Reviewerly/exHarmony huggingface dataset:
THE PROBLEMS OF DESIGNING: A PSYCHOLOGICAL AND PEDAGOGICAL DISCOURSE

The article analyses theoretically the modern psychological and pedagogical researches on designing. The scientific research on this problem in psychology and pedagogy were systematized and put into the chronological order; the stages of dissemination of the ideas on designing, formation and development of psychological designing / self- designing and pedagogical designing were characterized. The general and specific ideas about these phenomena in each subject area are analyzed; the content and functional attributes of designing and self-designing, the features of psychological and pedagogical designing are defined. The pedagogical designing is specific because of: its focus on the development of innovative pedagogical systems of different scales, the development of educational environment and an educational space, on processes (educational, pedagogical, educational), the content of education and its forms; it basing on the principles of human priorities, self-development of the designed systems, characterized by dynamism, completeness, constructive integrity, and the possibility to be assessed; corresponding documenting with description of the history of creation and operations of designated objects; its research, analytical, prognostic, transformative, constructive functions; its representation with structural and dynamic components - forecasting, modeling, development, implementation, generalization of results. The psychological designing is characterized by the dialectical unity of designing with the aim to create a project for the development of another person (them) and to self-designing, focused on ideal modeling of oneself and one’s own development. Psychological designing is embodied not only in the projects of personality development, but also in narratives, myths, legends about oneself, in personal self-concepts and self-projects. The structural and dynamic components / stages of self-designing are: a proto-project, a landmark project, an event project, a life project, a project to change personal characteristics. The trends in the development of ideas about the content and dynamic patterns of designing as a special human activity are identified. There is a whole range of “measurements” of this phenomenon and its psychological modes in time and space: “individual – social”, “functional – intentional”, “unconscious – conscious” as a basis for multidimensional modeling. The prospects for the further development of designing and designing culture in psychology and education are determined in the direction of designing, reflecting meta-modern trends with the synthesis of designing and self-designing on the psychological and pedagogical planes. &nbsp
The Impact of Meta-Cognitive Writing Strategies Usage on the Writing Performance Among Kazakhstani Secondary School Students

The purpose of the research reported in the article is to assess the effectiveness of the use of meta-cognitive writing strategies in enhancing the writing skills of students of trilingual secondary school. It took place among students of one of the school-gymnasiums in Almaty city, Kazakhstan where schoolchildren showed a low level of academic performance in writing skills and lack of interest and enthusiasm when performing written assignments in English. The action research was used as a design of the study, as it was planned to implement the strategy-based instruction, proposing the development of self-regulation of learning through the use of meta-cognition to assist learners in identifying and using strategies to facilitate foreign language learning. Students were divided into an experimental group, which underwent strategy training, and a control group, which followed the typical English language programme. Strategy use and academic performance in writing in both groups were evaluated through pre- and post-test writing assignments completed on special writing sheets to capture the writing strategies and stimulated interviews immediately following the writing assignments. The results indicated that after the completion of the intervention programme, the experimental group showed significant improvement in strategy use and, as a result, in writing performance. Conclusions of the present study confirm the effectiveness of learning strategies and emphasize the importance of an individual and strategic approach to the selection of suitable writing strategies in terms of content and purpose of the writing assignment.
Theoretical basics of organization of independent work in primary school: a historical aspect

The article covers the problem of updating modern education, in particular the elementary education, on the basis of a competence approach. It substantiates the motivation of the need to form students' ability to think and act independently. A great attention is drawn to the fact that the elementary school should not only provide students with a certain amount of knowledge, but also develop in them the skills of independent learning. The necessity of using students' independent work in the elementary school educational process is noted. It positively influences the quality of mastering their knowledge, the formation of various subject skills, the creation of conditions for students self-realization. It stimulates their cognitive activity, education of diligence and sense of responsibility. In research work, an important place is devoted to the study of works of eminent scientists, concerning the issue of student independent work. In particular, teachers in their research works noted that a person who is not able to learn on his own, but only learns what the teacher gives him, is little to nothing. The article presents the opinions of prominent educators that nowadays teachers are looking for the tools that would help all children to acquire the ability to learn independently and would facilitate their development. The analyzed works make it possible to conclude that the relevance of formation the independence in childrenmeans to develop one of the most important personal qualities.
Design of Locatable Linkage Security System of intelligent Substation

Design a Locatable Linkage Security System of Substation. Laser ranging technology is used to make alarm locator to realize precise location of intrusion point; A precise video linkage scheme is proposed based on SDK of ball machine; Combine alarm positioner, electronic fence, tweeter, searchlight and ball machine into multi-dimensional security system. The actual operation of the system in the substation site provides a new reference scheme for the development of security around the intelligent substation.
Problem of Reading-related Curriculum Education and Reading-oriented Reading Education Measure

