Reviewerly/exHarmony huggingface dataset:
NLPRL Odia-English: Indic Language Neural Machine Translation System

In this manuscript, we (team name is NLPRL) describe systems description that was submitted to the translation shared tasks at WAT 2020. We describe our model as transformer based NMT by using byte-level based BPE (BBPE). We used the OdiEnCorp 2.0 parallel corpus provided by the shared task organizer where the training, validation, and test data contain 69370, 13544, and 14344 lines of parallel sentences, respectively. The evaluation results show the BLEU score of English-to-Oria below the Organizer (1.34) and Oria-to-English direction shows above the Organizer (11.33).
Project based pedagogy in the development of physical-mathematical thinking

Abstract Physical-mathematical thinking is the visible representation of the relationship between physics and mathematics. It is based on the development of the five types of mathematical thinking and leads to the consolidation of the learning of physics through the construction, interpretation, abstraction and consolidation of meanings for the teacher and the student about physical phenomena. The work allows for the implementation of a pedagogical strategy based on project-based pedagogy, which facilitates the development and application of mathematical algorithms for the analysis, understanding and explanation of physics by students in the context of collaborative field work. The study is framed in the quantitative paradigm, in a quasi-experimental design, working with control and experimental groups. Pre-test is applied to identify the development of physical-mathematical thinking in students and as a support to the design of the intervention proposal. Once the proposal is developed, the results are evaluated by means of a post-test that allows identifying significant improvements in the students’ physical-mathematical thinking.
PENERAPAN PEMBELAJARAN MIND MAPPING DENGAN GAME POHON PENGETAHUAN UNTUK MENINGKATKAN AKTIVITAS DAN HASIL BELAJAR

This research is motivated by the results of observations known to students experiencing difficulty in achieving the minimum completeness target and the lack of active students in learning. The author solves this problem by applying the Mind Mapping model to the knowledge tree game. This study aims to improve the activity and student learning outcomes. Research in the form of Class Action consisting of 2 cycles, each cycle consisting of 2 meetings with four stages, namely: planning, action, observation and reflection. The research subjects were students of class VIII-B MTsN 4 Pangandaran. Data to be taken include: student activity data, learning outcome data, teacher performance data during learning and student response data. The results showed an increase in activeness and student learning outcomes from cycle I to cycle II. The percentage of students' activeness in cycles I and II respectively: 59.26% and 81.48% while the percentage of classical completeness in cycles I and II respectively: 81.48% and 96.23%. Teacher performance during learning has reached good criteria. Students give positive responses to learning. The results of the study concluded that the application of Mind Mapping with the knowledge tree game could increase student learning activities and outcomes in the Structure and Function of Plant Network Functions in class VIII-B MTsN 4 Pangandaran. Learning with this model can be used to improve student activity and learning outcomes.
Respon Peserta Didik Terhadap Penggunaan Platform Quipper School dalam Pembelajaran Bahasa Inggris

The aim of this study is to know the students’ response toward english learning by using Quipper School platform. This study is survey research. The population of this study are the eleventh grade students IPS at SMAN 3 Selong.  The sample of this study is eleventh grade students IPS 2. The data is collected by using quisioner contain of statements should be answered by the responden.  Types of data are response scores of students response then anlaysed by quisioner score obtain criteria persentation.  The criteria interpreted in some categories such as very good, good, good enough, and not good category. The result of data analisis of students’ response toward the use of quipper school platform to aspect of use are 89% very good criteria, aspect of the display are 87% very good criteria, and persentation material aspect are 90% very good criteria.
IFHS Method on Moving Object Detection in Vehicle Flow

Moving target detection is widely used in the field of intelligent monitoring. This paper proposes an Improved Frame Difference Method Fusion Horn-Schunck Optical Flow Method (IFHS) algorithm to detect moving targets in video surveillance. First, a three-frame difference method is performed on the image to obtain a difference image. Second, the differential image is tracked according to the HS optical flow method to obtain an optical flow vector. Finally, the moving target is obtained by fusing the optical flow vector information of the two difference results. The problem of incomplete contours of moving targets detected in video surveillance by the separate optical flow method and the three-frame difference method is solved. The experimental simulation and experimental applications in different scenarios prove the robustness and accuracy of the method.
A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in Conversation

