Reviewerly/exHarmony huggingface dataset:
FORMING STUDENT’S DIGITAL COMPETENCY IN THE INTERACTIVE ENVIRONMENT

The study focuses on the research of the digital competence of students in an interactive environment. The concept of public policy implementation in the field of reforming general secondary education regards information and communication technologies (ICT) in the educational process as a «tool for success» of the New Ukrainian School (NUS). Problems, status and directions of development of information technologies, possibilities of their application in the education system, development and formation of information competences are widely discussed in the scientific community. The ideas of the competence approach in education were considered by: V. I. Bidenko, G. Weiler, V. K. Zagvozdkin, J. Raven, A. V. Khutorsky and others; integration of the concept of «information competence» in the educational process was studied by A. F. Akhmerova, N.V. Bagramova, A.I. Mishchenko. Various aspects of personality development in the conditions of informatization were reflected in the works of N.V. Gafurova, M.P. Spodarets, I.V. Robert. The analysis of the studies showed that theoretical prerequisites for informatization of education and development of information competence using different pedagogical conditions have been established, but the lack of research examining the formation of students’ digital competence in an interactive environment is emphasized. This research is devoted to this problem. The purpose of the study is to highlight the main problems of digital competence development of students’ competence in the interactive environment. The article also defines the essence and structure of the concept of information competence as an integrative quality of the individual, describes its components and the possibilities of the interactive environment. The methodological basis of the study was a systematic approach that considers competence as a set of structural components an activity approach aimed at the use of modern methods and technologies; a competence approach that ensures the development of information competence in an educational process based on an interactive environment. It has been found that an interactive environment is required to build digital competence as an educational output. The main feature of online learning is the use of students’ own experience in solving problematic issues, with maximum freedom of thought. The interactive environment should be based on certain didactic features of the organization of the learning process, which are implemented in the conditions of interaction with the electronic information and educational environment. Contemporary means of digital competence formation can be different content (e-courses, simulators, teacher-student interaction tools, distance learning systems, etc.). The building of the digital competence is made through a combination of digital tools and interactive learning.
View Synthesis Method with Partitioned Image for Angular Super-Resolution

Recently, with the development of deep learning technology, various view synthesis techniques based on deep learning have been proposed. However, as network performance improves and becomes more complex, the memory shortages occur when processing high-resolution images. In this paper, we propose view synthesis method with partitioned image for angular super-resolution. Our method synthesizes high resolution images using limited memory. The proposed algorithm deals with efficient image compositing methods according to various image partition methods, and the experimental results show which method has better performance.
Unsupervised deep hashing by joint optimization for pulmonary nodule image retrieval

In recent years, hash-based image retrieval has attracted great attention due to the rapid growth of medical images. In the paper, an end-to-end unsupervised deep hashing is proposed, where feature extraction and binary optimization are carried out by joint optimization. Our method consists of five components: a shared deep convolution neural network for learning image representations, a deconvolution module for reconstructing the original images, a classification module for leveraging semantic supervision by pseudo labels, a binary code learning module for encoding images features into binary codes, and a joint loss function for deep hash function learning. In addition, the real-valued features balanced in different dimensions by a rotation matrix are quantized directly into discrete binary codes in an alternating optimization approach to minimize the quantization loss. Experiments have been performed on the pulmonary nodule images dataset and the results demonstrate the proposed method can yield better retrieval performance by comparing with the state-of-the-art unsupervised hashing methods.
Sistemas e processos de organização do conhecimento: uma análise conceitual da literatura brasileira de ciencia da informação

