Reviewerly/exHarmony huggingface dataset:
A Server-Based Distributed Storage Using Secret Sharing with AES-256 for Lightweight Safety Restoration

Since the owner's data might be leaked from the centralized server storage, the distributed storage schemes with the server storage have been investigated. To ensure the owner's data in those schemes, they use Reed Solomon code. However, those schemes occur the burden of data capacity since the parity data are increased by how much the disconnected data can be restored. Moreover, the calculation time for the restoration will be higher since many parity data are needed to restore the disconnected data. In order to reduce the burden of data capacity and the calculation time, we proposed the server-based distributed storage using Secret Sharing with AES-256 for lightweight safety restoration. Although we use Secret Sharing, the owner's data will be safely kept in the distributed storage since all of the divided data are divided into two pieces with the AES-256 and stored in the peer storage and the server storage. Even though the server storage keeps the divided data, the server and the peer storages might know the pair of divided data via Secret Sharing, the owner's data are secure in the proposed scheme from the inner attack of Secret Sharing. Furthermore, the owner's data can be restored by a few parity data. The evaluations show that our proposed scheme is improved for lightweight, stability, and safety.
Querying Rich Ontologies by Exploiting the Structure of Data

Abstract Ontology-based data access (OBDA) has emerged as a paradigm for accessing heterogeneous and incomplete data sources. A fundamental reasoning service in OBDA, the ontology mediated query (OMQ) answering has received much attention from the research community. However, there exists a disparity in research carried for OMQ algorithms for lightweight DLs which have found their way into practical implementations, and algorithms for expressive DLs for which the work has had mainly theoretical oriented goals. In the dissertation, a technique that leverages the structural properties of data to help alleviate the problems that typically arise when answering the queries in expressive settings is developed. In this paper, a brief summary of the technique along with the different algorithms developed for OMQ for expressive DLs is given.
Designing the content of the educational institution information and consulting environment

In article the definition of the educational institution information and consulting environment has been formulated. Based on the semantic analysis of the constituting categories, it was found the such environment is a relevant part of the information education society, within which it becomes possible to exchange information and consultative support of subjects of the educational process and other stakeholders by means of computer focused technologies. Such an environment is educational, informational, communicatively focused, professionally oriented, developmental, reflexive-contextual, and reflexive-active environment of innovative promotion. The semantic and functional content of the educational institution information and consulting environment have been specified. The components of the information and consulting environment, inextricably linked with the person as a subject of an educational process, have been analyzed. To list of them has been included following: social component that provides satisfaction and development the needs of subjects of educational process advisory assistance of the learning and teaching; spatial-objective one which determines the environmental design; psychological and pedagogical one covering pedagogical and methodological support for the implementation of the goals of the environment. These include: computer-based pedagogical technologies and technologies that provide the appropriate level of advisory services. The pattern of the educational institution information and consulting environment covering organizational, technical methodical resource areas have been established. The benefits and risks of the educational institution information and consulting environment have been reviewed and analyzed. It is substantiated that if a such environment is correctly organized it be possible the implementation of information, consulting, diagnostic, interactive, coordinating, professional and developmental functions and the function of pedagogical and educational support. It is concluded that the organization of information and consulting environment of the educational institution will help increase the efficiency of the educational process and the quality of educational services.
Cryptanalysis of FlexAEAD

This paper analyzes the internal keyed permutation of FlexAEAD which is a round-1 candidate of the NIST LightWeight Cryptography Competition. In our analysis, we report an iterated truncated differential leveraging on a particular property of the AES S-box that becomes useful due to the particular nature of the diffusion layer of the round function. The differential holds with a low probability of $$2^{-7}$$ for one round which allows it to penetrate the same number of rounds as claimed by the designers, but with a much lower complexity. Moreover, it can be easily extended to a key-recovery attack at a little extra cost. We further report a Super-Sbox construction in the internal permutation, which is exploited using the Yoyo game to devise a 6-round deterministic distinguisher and a 7-round key recovery attack for the 128-bit internal permutation. Similar attacks can be mounted for the 64-bit and 256-bit variants. All these attacks outperform the existing results of the designers as well as other third-party results. The iterated truncated differentials can be tweaked to mount forgery attacks similar to the ones given by Eichlseder $$et$$ $$al.$$ Success probabilities of all the reported distinguishing attacks are shown to be high. All practical attacks have been experimentally verified. To the best of our knowledge, this work reports the first key-recovery attack on the internal keyed permutation of FlexAEAD.
IOTA: a 1.7‐TOP/J inference processor for binary convolutional neural networks with 4.7 K LUTs in a tiny FPGA