Emotion Recognition in Conversation (ERC) is a more challenging task than conventional text emotion recognition. It can be regarded as a personalized and interactive emotion recognition task, which is supposed to consider not only the semantic information of text but also the influences from speakers. The current method models speakers' interactions by building a relation between every two speakers. However, this fine-grained but complicated modeling is computationally expensive, hard to extend, and can only consider local context. To address this problem, we simplify the complicated modeling to a binary version: Intra-Speaker and Inter-Speaker dependencies, without identifying every unique speaker for the targeted speaker. To better achieve the simplified interaction modeling of speakers in Transformer, which shows excellent ability to settle long-distance dependency, we design three types of masks and respectively utilize them in three independent Transformer blocks. The designed masks respectively model the conventional context modeling, Intra-Speaker dependency, and Inter-Speaker dependency. Furthermore, different speaker-aware information extracted by Transformer blocks diversely contributes to the prediction, and therefore we utilize the attention mechanism to automatically weight them. Experiments on two ERC datasets indicate that our model is efficacious to achieve better performance.
Challenges and Practices of Research Data Management at Kepustakaan LIPI Kawasan Bandung

In the past 10 years, an international agenda around Research Data Management (RDM) emerged as a practice that can occur at various stages in the research cycle. RDM is a description of organizational activities, storage, preservation and sharing of data collected for research. This study aims to determine the challenges and practices of RDM at Kepustakaan LIPI Kawasan Bandung PDDI-LIPI in the management of video files as authentic research data from the results of research activities. The method used was a descriptive research method. From the research results, it was known that Kepustakaan LIPI Kawasan Bandung-PDDI-LIPI as a multimedia library had compiled a research plan for the period 2019 to 2023, after joining the PDDI-LIPI, research planning was augmented with research data management (primary data). But in the planning, training activities that support the implementation of RDM had not been made. Research data collection had been done, there was research data in the form of video files total 4.517 titles stored on Network-Attached Storage, it was found photos and audio that had not been collected properly. Processing and analyzing research data had been done, but only research data was packaged in video files, while photos and audio had not been done. Publishing and sharing of research data had been done. Preservation of research data in the video file format was managed and stored in the Digital Asset Management application. Researchers who need research data in the video file, for re-using data, they could visit Kepustakaan LIPI Kawasan Bandung-PDDI-LIPI. Considering that training is very important, it is advisable to make plans for employee participation in RDM training. It is recommended that all research data including photos and audio to be collected properly. Making a website as a means of publishing and sharing, also re-using research data is recommended to be made immediately.
Social-philosophical aspects of educational online platform at the russian internet segment

The article is devoted to the analysis of online platforms focused on a modern teacher in the space of the Russian-language Internet. The aim of the article is to identify the most effective online platforms, the integrated use of which will significantly increase the degree of informatization and digitalization of the educational process adequate to the current state of information culture. Such resources make it possible to broadcast various kinds of structured information, demonstrate both the content of the educational activities of teachers and its creative component, transmit and receive information remotely, which meets the requirements of a developing information society. Empirical, structural-functional and structural-typological methods were used in the study. The technological component of distance learning determines a wide range of technical capabilities, a sufficient number of existing Internet resources, and at the same time, equipment of educational institutions, licensed software, and content uniqueness remain problematic. From the standpoint of social philosophy, it is concluded that in the developing information society, the Russian education sector is faced with a situation where domestic educational online resources are ahead of the average level of information culture of teachers with their capabilities.
Survey on Banking System using Block Chain Technology

Increasing digital technology has revolutionized the life of people. The banking system in today’s world is open to threats of fraud and cyber-attacks. Since todays banking system is built on centralized databases, it is easy for an attacker to penetrate in any such database which will easily compromise all the information and data of the customers of the bank. This vulnerability of today’s banking system can be reduced by re-building the banking systems on top of block chain technology, which will remove the centralized database architecture and decentralize the data over the block chain, thus reducing the threat of database being hacked. Since the transactions over the block chain technology is verified by each and every nodes of the chain, it will make the transactions more secure thus making the overall banking system faster and secure.
Social maturity of a future teacher and professional formation

