make furniture with good function and design affordable for everyone. Furthermore, this study combines verbal and visual signs to give the advertisement a certain effect. This study is aimed to describe the hidden meaning that can be found in IKEA advertisement “Home is a Different World”. This study uses Semiotics theory by Saussure cited in Chandler (2007) and theory of meaning by Barthes (1967) that is supported by the theory of color terms proposed by Wierzbicka (1996). The data were collected through the observation method. The descriptive qualitative method is used to analyze the data in this study. The study concludes that both verbal and visual signs found in each data carry a hidden meaning. In general, the advertisement conveys the meaning to encourage the audience to promote their product by giving a nice ideas to make a good home design and get better life at home by creating meaningful moments with our family at home.