Reviewerly/exHarmony huggingface dataset:
Pedagogical Conditions of Emotional Intlltgence Development in Future Music Teachers

The article is focused on the study of peculiarities of the development of the emotional intelligence in future music teachers in the process of their professional training. Thepurpose of the article is to determine pedagogical conditions of emotional intelligence formation in future music teachers in the process of their professional training. Thearticle outlines three pedagogical conditions, which underlie the strategy of development of emotional intelligence in future music teachers. The first condition is the intensificationof students’ motivation for emotional interaction in the process of professional training.This pedagogical condition increases the effectiveness of professional training through understanding emotions as a resource for personal growth and self-accomplishment.The second pedagogical condition is the creation of an artistic communicative and reflexive environment as a means of conscious regulation of the emotional field in the process of professional training. The artistic communicative and reflexive environment is regarded as the complex of factors of social, pedagogical and artistic influence. The thirdpedagogical condition is the introduction of training technologies for teachers and students.
ENHANCING DIGITAL COMPETENCES IN HIGHER EDUCATION

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 7939-7944ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.1879Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Bringing Paradigm shift in Future e-Voting through Blockchain - A Social Initiative from theory to practice and finally executing

Blockchain is the technology of the new age which has the potential to disrupt many industries; similar to how internet did in the early 1990s and has the potential to revolutionize how society trades and interacts. In this article an attempt has been made to analyze the benefits and impacts of blockchain in e voting over the conventional voting system. This has the potential to address the shortcomings of the existing system that will make possible the concept of blockchain from theory and practice to the final execution. Since the Election carnival is going on a pan India basis hence it would be the duty of all citizens to glimpse about this phenomenon, so that it get implemented in holistic manner across the country and bring transparency in totality.
THE DESIGN OF THE HISTORY LEARNING BOOK OF THE DAYS OF NATIONAL STRUGGLE BASED ON ANDROID

The design of the history learning book of the days of national struggle is a manifestation of the author's concern for the current phenomenon. The commemoration of the days of national struggles aimed at instilling historical memories of the past is not in accordance with its purpose. The warning is followed only as a routine without knowing the history and even the warning date. Through this design, the author introduces history from the commemoration of the days of national struggle to children, and quizzes. The purpose of this design is to introduce history to commemorate the days of national struggle so that children can learn to love their country through historical knowledge so that the meaning the commemoration of the days of the national struggle did not fade. Trials have been done on the Jallybean emulator (4.0.3). While the program implementation is carried out on Samsung smartphones. In general, the results are displayed from Samsung emulators and smartphones are not much different from the results of the Jallybean emulator (4.0.3), only Android is with a higher version has faster access speeds. Keywords : Childrens ’ Books, History, Commemoration of National Struggle Days, Android
Salt and Pepper Noise Removal using Pixon-based Segmentation and Adaptive Median Filter

Removing salt and pepper noise is an active research area in image processing. In this paper, a two-phase method is proposed for removing salt and pepper noise while preserving edges and fine details. In the first phase, noise candidate pixels are detected which are likely to be contaminated by noise. In the second phase, only noise candidate pixels are restored using adaptive median filter. In terms of noise detection, a two-stage method is utilized. At first, a thresholding is applied on the image to initial estimation of the noise candidate pixels. Since some pixels in the image may be similar to the salt and pepper noise, these pixels are mistakenly identified as noise. Hence, in the second step of the noise detection, the pixon-based segmentation is used to identify the salt and pepper noise pixels more accurately. Pixon is the neighboring pixels with similar gray levels. The proposed method was evaluated on several noisy images, and the results show the accuracy of the proposed method in salt and pepper noise removal and outperforms to several existing methods.
Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure

Robotic control via reinforcement learning (RL) has made significant advances. However, a serious weakness with this method is that RL models are prone to overfitting and have poor transfer performance. Transfer in reinforcement learning means that only a few samples are needed to train policy networks for new tasks. In this paper we investigate the problem of learning transferable policies for robots with serial structures, such as robotic arms, with the help of graph neural networks (GNN). The GNN was previously employed to incorporate explicitly the robot structure into the policy network, and thus make the policy easier to be generalized or transferred. Based on a kinematics analysis particularly on the serial robotic structure, in this paper we further improve the policy network by proposing a weighted information aggregation strategy. The experiment is conducted in a few-shot policy learning setting on a robotic arm. The experimental results show that the new aggregation strategy significantly improves the performance not only on the learning speed, but also on the policy accuracy.
Decentralized Distributed PPO: Mastering PointGoal Navigation