본 연구의 목적은 ‘독서’ 중심의 독서교육을 위해 협력독서를 활용한 수업 모형을 개발하는 데 있다. 현재 대학에서 개설되어 운영되고 있는 독서관련 교과는 대부분 발표와 토론을 활용한 말하기와 글쓰기 중심으로 구성되어 있다. 독서활동은 과제로 주어지거나 플립 러닝을 활용한 사전 독서로 대체되고 있는데, 이러한 수업 구성은 독서에 대한 경험이 많지 않은 학생들에게 독서에 대한 어려움과 거부감을 가중시킨다. 이에 본고는 학술적인 텍스트 읽기를 중심으로 독서방법을 제안하였다. 텍스트의 내용을 정확하게 읽는 분석하며 읽기와 저자의 생각을 평가하기 위해 근거의 적절성을 판단하는, 평가하며 읽기로 독서방법을 구체화하였다. 이를 수업에 적용할 때는 음독(音&#35501;)과 윤독(輪&#35501;)을 활용하되 텍스트를 읽은 후에는 동료들과 대화하면서 텍스트의 의미를 찾고, 이를 평가하는 과정을 갖도록 하였다. 이러한 독서방법은 텍스트 읽기의 전 과정을 동료와 함께 하기 때문에 협력독서라고 부를 수 있을 것이다. 본고가 제안한 ‘독서’ 중심의 협력독서 방안은 학생들이 겪고 있는 독서에 대한 고민을 해결하는데 도움을 줄 뿐만 아니라 그간 말하기와 글쓰기 중심의 독서교육을 보완하여 통합적 의사소통교육으로 나아가는데 일조할 수 있을 것이다.This study aimed to develop cooperative “reading-oriented” methods and class models for reading education. Reading activities were either designated as assignments or replaced by pre-readings using flipped learning. The problem, however, is that such class composition adds to the difficulty of reading and leads to rejection from students who do not have much experience with reading. Therefore, this study intends to ease the difficulties of students in reading books by proposing cooperative reading measures with colleagues in reading texts while promoting reading education at the center. In its application to the class, the text was read aloud and in turn with colleagues. Reading aloud can increase concentration on text while reading with colleagues can reduce the rejection of text. The process of collaborative reading, which evaluates the content of a text through dialogue after reading it with colleagues, helps in understanding the content of the text in depth. In addition, students learn how to solve problems through communication. It is expected that this process will solve the difficulty of or reluctance toward reading.
THE PSYCHOLOGICAL FEATURES OF ARCHETYPICAL IMAGES CHANGING DURING STUDENTS-PSYCHOLOGISTS’ PROFESSIONAL FORMATION

The article describes comparison of the components of professional development and archetypal images characteristic for first-, third- and final-academic year students. The main purpose is to present the statistical results of the empirical data and follow the changing of archetypal images at the entering stage, the stage of “mid-training crisis” and at graduation. Methods: the study was conducted at the Kherson State University and V.O. Sukhomlinsky National University in Mykolayiv with the participation of 196 students of different academic years. The selected research methods fully correspond to the study purpose, tasks put forward by the author, and can be processed statistically. The study results are statistically significant; one-way analysis of variance, H-test Kruskal-Wallis and U-test Mann-Whitney were used. The tables of significant indicators were generated by the SPSS program, version 17.0. The obtained results are described qualitatively and analyzed, using other scientists’ results also. The general tendencies characteristic for each groups are described in the conclusions; the specific features of archetypal images of a hero and an antihero are presented for each group; the dynamics of the components of professional development is described. The self-images of the student of different academic years had specific features. The archetype of a hero`s image was the most optimal at the first-year students and included the following characteristics: critical assessment of professional work and oneself as a professional, independence and autonomy in the performance of professional duties. The archetypal image of an antihero was the best formed at graduate students, they had the adequate attitude to negative personal qualities and the ability to use them in a constructive manner. The professional components showed also some dynamics: sensitivity, external positive motivation tend to increase at the third-year students and fall at the graduates; anxiety, self-esteem decreased steadily; lability decreased from the first to the third academic year, increased from the third to the final year, and was the same at&nbsp; the first- and the final- year students. &nbsp
Formation of information competence in future doctors of philosophy