This Letter presents an efficient inference processor for binary convolutional neural networks in an FPGA that has tight limitation of the available hardware resources. The proposed processor, named inference processor in a tiny FPGA (IOTA), incorporates the dual block-processing cores, which process each constituent block of a network cooperatively skipping redundant operations. Implemented in Intel®MAX®10, IOTA achieves the energy efficiency of 1.7 TOP/J with the resource usage of just 4.7 K lookup table (LUT) and 384Kbit BRAMs, where a single binary operation has been counted by 1 OP. A fully-integrated inference system has been developed to demonstrate the functionality of IOTA. It can infer the classes of 172.85 images per joule for the CIFAR-10 classification task.
[Paper] Lossless Color Image Coding Based on Probability Model Optimization Utilizing Example Search and Adaptive Prediction

We previously proposed a novel lossless coding method that utilizes example search and adaptive prediction within a framework of probability model optimization for gray-scale images.In this paper, we extend the method for RGB 4:4:4 formatted color images.In the proposed method, multiple examples are collected from the causal area in not only the same color signal to be encoded but also other color signals as far as they have already been encoded.Moreover, multiple affine predictors trained on a pel-by-pel basis are also utilized to exploit intra-and inter-color correlations.The probability distribution of the color signal at each pel is dynamically modeled by using both examples and predictors.Then a few parameters used in the probability model are numerically optimized for efficient entropy coding.The experimental resultsshow that the proposed method achieves better coding performance than other state-of-the-art lossless coding methods.
Research on the security Oblivious Transfer protocol based on ECDDH

Abstract A new type of Oblivious Transfer protocol is designed under the assumption of ECDDH. The protocol can be safely implemented under a malicious model, 1 of which are selected in N input values. The RAND function is defined under this assumption, and the security definition is given. Then, the security interaction mode of the sender and receiver is constructed. Finally, the correctness of the Protocol is analyzed and the security proof is given. The protocol has the interaction complexity of the constant number level, and the computational and communication complexity is only related to n linearity.
Religious and scientific traditions in interpretation and "reading" of modern and canonical language of pedagogical text

This article is aimed at identifying the possibility to solve the problem of adequate decoding of the pedagogy language in the format of correlation of religious and logical-and-semantic scientific traditions, which reveals a) similarity of scientific and religious interpretation of texts, on the basis of which pedagogy could adopt the experience of religious interpretative tradition; b) difference between these two types of interpretation, which can be the basis for their correct demarcation in the linguistic and cultural humanitarian field.The study of the problems mentioned has shown that there is a similarity between the classical scholarly humanitarian tradition of interpretation of texts and the religious tradition, which is reflected in the importance of the subject's appeal to the original or secondary text as an object of the cultural field and an intellectual phenomenon, archiving the findings of science or religious conceptualism.The similarity between the scientific and religious traditions of interpretation mentioned above refers to such forms of content interpretation as a) decoding and presentation of the semantics and stylistics of the text to the recipient's mind through a number of images and symbols that are clear to the recipient; b) decoding the essence of the metaphors, synecdoche, periphrasis and metonymy used by the author.The latter can be designated as a segment of experience, appropriate for adoption by scientific pedagogy from religious tradition.
FORMATION OF READINESS OF FUTURE TEACHERS FOR THE ORGANIZATION OF PARTNERSHIP INTERACTION BETWEEN PARTICIPANTS OF THE EDUCATIONAL PROCESS