In our thesis is devoted to the problem of development of social maturity of the future teacher and his professional formation. The scientific prerequisites for studying the problem of social maturity are justified by the results of the analysis of social and cultural trends in the development of modern pedagogical education, the integration essence of pedagogical activity and the personality of the teacher make it possible to conclude that the theoretical search for effective ways of developing the social maturity of the future teacher. Methodological basis of the concept of development of social maturity at the philosophical level are the ideas of the active essence of man, his role in solving social, personal problems, the idea of natural and social integrity. The laws of the dialectic of unity and struggle of opposites, the transition of quantitative changes to qualitative, the principles of objectivity, determinism, development, systemicity and interaction. The leading methodological foundations of the research concept are systematic and activity approaches that allowed to consider social maturity as an integral system, to identify its elements, to define the subordinate basis of interaction, to establish the internal and external relations and interdependence between them, to consider each element as a system, and «social maturity» as a subsystem of system education of a higher level – «maturity». The content and ways of developing the social maturity of the future teacher in the context of updating the information culture of society aimed at increasing the efficiency of this process; methods and forms of activating conditions for the development of social maturity of the future teacher through the introduction of virtual forms of work; the methodology and tools for diagnosing the social maturity of the future teacher have been improved. The conceptual basis for the training of future teachers in terms of updating the information culture of society; pedagogical conditions and methods of effective formation of social maturity of the future teacher; use of modern information and communication technologies in the training of future teachers are of further development.
Latent Compass: Creation by Navigation

In Marius von Senden's Space and Sight, a newly sighted blind patient describes the experience of a corner as lemon-like, because corners "prick" sight like lemons prick the tongue. Prickliness, here, is a dimension in the feature space of sensory experience, an effect of the perceived on the perceiver that arises where the two interact. In the account of the newly sighted, an effect familiar from one interaction translates to a novel context. Perception serves as the vehicle for generalization, in that an effect shared across different experiences produces a concrete abstraction grounded in those experiences. Cezanne and the post-impressionists, fluent in the language of experience translation, realized that the way to paint a concrete form that best reflected reality was to paint not what they saw, but what it was like to see. We envision a future of creation using AI where what it is like to see is replicable, transferrable, manipulable - part of the artist's palette that is both grounded in a particular context, and generalizable beyond it. An active line of research maps human-interpretable features onto directions in GAN latent space. Supervised and self-supervised approaches that search for anticipated directions or use off-the-shelf classifiers to drive image manipulation in embedding space are limited in the variety of features they can uncover. Unsupervised approaches that discover useful new directions show that the space of perceptually meaningful directions is nowhere close to being fully mapped. As this space is broad and full of creative potential, we want tools for direction discovery that capture the richness and generalizability of human perception. Our approach puts creators in the discovery loop during real-time tool use, in order to identify directions that are perceptually meaningful to them, and generate interpretable image translations along those directions.
Innovative technologies for evaluating user interfaces of information security systems in the digital educational environment

Abstract The article is concerned with solving of the practical and theoretical issues of usability characteristics assessment of systems of information protection from unauthorized access digital educational environment. A comparative analysis of innovative technologies of usability characteristics assessment used to assess the quality characteristics of software user interfaces is carried out. The considered methods can be applied to assess the functional quality of systems of information protection in terms of ease of use for users of various categories. Apart from that, the security administrator applies special requirements to the systems of information protection interface. A qualitative and quantitative assessment of usability characteristics for this category of users is required in connection with the significant influence exerted by the administrator on the information security processes and the dependence of his work efficiency on the systems of information protection usability characteristics.
Person re-identification by multi-division attention

Person re-identification is significant but a challenging task in the computer visual retrieval, which has a wide range of application prospects. Background clutters, arbitrary human pose, and uncontrollable camera angle will greatly hinder person re-identification research. In order to extract more discerning person features, a network architecture based on multi-division attention is proposed in this paper. The network can learn the robust and dis-criminative person feature representation from the global image and different local images simultaneously, which can effectively improve the recognition of person re-identification tasks. In addition, a novel dual local attention network is designed in the local branch, which is composed of spatial attention and channel attention and can optimize the extraction of local features. Experimental results show that the mean average precision of the network on the Market-1501, DukeMTMC-reID, and CUHK03 datasets reaches 82.94%, 72.17%, and 71.76%, respectively.
Privacy Preserving Anonymization Schemes-On Transaction Data Publishing