We present Decentralized Distributed Proximal Policy Optimization (DD-PPO), a method for distributed reinforcement learning in resource-intensive simulated environments. DD-PPO is distributed (uses multiple machines), decentralized (lacks a centralized server), and synchronous (no computation is ever stale), making it conceptually simple and easy to implement. In our experiments on training virtual robots to navigate in Habitat-Sim, DD-PPO exhibits near-linear scaling -- achieving a speedup of 107x on 128 GPUs over a serial implementation. We leverage this scaling to train an agent for 2.5 Billion steps of experience (the equivalent of 80 years of human experience) -- over 6 months of GPU-time training in under 3 days of wall-clock time with 64 GPUs. This massive-scale training not only sets the state of art on Habitat Autonomous Navigation Challenge 2019, but essentially solves the task -- near-perfect autonomous navigation in an unseen environment without access to a map, directly from an RGB-D camera and a GPS+Compass sensor. Fortuitously, error vs computation exhibits a power-law-like distribution; thus, 90% of peak performance is obtained relatively early (at 100 million steps) and relatively cheaply (under 1 day with 8 GPUs). Finally, we show that the scene understanding and navigation policies learned can be transferred to other navigation tasks -- the analog of pre-training + task-specific fine-tuning for embodied AI. Our model outperforms ImageNet pre-trained CNNs on these transfer tasks and can serve as a universal resource (all models + code will be publicly available).
ARCHIVE OF THE HEADQUARTERS OF THE SEPARATE CORPS OF GENDARMES

The article, based on unpublished sources, shows the process of organizing the archive of the Headquarters of the Separate Corps of Gendarmes (HSCG), which consisted of several stages. At the first stage, the archive was not actually separated from the office work and had no special manager, which caused the disorder and led to the need for regular full-scale inspections. A new stage in the life of the archive was outlined with the establishment of the post of the chief of the archive of the HSCG, the first of which in 1853 was the titular adviser DS. Fedorov. Over time, in 1874, the post was abolished, but the archive was constantly under authority of the Secretary of the Corps Headquarters, who was also in charge of the Chancery. Until 1899, the post of Secretary of the Staff was occupied by civil servants (titular adviser Bragin, SZ Nesterov, LO Natkovsky). Subsequently, this position was taken exclusively by the officers of the Separate Corps of Gendarmes (NP Starov, AN Vaulin, DA Pravikov, LK Bankovsky, VN Likhachevsky). Most of these officers considered the post of secretary of the headquarters as temporary and looked for opportunities to head any gendarme department, and therefore the state of the archive could not be called exemplary.
Ensuring Responsive Action and Program Policy for Early Childhood Development and Education with Real-time Data Management

ObjectivesAt West Nusa Tenggara, data were scattered in various sectors and yet no real-time data management was set up in the time of the study. We reported the staging of process on designing an applicable real-time data management system within a provincial program to support child growth, development and education.        Materials and MethodsA formative study was carried out to gather necessary information through data mapping, in-depth interviews with key stakeholders, document reviews, and direct field observations on infrastructures.Results and FindingsTo obtain a full picture on child growth, development and education, data from various sectors and programs shall be mapped and linked in one Platform. We introduce the Open Smart Registry Platform (OpenSRP) to systematically compile the individual as well as group data (i.e. village or district profiles) across different aspects of child life, ranging from nutrition, health, education, etc. Using a tablet PC, data could be easily entered at anytime (real-time data) by the person in charge into Enketo form - a user friendly application developed by Ona Systems. Due to still poor infrastructure at the grass root level, the system also allows a safety store offline that could automatically link to server when network connection is available. The immediate data entry will provide real-time data report that could be accessed by any relevant stakeholders at any levels to response accordingly. However, to avoid misuse of data, the access will also be restricted with a secured login system.     ConclusionBased on the formative study, the OpenSRP is easily applicable for real-time data management given the local setting.
Evaluation and Error Analysis of Rule-based Paraphrase Generation for Czech.