In the article the peculiarities of forming of future teachers’ readiness for the organization of pedagogical partnership in pre-school educational establishments and elementary schools are revealed. Psychological and pedagogical researches concerning scientific interpretations of the concept of readiness in future teachers for professional activity are analyzed. The basic technologies and methods, which are used to form readiness of future teachers to organize pedagogical partnership in the teaching of pedagogical disciplines, are explained. The features of application of different technologies (situational modeling, dialog, personal oriented, communicative) and methods (research tasks, thematic projects aimed at solving educational problems on different sociocultural topics (problems), which have shown their effectiveness in forming readiness to form readiness, are characterized to a pedagogical partnership. In the course of studying the content module «Pedagogical Partnership» of the integrated course «Pedagogy» for students of 1–2 year of specialty «Preschool education» and discipline «Didactics of elementary school» for students of 1–3 course of specialty «Elementary education», that the pedagogical partnership not only contributes to the creation of an effective educational space for preschool education and general secondary education, while ensuring unity in the education and training of preschool and primary school children, but also psychologists but comfortable conditions for each participant of the educational process is an important mechanism for quality assurance. Based on the results of the study, the essence of the concept of «future teachers’ readiness for the organization of pedagogical partnership in educational institutions» is defined as an integral formation, which includes the ability to communicate with the participants of the educational process, willingness to interact, design a model of optimal behavior in different situations and situations as subjects of educational activity, and various social institutions for the sake of full, comfortable stay of the child in educational essays.
Fulfilment of personal potential by high school graduates in time of career choice

The paper presents results of the desktop analysis on the current status of the problem of the personal potential in terms of psychology. It provides the author's understanding of the term as the formation consistent and structured in its psychological aspect. This is the analysis of the characteristics that the career choice has and the difficulties that the graduates face in this process. We believe that substantial resources for the independent and responsible career choice are inherent in the personal potential. According to the research methods, the structure of the personal potential includes intra and interpsychological characteristics. Internal factors relate to the non-acceptance of the choice situation, the lack of skills that are necessary for subjective construction of its process. They also come from hesitation, lack of confidence, poor self-concept, internal conflicts, low community commitment, etc. In most cases, the powerful influence of relevant adults is an external obstacle. The data obtained justify a need in psychological and education counseling to develop the personal potential of graduates. In this regard, one of the main tasks is to provide graduates with competent and comprehensive support to overcome difficulties in the process of making the career choice and personal potential development. &#x0D; Keywords: personal potential, career choice, personâ€™s social resources, individual opportunities, commitment of graduates, self-control resources;
Teaching of the Educational Robotics in Ukrainian Schools: the Ways of Implementation

The paper is considered of the issues of determining the ways of implementation of the educational robotics in Ukrainian schools.The present research describes of the educational robotics as a powerful tool for STEM education; its interdisciplinary links, including STEM subjects, have been analyzed.Analysis of the current state of robotics development as an applied field has shown its intensive development.As a consequence, there is an increasing demand for specialists in the robotics industry, as there is already an urgent need for specialists to plan, design and programming robots.Also, it is revealed of the increasing of the robotics popularity as an educational trend in Ukraine and in the world.Such basic methods were used in present research as analysis of the development state of the educational robotics in Ukraine, searching of relevant data for determining of learning process of the secondary education institutions, etc.During the current work it was found out that one of the ways to increase of the competitiveness of our country, in particular in the IT industry, is to implement into the school curriculum of the subjects related to modern ICTs, in particular educational robotics.An analysis of the interdisciplinary links of the educational robotics has shown that it is an interdisciplinary subject, which is at the intersection a lot of the natural science and technical fields.In particular, teaching of the educational robotics enables to the students to solve real life problems that require of the knowledge of STEM subjects.These considerations also confirm of the timeliness and relevance of the separation of robotics into a separate area and the implementation into the learning process of Ukrainian schools of the separate school subject -the school course of the robotics -in the future.The authors propose the 5 main directions of implementation of the educational robotics in the learning process at schools, which can be further defined as modules of the future school course of the robotics.Such steps will allow to prepare quickly and qualitatively of the children for the modern conditions of intensive IT development, which, in turn, will enable them to become competitive specialists in the IT industry in the future.
Analisis Metode Montessori dalam Meningkatkan Kemampuan Membaca Permulaan Siswa Kelas Rendah SD/MI

Reading is the highest function that comes from the human brain. Reading as a basic foundation in academic ability. Therefore the introduction of the letter 'reading' as a first step to teach children / students in knowing, understanding, and inferring the meaning of reading. The purpose of this study provides a new concept of the montessori method in reading the beginning of children / students in Indonesian language lessons in low grades. This library research will explain validly and objectively about the related analysis. The research relies on sources from various established bibliographies such as scientific articles, theses and books. Then integrated into the substance of research or content analysis. The results of this study are: (1) providing a new pattern in stimulating understanding in reading the beginning of children/ students, (2) providing concepts in strengthening the absorption reading the beginning of children/students, (3) meeting the needs in the period sensitive and intellectual structure in learning to read the beginning of children/ students, (4) Development of new materials on the montessori method in concrete Indonesian language learning to improve the ability to read the beginning of children/students.
Response by the Montreal AI Ethics Institute to the Santa Clara Principles on Transparency and Accountability in Online Content Moderation