espanolEn la terminologia de la interseccion entre las Ciencias de la Informacion y la Organizacion del Conocimiento, algunos terminos han ganado im-portancia sin que sus ambitos sean lo suficiente-mente claros. Teniendo en cuenta este marco, establecimos como objetivos analizar y sistemati-zar el uso de los terminos “sistemas de organiza-cion del conocimiento” (KOS) y “procesos de orga-nizacion del conocimiento” (KOP) en las revistas brasilenas de Ciencias de la Informacion. Para ello, utilizamos la me-todologia de analisis de contenido y utilizamos como corpus un conjunto de articulos publicados en revistas brasilenas clasificadas con “Qualis / Periodicos” “A1” o “A2” que discute los terminos KOS y KOP. Los conceptos de analisis se discutieron a partir de las siguientes categorias definidas a posteriori: comparacion con otros ins-trumentos, tipologias, bases teoricas y aplicacio-nes y usos. Se verifico que todavia no hay con-senso sobre el alcance del concepto KOS y que la expresion KOP aun no se utiliza ampliamente en la literatura brasilena. Las tipologias aun no estan declaradas formalmente. El tesauro, los sistemas de clasificacion y las ontologias se indican como los tipos mas comunes de KOS; y como tipos comunes de KOP la clasificacion y la indizacion, todos orientados a la organizacion, representacion y recuperacion de informacion. Como desafio para trabajos futuros, creemos que es posible enriquecer el analisis conceptual mediante la aplicacion del eje onomasiologico. EnglishIn the terminology interface between Library and Information Science and Knowledge Organization, some terms have gained prominence without their scopes being however sufficiently clear. Considering this framework, we established as objectives to map and systematize the use of the terms knowledge organization systems (KOS) and knowledge organization processes (KOP) in Brazilian journals of Library and Information Science. To do so, we used the methodology of content analysis and used as corpus a set of papers published in Brazilian journals classified with “Qualis/Periodicos” “A1” or “A2” that discusses the terms KOS and KOP. The concepts under analysis were discussed based on the following categories defined a posteriori: comparison with other instruments, typologies, theoretical bases, and applications and uses. It was verified that there is still no consensus on the scope of the concept KOS; and that the expression KOP is not yet widely used in the Brazilian literature. The typologies are not yet formally stated. Thesaurus, classification systems, and ontologies are indicated as more common types of KOS, and as common types of KOP classification and indexing, all oriented towards information organization, representation, and retrieval. As a challenge for future works, we think it's possible to enrich the conceptual analysis by the application of onomasiology axis
Western Ukrainian books of 1914–1939 in Canadian libraries: Online catalogues and published sources

Ukrainians are the eleventh largest ethnic group in Canada. Ukrainian books are important for the development of the Ukrainian diaspora, as well as for preserving and advancing the Ukrainian national culture, traditions, and language in Canada. The article analyzes the research of local and foreign scientists on this topic and provides insights into the presence of the Western Ukrainian books in Canadian libraries and in Canadian public and governmental institutions. The article investigates the details of the creation of the libraries where the researched publications are stored. The author has classified Canadian book collections that hold Ukrainian publications: scientific libraries at universities and other higher education institutions; archival institutions; Ukrainian community organizations; religious institutions; public libraries with Ukrainian collections; private Ukrainian libraries. This paper highlights the role of prominent figures of the Ukrainian diaspora in stocking Canadian libraries with Ukrainian books. We have examined how Western Ukrainian books of 1914–1939 made their way to Canadian libraries. An analysis of the catalogues of the Ukrainian bookstores in Canada has been conducted. Rare copies of these catalogues are in the holdings of the Vasyl Stefanyk National Scientific Library of Ukraine in Lviv. The article highlights the role of the Internet sources in determining the availability of Western Ukrainian books in Canadian libraries. Most of these libraries have online catalogues. The prospects of using electronic library resources and digital editions to conduct research in the field of Ukrainian book bibliography are outlined. The presence of the Ukrainian books of 1914–1939 in Canadian libraries is recorded in the bibliographic index «Ukrainian book in Galicia, Bukovina, Transcarpathia, Volyn and in emigration, 1914–1939» compiled by the scientific bibliography researchers of the Vasyl Stefanyk National Scientific Library of Ukraine in Lviv. Some of the Ukrainian books of 1919–1934 held in Canadian libraries and mentioned in the bibliographic index are the only copies of these books available worldwide. Keywords: Ukrainian diaspora, Western Ukrainian book, interwar period (1914–1939), Canadian libraries, electronic database of book publications
Many more predecessors: A representation workout

Abstract From the outset, lambda calculus represented natural numbers through iterated application. The successor hence adds one more application, and the predecessor removes. In effect, the predecessor un-applies a term—which seemed impossible, even to Church. It took Kleene a rather oblique glance to sight a related representation of numbers, with an easier predecessor. Let us see what we can do if we look at this old problem with today’s eyes. We discern the systematic ways to derive more predecessors—smaller, faster, and sharper—while keeping all teeth.
Research on Intelligent Translation System Based on Deep Learning

Based on the new generation of artificial intelligence theory, such as deep learning, this paper proposed an intelligent translation model based on bidirectional long short-term memory model and attention mechanism. By training deep recurrent neural network, the encoder-decoder framework significantly improves the translation accuracy and system stability, and significantly reduces the training time compared with the traditional statistical machine translation model. Meanwhile, it will also improve the robustness of the intelligent translation system and solve problems such as the lack of training corpus for small language.
Integrated Detection and Tracking in Asynchronous Moving Radar Network