In this paper, we present the experiments and evaluationofpreviously developed rule-based paraphrasing system for theCzechlanguage. The system offers several interconnected modulesthat allow togenerate paraphrases of an input sentence based onvarious criteria such asthe Czech WordNet hierarchy,word-ordering rules or anaphora resolution.We have evaluatedeach module’s accuracy and we offer a detailed analysisof theresults as well as concrete proposals for improvements.
Real-time Video Image Super-Resolution Network for Mobile Terminals

A lightweight video image super-resolution (SR) neural network and its processing system, which is aimed for real-time video processing of mobile terminals, has been developed. The result showed that the system with the edge calculation device is feasible. We choose the PYNQ-z2 as the mobile terminal to transplant our algorithm. When the input size is 200×200 and the upscale is x2, the time cost can be no more than 65ms with the system.
Mining of Implicit Association Relationship of Text based on Audit Knowledge Base

Abstract In the knowledge base, the concept is refined, and it is difficult to realize the analysis of correlation between concepts through statistical means. However, a large number of domain business relationships stored in the knowledge base provide the basis for the inter-concept relationship. By analyzing the characteristics of the direct correlation between concepts, we can find the indirect relation between the concepts implicit in the knowledge base. To measure the degree of the indirect correlation between the concepts, we can select the strong association relation that meets the requirement as the association rule with potential significance in the knowledge base.
A Novel Algorithm for Damaged Barcode Recognition Based on Deep Learning

EAN/UPC barcode is one of the most used barcode system in commodity production, logistics and warehouse operation. However it is unavoidable that the barcode will be damaged during the process of commodity transportation and sale. In this paper, a barcode recognition algorithm based on deep learning is proposed for the recognition of damaged barcode. In our proposal, a convolutional neural network is designed for barcode recognition. The CNN based on deep learning is basically constructed of six convolution layers and three full connected layers. A hundred thousand barcode images with simulated degradation are generated as dataset to train the model, and a custom loss function is utilized to boost the recognition performance. The experiment result shows that recognition rate is up to 99.43%.
Wearable Facial Action Unit Classification from Near-field Infrared Eye Images using Deformable Models

Developments in head-mounted displays and wearable eyewear devices provide an opportunity to recognize expressions from near-field images, however this is not an area that has received significant research attention to date. In this study, we explore the identification of seven basic upper facial action units by analyzing just part of the face, i.e. infrared eye image, and applying a deformable eye model to obtain detailed information from the eye region. Based on this eye model, a novel feature extraction method is proposed that is a hybrid of geometric and appearance features extracted from around the edge of the eye. Evaluation on a novel database of near-field infrared facial expressions from 16 participants shows that 7-class upper face action unit classification can achieve around 78.8% accuracy using the proposed method, which is promising for wearable applications of automatic facial expression analysis.
Improve Students’ Listening Skill By The Utilization Of Radio Broadcasts In English

Teaching foreign languages is always estimated to be challenging to the young learners of language. The environment of the classroom has improved and complicated by the advancement of electronic technologies. Modern technology has transformed the way students learn and interact with their environment. Broadcast media are regarded as eye and hear of the people because they look for information on behalf of the general public. Media have always formed an important part of modern education since the beginning of the twentieth century. From print to radio, television, and today’s Web-enabled e-learning, each medium has been seen as a potential solution for the problems, inadequacies and certain ills of education. Radio broadcast is a very effective tool that can serve to supplement class room instruction especially of English, efficiently and effectively. In this article the strategies of teaching and learning foreign languages are given with the help of radio broadcasts in English.
Analysis and information system designs of surveillance infection control system in the hospital

Abstract Almost of infection diseases transmitted in a hospital by medical divides. Until now there is no surveillance system that can store data about system infections in hospitals. This study aims to analyse and identify the design of information systems in hospitals. The method used is using Rapid Application Development (RAD). The results of this study consist of the duties and functions of health workers in the surveillance system as well as data that needs to be known when conducting surveillance. Conclusion in this study was identifying the duty of health workers as users and data that needs to be taken in conducting surveillance.
Analisis Penggunaan Tata Bahasa Indonesia dalam Penulisan Ragam Kalimat: Studi Kasus Pemelajar Kelas 11 SMA Cristal Dili

Writing a variety of sentences in Bahasa Indonesia must be following Indonesian grammar rules. The purpose of this writing is to describe the simple Indonesian grammar, as well as to see its implementation on the teaching of class 11 BIPA in Cristal Dili High School. Analysis of the use of Indonesian grammar in writing a variety of sentences is done by a qualitative descriptive method. As a tool to describe Indonesian grammar used in Indonesian grammar according to the rules of the grammar of Bahasa Indonesia, enhanced spelling, and dictionary of the Indonesian language. The Indonesian standard of writing sentences includes proper word selection, effective sentence, punctuation usage, and capitalization. The results showed that the infirmity of writing sentences using Bahasa Indonesia was the fault of ineffective punctuation, diction, and sentences.
Research on the Development Method of the Semantic Web Application Based on AllegroGraph