It is defined in the article that the issue of information competence formation is topical given the increasing requirements for information education. It is stated that in the present context the formation of a future Ph.D. as a scientist and academician is impossible without a clear definition of knowledge system, skills, personal qualities and professional competencies among which information competence holds a prominent place. Such basic concepts as "informative competence", "information processing competence", "information retrieval competence", "information and technological competence", "computer competence" etc. have been revealed. It has been determined that it is necessary to understand information competence as a quality of a personality which is a set of knowledge, skills and values-based attitude to the effective carrying out of information activities, in particular the use of new information technologies to solve socially significant tasks that arise in everyday life of a person in the society. We have defined information competence of a Ph. D. as an integrative (complex) quality of a personality that is the ability to navigate the information space, acquire information, operate it and make good use of information and communication technologies in the scientific and teaching activity. It has been established that researchers assign informative, technological and communicative components to the main components of information competence. The educational and professional training program of future Doctors of Philosophy at Nizhyn Mykola Gogol State University has been considered. It includes such cycles of preparation as general, professional, practical and scientific. The importance of each cycle in the process of forming postgraduates` information competence has been outlined.
The Deep Neural Network and Content Transcription-based Speech Recognition Algorithm in Keyword Detection

Abstract Objective: It is hoped that the DNN-Hidden Markov Model (HMM) acoustic model and the long-short-term memory neural network-Hidden Markov (LSTM-HMM) acoustic model can be used to improve the accuracy rate of speech recognition in keyword detection. Method: First, the principles of speech recognition and related algorithms are introduced. Then, a DNN algorithm is applied to the speech recognition system, and a keyword detection system is established based on the DNN-HMM acoustic model. As for the experimental comparison, the proposed DNN model is used for acoustic modeling, and the effect of the DNN algorithm on the performance of the recognition system is analyzed experimentally. Results: The size of the training parameters of the proposed LSTM model is 436570, the size of the training parameters of the deep neural network (DNN) is 698100, and the size of the training parameters of the Gaussian mixture model (GMM) is 1226700. The accuracy of speech recognition based on the LSTM-HMM model and DNN-HMM model is 965% and 91.6%, respectively, which is significantly higher than 78.5% of the traditional speech recognition model (GMM-HMM). Conclusion: The speech recognition technology based on LSTM-HMM and DNN-HMM models has higher accuracy and is more suitable for speech keyword detection.
Secure and Lightweight Encryption Model for IoT Surveillance Camera

We are witnessing the era of Internet of Things (IoT), where its applications such as smart cities and smart homes catch sensitive data gathered mostly by IoT surveillance cameras among other sensors or devices. Therefore, security and privacy protection is a key concern during transmitting such sensitive data across the IoT network to be processed and stored on Cloud. In this paper, we proposed a lightweight encryption model that complies with the limited resources of IoT devices in terms of process and memory. Also, the encryption model also provides a high level of security for the transmitted data through a constant change of the key used for encrypting of transmitted IoT data. In addition, the key size used to encrypt transmitted data in the proposed model is large enough which makes it hard to break by the attackers. The experimental results show outstanding results with an average of 170.7 ms of encryption time for a key size 80 bits where the key size is relatively large and with an average PSNR of 7.7 compared to other algorithms.
Enhanced Combined Inter-Intra Prediction (CIIP) in versatile video coding

Joint Video Experts Team (JVET) is developing a new video coding standard beyond High Efficiency Video Coding (HEVC) named as Versatile Video Coding (VVC). In VVC, various new prediction modes have been adopted compared to HEVC and Combined Inter-Intra Prediction (CIIP) is one of them. CIIP combines inter prediction and intra prediction with derived weights to form a final prediction. In the existing CIIP, the weights are derived from the prediction modes of the two adjacent blocks of left and above for combining the final prediction, and only planar mode is used as the intra prediction mode of CIIP. In this paper, we propose methods to enhance CIIP with more accurate weights for the combination of both predictions as well as extending intra prediction modes to be combined based on the adjacent blocks’ coding modes. According to empirical observations, the below-left block and above-right block are correlated with left and above blocks in terms of prediction mode, respectively. So, the first proposed method is to derive finer weight values by using prediction modes of more adjacent blocks up to 3 blocks of left, above and above-left from the 5 adjacent blocks used for deriving regular merge candidates. The second proposed method is to use intra-coded modes of adjacent blocks of left and above blocks which are used to derive MPM candidates to be combined instead of planar mode used in the current CIIP. Experiment results show that the proposed methods slightly improve the performance of CIIP in the VVC Test Model (VTM).
LibGuides: Library Services During COVID-19: Teaching Online

Updates on resources, services and policies Campus and library resources for faculty moving their courses to a fully online environment.
The Ritva Blockchain: Enabling Confidential Transactions at Scale