In this paper, an integrated detection and tracking (IDT) algorithm is developed for asynchronous moving radar network. The main idea of IDT is to adjust the threshold of each radar by utilizing the prior track information, while keeping the constant track false alarm rate property. The prior track information we utilized is the predicted distribution of the target location, which can be obtained through jointly estimate radar and target state. Simulation results show that the proposed IDT algorithm can improve the detection and tracking performance significantly, when compared with the existing works.
Detecting Bank False Account Based on Naive Bayesian Network

Abstract With the development of Internet, more and more fraudulent cases are committed on the basis of bank false accounts, but the means and ability of bank to verify the true identity of customers are limited. Generally, a bank online verification system can only check the authenticity of identity cards through inquiry, while the verification of people and cards can only be completed manually by Bank tellers, but only by the counter. Personnel’s naked eye judgment is prone to potential risks. Aiming at the problem of fraud of bank customer identity, this paper proposes a method of automatic detecting bank account fraud using Naive Bayesian Network classification model, and verifies the feasibility of this method through specific examples.
Image Mosaic Algorithm Based on SURF

Based on SURF feature detection operator, image feature points are extracted, matched and mosaic Wavelet transform is used to fuse the registered images and eliminate the edges between stitched images. Overall, the splicing effect is well.
Color Image Encryption Based on Principal Component Analysis

For the M × N encrypted color image size, data of at least M × N × 3 will be calculated, and the amount of data is too large, so that the operating system is also required to be very strict. Therefore, it is necessary to propose an algorithm that can encrypt some relatively small data to obtain a good encryption effect and use the data to reconstruct the original image. An image encryption algorithm based on PCA (principal component analysis) is proposed in this paper, which performs small variance reduction on the data of those dimensions, and then encrypts the obtained data. In this paper, the chaotic sequence generator uses 2D-Logistic to calculate the matrix generated by the chaotic sequence and the reduced-dimensional data, so as to obtain a good encryption effect.
Investigation on e-Learning Status Estimation for New Learners — Classifier Selection on Representative Sample Selection

This article introduces our investigation on learning state estimation in e-learning on the condition that visual observation and recording of a learner's behaviors is possible. In this research, we examined methods of adaptation for a new learner for whom a small number of ground truth data can be obtained.
Research on the Method of Context Modeling Based on Ontology —— a Case Study of Tea Sales

Abstract With the raise of the Belt and Road strategy and the development of ubiquitous computing, the cross-platform context data coming from the wireless network,mobile computing and sensor network is increasing rapidly. How to shield the distribution and heterogeneity of context information so that users and their context information can be understood by computers has become a hot topic in current research. This paper takes tea sales as the research object. By building an ontology-based context model, this paper explores the effectiveness of the modeling method in solving semantic interaction and information fusion, and then promotes the organic integration of cross-platform and cross-industry scenario information in the new era .
Projection Theorem for Discrete-Time Quantum Walks

We make and generalize the observation that summing of probability amplitudes of a discrete-time quantum walk over partitions of the walking graph consistent with the step operator results in a unitary evolution on the reduced graph which is also a quantum walk.Since the effective walking graph of the projected walk is not necessarily simpler than the original, this may bring new insights into the dynamics of some kinds of quantum walks using known results from thoroughly studied cases like Euclidean lattices.We use abstract treatment of the walking space and walker displacements in aim for a generality of the presented statements.Using this approach we also identify some pathological cases in which the projection mapping breaks down.For walks on lattices, the operation typically results in quantum walks with hyper-dimensional coin spaces.Such walks can, conversely, be viewed as projections of walks on inaccessible, larger spaces, and their properties can be inferred from the parental walk.We show that this is is the case for a lazy quantum walk, a walk with large coherent jumps and a walk on a circle with a twisted boundary condition.We also discuss the relation of this theory to the time-multiplexing optical implementations of quantum walks.Moreover, this manifestly irreversible operation can, in some cases and with a minor adjustment, be undone, and a quantum walk can be reconstructed from a set of its projections.
PERANCANGAN SISTEM INFORMASI PENDAFTARAN SISWA BARU BERBASIS WEB PADA SEKOLAH MI DAARUL HIKMAH (PINK 02)

Registration at a school is a very important initial process. With a good registration system will simplify and streamline the process of admission of new students. With the development of technology today, making all community activities related to the world of the internet, including in the process of accepting new students at a school. MI DAARUL HIKMAH (PINK 02) is a private elementary school based on Islamic religious education. This school has been established since 1998 with a higher public awareness of the importance of religious knowledge, causing many new students who want to enter this school. New Student Registration at this school still uses a manual system, and raises several problems. Among the differences in the existing data on the New Student Registration Committee and the Administration, there are often double data, and the process of disseminating information is less efficient to the Walimurid. An application is needed that facilitates the process of accepting new students at this school. Then the MI DAARUL HIKMAH New Student Registration Information System (PINK 02) was successfully created. The design of a web-based student registration information system can assist the school in carrying out the registration and admission of prospective new students. The entire data can be stored in a database that will be a school archive will be far safer than having to save reportsfiles that are not efficient and allow damage and loss. This information system can display announcements of new students who are accepted or rejected.
Decision Support System for Boarding house Search Using Topsis Algorithm