With the continuous development of semantic web technology, semantic web applications are getting more and more attention. However, the research on semantic web applications at home and abroad is still in the theoretical stage, lacking the specific methods of semantic web application development. Moreover, there are few semantic web products for users. In response to this problem, the advantages of AllegroGraph in semantic data storage and query as well as in the semantic web application development are introduced. Then the development framework of the semantic web application based on AllegroGraph and its implementation method are given. Specifically, taking information retrieval as an example, the construction process of the data layer, the logic layer and the presentation layer are described in detail. The experimental results show that the information retrieval method based on semantic, compared with that based on keyword, has a significant improvement in the recall rate and precision rate, which lays a foundation for the application of semantic web products in enterprises to a certain extent.
The Cyber Incident Landscape

The Canadian financial system is vulnerable to cyber threats. But for many firms, cyber risk is difficult to quantify. We examine public information on past cyber incidents to better understand the current risk landscape and find that a holistic view is needed to fully grasp the nature of this risk.
Tendencies in Development of Methodological Support in Training Future Specialists in Musical Art in the Conditions of Modern Pedagogical Education

In the context of integration to the European educational space, there is an urgent need for updating and improving the forms, methods and means of study at high school.Therefore, to-day one of the foremost directions in the field of computerization of education is to create and introduce multimedia in the learning process. The article exposes the relevance of utilizing multimedia in methodological support of future music teachers’ training. The use of multimedia sources is considered to be a defining factor in the efficacy of specialist training in institutions of higher education.The author provides with the essence of the concept "multimedia", as well as analyzes multimedia manuals on musical theoretical and instrumental performing disciplines.
THE CONTENT OF A TEACHER’S PROFESSIONAL IDENTITY CONCEPTION: THEORETICAL EXPLORATION AND INSIGHTS

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 6948-6956ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.1653Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
ADSM: Adaptive Data Scheduling Method for Hybrid Memories in Distributed System

With the deployment of innovative memories such as non-volatile memory and 3D-stacked memory in distributed systems, how to improve the application performance by utilizing the unique characteristics of these hybrid memories remains an active research direction. For instance, the Intel Knight Landing (KNL) processor incorporates a High Bandwidth Memory (HBM) using 3D-stacked technology with traditional DRAM onto the same chip. HBM achieves much higher bandwidth than traditional DRAM when the application exhibits high parallelism and sequential access. In this paper, we propose a new metric SP-factor to guide the data scheduling in distributed system using hybrid memories such as HBM and DRAM. The SP-factor incorporates the data access patterns including data block size and data access parallelism, which leads to better data scheduling decision for higher performance. We apply SP-factor to several data eviction policies on the hybrid memory system, which achieves better performance. Moreover, an adaptive data scheduling method (ADSM) is proposed for such hybrid memory system with HBM and DRAM. ADSM can dynamically adjust scheduling decisions based on runtime performance metrics so that it can adapt to workloads with different data access patterns. Our experimental results show that ADSM can significantly improve the performance of the representative workloads. For SQL query application with mixed access pattern, the cache hit ratio increases by 10.4% and the execution time reduces by 14.6% using ADSM compared to ARC policy.
EFEKTIVITAS PENERAPAN PENDEKATAN KONSTRUKTIVISME DALAM MENINGKATKAN KETERAMPILAN MENULIS KARANGAN DESKRIPSI

Writing description skill is a skill to describe an object obtained through an observation by means of someone’s senses, so that the reader can share the object described in the text. The research methods is use pre-experimental design. The purpose of this research is to see effectiveness of implementation constructivism approach to improve writing skills essay description. Based on the result of processing data, the pretest result show the average score is  (54,17) while the posttest show the average score is (86,67).  And based on the results of paired sample t test (t test) with a significance level <0,05 show the significance score 0,000, then it can be said there are significant defferencess in pretetst and posttest result. This suggest that the implementation of constructivism approach more effective in improving the description writing skill.
World of Cyber Space: Cyber (Crime, Security, Law) and Cyber Solution

The Cyber world is governed by the use of mobile, computer, electronics and electromagnetic  spectrum to store, modify, and exchanged data via networked systems and associated physical infrastructures. The Cyber world can be seen as the space in which computer transactions occur, specifically transactions between different computers, different networks, data, databases, images records, personal information and text on the Internet exist in cyberworld. It is global spectrumwithin the information environment consists of the interdependent network of information technology infrastructure, including the computer systems, mobile networks Internet, telecommunications networks, and IOT.