In April 2020, the Electronic Frontier Foundation (EFF) publicly called for comments on expanding and improving the Santa Clara Principles on Transparency and Accountability (SCP), originally published in May 2018. The Montreal AI Ethics Institute (MAIEI) responded to this call by drafting a set of recommendations based on insights and analysis by the MAIEI staff and supplemented by workshop contributions from the AI Ethics community convened during two online public consultation workshops. In its submission, MAIEI provides 12 overarching recommendations for the SCP, these include: 1) ensure there is more diversity in the content moderation process; 2) increase transparency into how platforms guide content-ranking; 3) disclose anonymized data on the training and/or cultural background of the content moderators for a platform; 4) tailor content moderation tools for specific issues; 5) draft specific guidelines for messaging applications with regards to data protection in content moderation; 6) take into account cultural differences relevant to what constitutes acceptable behavior online; 7) ensure platforms are transparent in regards to political advertising; 8) ensure greater transparency into the user-generated flagging/reporting systems deployed by a platform; 9) clarify if user content is flagged or reported through an automated system; 10) provide more data on the types of content removed from platforms; 11) provide clear guidelines on the appeal process, as well as data on prior appeals; 12) create a system for periodically revisiting the SCP so it reflects various technological advancements, modifications in law and policy, as well as changing trends or movements in content moderation.
World Knowledge Representation

Abstract World knowledge representation aims to represent entities and relations in the knowledge graph in low-dimensional semantic space, which have been widely used in large knowledge-driven tasks. In this chapter, we first introduce the concept of the knowledge graph. Next, we introduce the motivations and give an overview of the existing approaches for knowledge graph representation. Further, we discuss several advanced approaches that aim to deal with the current challenges of knowledge graph representation. We also review the real-world applications of knowledge graph representation, such as language modeling, question answering, information retrieval, and recommender systems.
Descentrar la educación e investigación: una urgencia en tiempos de pandemia

.
A Learning-Based EM Clustering for Circular Data with Unknown Number of Clusters

Clustering is a method for analyzing grouped data. Circular data were well used in various applications, such as wind directions, departure directions of migrating birds or animals, etc. The expectation &amp; maximization (EM) algorithm on mixtures of von Mises distributions is popularly used for clustering circular data. In general, the EM algorithm is sensitive to initials and not robust to outliers in which it is also necessary to give a number of clusters a priori. In this paper, we consider a learning-based schema for EM, and then propose a learning-based EM algorithm on mixtures of von Mises distributions for clustering grouped circular data. The proposed clustering method is without any initial and robust to outliers with automatically finding the number of clusters. Some numerical and real data sets are used to compare the proposed algorithm with existing methods. Experimental results and comparisons actually demonstrate these good aspects of effectiveness and superiority of the proposed learning-based EM algorithm.
Is Robustness To Transformations Driven by Invariant Neural Representations

Deep Convolutional Neural Networks (DCNNs) have demonstrated impressive robustness to recognize objects under transformations (e.g. blur or noise) when these transformations are included in the training set. A hypothesis to explain such robustness is that DCNNs develop invariant neural representations that remain unaltered when the image is transformed. Yet, to what extent this hypothesis holds true is an outstanding question, as including transformations in the training set could lead to properties different from invariance, e.g. parts of the network could be specialized to recognize either transformed or non-transformed images. In this paper, we analyze the conditions under which invariance emerges. To do so, we leverage that invariant representations facilitate robustness to transformations for object categories that are not seen transformed during training. Our results with state-of-the-art DCNNs indicate that invariant representations strengthen as the number of transformed categories in the training set is increased. This is much more prominent with local transformations such as blurring and high-pass filtering, compared to geometric transformations such as rotation and thinning, that entail changes in the spatial arrangement of the object. Our results contribute to a better understanding of invariant representations in deep learning, and the conditions under which invariance spontaneously emerges.