The distributed ledger technology has been widely hailed as the break- through technology. It has realised a great number of application scenarios, and improved workflow of many domains. Nonetheless, there remain a few major concerns in adopting and deploying the distributed ledger technology at scale. In this white paper, we tackle two of them, namely the through- put scalability and confidentiality protection for transactions. We learn from the existing body of research, and build a scale-out blockchain plat- form that champions privacy called RVChain. RVChain takes advantage of trusted execution environment to offer confidentiality protection for trans- actions, and scale the throughput of the network in proportion with the number of network participants by supporting parallel shadow chains.
Deep residual convolutional neural network with curriculum learning for source camera identification

Source camera identification is a fundamental area in forensic science, which deals with attributing a photo to the camera device that has captured it. It provides useful information for further forensic analysis, and also in the verification of evidential images involving child pornography cases. Source camera identification is a difficult task, especially in cases involving small-sized query images. Recently, many deep learning-based methods have been developed for camera identification, by learning the camera processing pipeline directly from the images of the camera under consideration. However, most of the proposed methods have considerably good identification accuracy for identifying the camera models, but less accurate results on individual or instance-based source camera identification. In this paper, we propose to train an accurate deep residual convolutional neural network (ResNet), with the use of curriculum learning (CL) and preprocessed noise residues of camera images, so as to suppress contamination of camera fingerprints and extract highly discriminative features for camera identification. The proposed ResNet consists of five convolutional layers and two fully connected layers with residual connections. For the curriculum learning in this paper, we propose a manual and an automatic curriculum learning algorithm. Furthermore, after training the proposed ResNet with CL, the flattened output of the last convolutional layer is extracted to form the deep features, which are then used to learn one-vs-rest linear support vector machines for predicting the camera classes. Experimental results on 10 cameras from the Dresden database show the efficiency and accuracy of the proposed methods, when compared with some existing state-of-the-art methods.
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Comparison of data costs for depth estimation from compressed light field images

High-quality depth estimation from light field (LF) image is an important and challenging task for which many algorithms have been developed so far. While compression is inevitably required in practice for LF data due to its huge data amount, most depth estimation methods have not yet paid sufficient attention to the effect of compression on it. In this paper, we investigate various LF depth estimation methods to design a LF compression method in the context of good depth estimation. By noting that building the data cost is a very first step in most depth estimation algorithms and the data cost computation has a great impact on eventual quality of the depth image, in this paper, we present an in-depth analysis of data cost computation in LF depth estimation problem in the context of compression. Our results show that the data cost building on Epipolar Plane Image (EPI) outperforms other tested methods in this paper and is more robust to compression.
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When we think about data security compliance or classification, theres a strong tendency to think only in technical terms. But, the biggest security ...
A Contrastive Study on the Final Consonants’ Pronunciations of the Korean and Myanmar Languages

In this study, the final consonants’ pronunciations of the Korean and Myanmar Languages were compared and analyzed to order to find commonalities and differences between the basic pronunciations of the two languages. The results of the analysis showed that the Korean language has phonemes similar to Myanmar consonants, but its vowels are not found in Myanmar. The most significant result is the pronunciation method of final consonants. Korean and Myanmar are very similar in consonants and vowels. However, in the final consonants’ pronunciation method, unlike Korean, Myanmar takes a burst when the final consonants are pronounced. Therefore, it was possible to predict the factors that would lead learners to experience difficulties in basic pronunciations, and these elements can be applied to Korean pronunciation education to better teach learners of Korean to pronounce the Korean vowels and final consonants.
PENGARUH PENDEKATAN KONTEKSTUAL (CTL) TERHADAP KEMAMPUAN MENULIS KARANGAN DESKRIPSI SISWA KELAS XI SMAN 1 TELUK KUANTAN KABUPATEN KUANTAN SINGINGI RIAU

The motivated of this research by the lack of description essay writing skills, lack of understranding of the students’ essay description, lack of use of vocabulary, and learning techniques that do not vary. The porpose of this research was to determine the influence of contextual approach (CTL) on writing ability essay description students class XI Senior High School Number 1 Teluk Kuantan, Kuantan Singingi district, Riau. Used theory is a theory about writing by Tarigan and Semi, about essay description by Keraf and Semi, and about learning model (contextual teaching and learning/CTL) by Sanjaya. This research is a quantitative study, the experimental method. Hypothetical testing is done by using the t twith a confidence level α = 0.05 . Obtarned as follows: First, the approach appired CTL as evidence at a significance level 95% obtaired t arithmatic = 12,31, while t table = 2,04 then t arithmatic > t table . Second, learning outcomes at class experimental with higher difference 24,67 then the control class in writing essay description students class XI Senior High School Number 1 Teluk Kuantan, Kuantan Singingi district, Riau. Obtrained is t arithmatic = 8,5210, while t table = 2,002 then t arithmatic > t table . Key words: Essay description, influence of the contextual approach ( CTL )