Now days, due to the sheer amount of data, its complexity and the rate at which it is generated, traditional algorithms that are present so far for the privacy preservation of relation data publishing are not capable enough to ensure privacy as efficiently for transactional data also. From last two decades the interest also increases to provide better data preserving schemes for data publishing. There are a number of algorithms, schemes, models and techniques in the literature that ensure privacy against identity disclosure and attribute disclosure attacks. This paper is a comprehensive survey of the past work done in the field of anonymization to provide privacy against transactional data publishing.
Dataless Text Classification with Pseudo Topic Representation

As for an automatic text classification approach, a large body of research on latent-topic based Dataless Text Classification (DTC) has been emerged in recent years. Perusing the candidate seed words or guaranteeing the quality of the category-topics is the core mission of this approach. However, few previous studies consider the quality of specific category-topics at the collection level instead at the document level, because not all topics are equally coherent or category sparsity. In this paper, we focus on alleviating the dilemma for the seed words selection problem in DTC by using pseudo text understanding. Differently from the existing latent-topic based DTC approach, we propose an unsupervised method named Pseudo Document Labeled Classification (PDLC). It extracts the most representative word list to capture the best latent semantic category-topic description. Experimental results indicate that our PDLC scheme achieves better classification accuracy without any labeled data or external resource.
Tengholm/Ullberg Big Band

This thesis gives the reader my view of what it’s like to be a leader of a big band, an arranger of big band music, and the difference in playing in an ensemble compared to being a soloist in front ...
FRAMEWORKS ANALYSIS AND EVALUATION USED IN THE WEB-APPLICATION DEVELOPMENT

This article presents the approaches used to analyze and evaluate modern frameworks that are used in the development of web applications.The analysis and evaluation of frameworks allow you to choose the framework that can be most efficaciously used for each specific case of software development.The popularity of using frameworks in the development of web applications is due to a significant reduction in the time and other resources spent on project execution.The article describes the concept of a framework as a technology for developing web applications and the classification of frameworks.Five main types of frameworks are briefly described.Criteria for the rationality of using frameworks for developing a web application are considered.The advantages and disadvantages of using them when creating web-oriented software are given.When evaluating web applications according to COCOMO model, software options were considered with the use of frameworks in development, and without the use of frameworks.This article provides an overview of the families of modern Back-End frameworks.A comparison of the functionality of the Back-End frameworks of six manufacturers for commercial software solutions is carried out.The choice of criteria for assessing the quality of frameworks is examined.As a basis, when choosing quality criteria, it is proposed to use the ISO 25010 standard.The coefficients of importance for the evaluation criteria, the values of which were obtained with the help of experts, are given.When forming the final assessment of the frameworks, such characteristics as functional suitability, security of working with data, modifiability, interface quality, interaction with payment systems, and integration with JIRA, compatibility, productivity were mentioned.General quality scores were obtained for all the frameworks under consideration.Assessing the quality of frameworks allows you to improve the process of developing a web-oriented software product, the purpose of which is to obtain a web application of a given quality.
INTERCULTURAL ASPECTS IN TEACHING INDONESIAN AS A FOREIGN LANGUAGE (BIPA)

Learners should be intercultural speakers in foreign language teaching that promotes the intercultural dimension. In mastering the intercultural competencies, students are expected to be able to position themselves based on the background of their origin cultures and the culture that they learn in intercultural situations. This study aimed to find out how teaching the intercultural competencies was implemented in the course of Indonesian as a Foreign Language (BIPA), especially at the beginner level. This study investigated the intercultural teaching through textbooks, classroom observation, cultural program, and assessment used for the beginner course at the Institution X. The results of the analysis showed that the textbooks used contain themes of intercultural learning for the survival needs of novice students. The results of the classroom observation also showed that intercultural teaching was well executed. However, the results of the field trip observations that were part of the cultural program showed that the activities were not integrated with language learning. Besides, the results of the assessment analysis indicated that the exercise books and the tests used were not considered as the intercultural aspects. Therefore, this study is expected to provide input for intercultural teaching in BIPA courses, especially at the beginner level.