Boarding house are temporary homes that are most in demand by students or upper level students. However, to get the appropriate boarding house is not easy because of the difficulty of obtaining boarding house information and also many boarding house criteria that must be considered such as rental rates, room area and boarding house facilities etc. Multi criteria decision support system using the Topsis method can facilitate students in finding boarding house. Users can input the boarding house criteria to be searched such as rental rates, room area and boarding house facilities, then after that a mathematical calculation will be performed on each boarding house using the Topsis method. Resulting in board recommendations that match what the user is looking for. The system is made using Java for Android-based programming. The test is performed using the confusion matrix method to measure the accuracy of the costing recommendations produced by the system, resulting in 83% accuracy and 17% of recommendation errors.
Research on Active Dynamic Trusted Migration Scheme for VM-vTPCM

Dynamic migration of virtual machine (VM) is the main feature of the cloud environment, and trusted computing is one of the core technologies to solve the security problems of the cloud environment. Aiming at the security problem of VM and virtual trusted root (VTR) migration in the cloud environment, an active dynamic trusted migration scheme built upon the Chinese active immune trusted computing (AITC) is investigated in this paper, where migration architecture and protocol are included. To validate the effectiveness of the scheme, experiments are carried out and promising performance is shown in comprehensive experiment results.
A Deep Deformable Convolutional Method for Age-Invariant Face Recognition

With the rapid development of deep learning, face recognition also finds its improving dramatically. However, facial change is still a main effect to the accuracy of recognition, as some complex factors like age-invariant, health state and emotion, are hard to model. Unlike some previous methods decomposing facial features into age-related and identity-related parts, we propose an innovative end-to-end method that introduces a deformable convolution into a deep learning discriminant model and automatically learns how the facial characteristics changes over time, and test its effectiveness on multiple data sets.
Investigation of DNN based Feature Enhancement Jointly Trained with X-Vectors for Noise-Robust Speaker Verification

In this paper, we investigate the deep neural network (DNN) based feature enhancement as the denoising frontend of the x-vector speaker verification framework in noisy environments. Firstly, the feature enhancement DNN (FE-DNN) learns the mapping function from the noisy to the clean corpora on the frame-level acoustic feature domain, and then the x-vector network (XvectorNet) is trained on top of the enhanced features. Finally, the separately trained FE-DNN and the XvectorNet are serially concatenated and jointly trained under the supervision of cross-entropy loss. In addition., we adopt the logistic margin softmax layer for training the XvectorNet in order to obtain more discriminative speaker embeddings.
To thine own god be true

Is our love affair with AI really about building a new kind of deity to meet the human need for a higher power? Max Barry´s excellent novel Providence lays out the case
Analysis of Data for SCAN Project

According to the SCAN Project’s grant agreement, the Consortium must carry out 500 questionnaires and 100 semi-structured, qualitative interviews. This paper proposes the methodology enacted to formulate and present the indicators regarding the state of knowledge of the users on the project topics.
Inter-library book exchange of the Lviv Academic Library in the 1960’s – 1980’s: gains and losses

The Lviv Branch of the Library of the Academy of Sciences of the USSR was established in January 1940. A large number of private, institutional and other book collections, mainly nationalized by the authorities, or abandoned by owners were taken to the institution. Private book collections confiscated by NKVD also were transferred to the Library. A special department of concentration was set up at the library to preserve, organize, and process these thousands of volumes of literature. Initially, many valuable books from this subdivision was transmitted to the Ukrainian and Union academic institutions, libraries, museums only quantitatively, without any official acts of transfer. At the end of 1963, the transfer of publications from the LFS NLF sector to other institutions began to be formalized by acts, since then it became organized. The paper covers the process of inter-library book exchange of the Lviv Academic Library between 1960’s and 1980’s, and as a result significant arrays of retrospective editions, in particular Ukrainian studies subjects from doublet collections Shevchenko Scientific Society Library, were transferred to libraries, science museums and other institutions of the former USSR and abroad. Particular attention is paid to the old printed literature. The research uses methods of analysis and synthesis, combined with a chronological and comparative-analytical methods that are considered to be an important for the presented topic. Keywords: Vasyl Stefanyk Scientific Library in Lviv, Academy of Sciences of the Ukrainian SSR, book exchange, transfer and dispersal of library collections.