Reviewerly/exHarmony huggingface dataset:
Interdisciplinary Approach to Emotional Intelligence of Teacher of Musical Art

The article focuses on the significance of the methodological knowledge as a foundation of any scientific research, in which the function of the research tools is performed by methodological approaches.The concept and the logic of the pedagogical research were based on the requirements of the general methodology and the specific one, the philosophical principle of the universal relationship and a complex of theoretical methods, viz.: the method of the study of scientific literature, the method of citation, the method of analysis, the method of generalization, and the method of historically conditioned philosophical analysis.In the process of studying the scientific literature, analysing the methodological positions of the leading scientists, citing their papers, it was found that the role of the interdisciplinary approach to the study of complex systems becomes more important at the present stage of the development of science; the essence of the interdisciplinary research in the field of education was revealed and the relevance of that research was substantiated as an indicator of the above field's qualitatively new level of development; it was proved that education needs a change in the specifics of the pedagogical research towards a fuller application of the interdisciplinary methodology.The application of the historically conditioned philosophical analysis has made it possible to find out the historic roots of the phenomenon of the emotional intelligence and to analyse its essential substance in the ontological and epistemological aspects.As an object of the psychological analysis, the emotional intelligence is represented as a complex psychic entity, whose scientific status is defined as a new type of cognitive capabilities based on the unity of the cognitive-affective processes of the human psyche.In the context of the social aspect, it has been established that the emotional intelligence belongs to the general structure of the social intelligence, whose characteristic feature is the efficiency of the interpersonal communication.The pedagogical aspect of the study of the emotional intelligence is outlined by various contexts.It has been concluded that the formation of the emotional intelligence of a future teacher of musical art as a professionally significant quality should be investigated in an interdisciplinary aspect for the purpose of obtaining a complete and comprehensive characterization of that phenomenon.
THE IMPLEMENTATION OF VIDEOS TO IMPROVE THE EIGHTH YEAR STUDENTS’ SKILL IN WRITING RECOUNT TEXTS AT SMP N 1 PLERET

The aims of this research are to describe (1) studentsâ€™ writing skill before using video, (2) the implementation of using video technique to improve studentsâ€™ writing recount text, (3) the improvement of the studentsâ€™ writing skill after using video, and (4) the significant of differences between the studentsâ€™ writing before and after using video. This study is action research. The researcher collected the data by doing observation during the implementation, interviews with the teacher and the students, and test for the students and documents. The finding of this research consisted of two cycles. First and second cycle provided five stages, they are observing, questioning, experimenting, associating, and communicating. In observing stage, the researcher showed the example of recount text to the students. In questioning stage, the researcher asked the students to give their opinion about the text. In experimenting stage, the researcher explained material about recount text to the students. In associating stage, the researcher provided the activities and asked the students to make recount text as a test 1. In communicating stage, the researcher asked the students to communicate their work. And second cycle, in observing stage, the researcher showed video about recount text. In questioning stage, the researcher asked the students to give their opinion about the video. In experimenting stage, the researcher explained about the generic structure and language feature of the video. In the associating stage, the researcher provided the activities and asked the students to make recount text as a test 2. In communicating stage, the researcher asked the students to communicate their work. The results of this study in teaching writing recount text using video were that firstly, teaching writing recount text improved the studentsâ€™ writing in three aspects: content, organization, and language features. Secondly, the students became motivated in teaching and learning process using video.
Meaning and purpose in the pursuit of physics teaching careers

Many factors enter into the decision to teach high school physics: scholarships and salary, working conditions and hours, professional preparation and support, job satisfaction, etc.Another element is how teaching might contribute to one's sense of meaning and purpose in life.To investigate the dynamic interplay between the path of teaching and the human spirit, I developed the "Journeys" interview protocol, which adapts archetypal forms from the hero's journey (Campbell, 1949) to the journey of earning a degree in physics and pursuing teacher
OCR-based aircraft maintenance report data structuring

There is a large amount of maintenance data during the operation of the aircraft. In the scenario where the electronic maintenance data cannot be got, the data is mostly in the form of paper version. However, the data in form of paper version is not convenient for the reliability analysis of aircraft component. This paper develops a set of image text recognition method for the maintenance data in form of image from scanned paper, and develops corresponding structured method for aircraft maintenance data to prepare preliminary data for subsequent reliability analysis.
Hardware Acceleration of Computer Vision and Deep Learning Algorithms on the Edge using OpenCL

Machine vision using CNN is a key application in Industrial automation environment, enabling real time as well as offline analytics.A lot of processing is required in real time, and in high speed environment variable latency of data transfer makes a cloud solution unreliable.There is a need for application specific hardware acceleration to process CNNs and traditional computer vision algorithms.Cost and time-to-market are critical factors in the fast moving Industrial automation segment which makes RTL based custom hardware accelerators infeasible.This work proposes a low-cost, scalable, compute-at-the-edge solution using FPGA and OpenCL.The paper proposes a methodology that can be used to accelerate traditional as well as machine learning based computer vision algorithms.
A Fast Privacy-Preserving Multi-Layer Perceptron Using Ring-LWE-Based Homomorphic Encryption

Concerns about leaking privacy from data have been preventing from making good use of so-called big data, while privacy-preserving data analysis would still be a promising research direction. In this paper, we propose Privacy-Preserving Multi-Layer Perceptron (PP-MLP) that can compute the prediction real-time using Ring-LWE-based homomorphic encryption. We implement the proposed PP-MLP in the form of a two-party model consisting of client and server. The former encrypts input data and receives a classification result from a server, and the latter performs prediction over encrypted data. This scheme enables a client to acquire prediction without revealing actual data contents against a server. The proposed PP-MLP can make a fast prediction that requires up to 80 msec per input without a significant drop in classification accuracy compared to the convention multi-layer perceptron for plaintexts.
PENGAMANAN FILE DOKUMEN MENGGUNAKAN KOMBINASI METODE SUBTITUSI DAN VIGENERE CIPHER

Cryptography is a method of securing data using algorithms that have been developed continuously until now. Cryptography offers security in the form of data confidentiality, for example the confidentiality of data generated through encryption algorithms that scrambles personal information so that it cannot be read or solved by unauthorized parties. One of them is the substitution algorithm and the vigenere cipher is a classic method used for data security. The combination of these algorithm methods becomes a solution for double security as file protection. By using a cryptographic application for data security, the combination of the two method algorithms produces a data file that provides more security to the text file so that it is not easy and difficult to solve.
WEBSITES PRACTICING TO DEVELOP LISTENING SKILLS

&lt;p&gt;This paper shows the qualitative study of the employment of websites to practice English listening skills of students. The samples in this survey were the students majoring in English, one of school education, Pontianak, Indonesia. The open-ended questionnaire and interview were used to compile the data. The study reported that the students held a positive attitude toward the use of the websites for practicing listening skills because of many advantages such as the websites offer unlimited opportunities to learn and practice their listening skill as if they are in the real situation with native speakers and these opportunities provided them more new English vocabularies. Moreover, it can facilitate them to create autonomous learning strategies. It was also found that it was so convenient when using the internet sites for practicing listening skills outside classroom and from book, anywhere and anytime. However, the students experienced a problem with the native speaker accent so they could not understand the conversation.&lt;/p&gt;
Perspective of gold-bearing deposits in the ferruginous-siliceous formations of Egypt and Kursk Magnetic Anomaly

Banded ferruginous-siliceous formations (FSF) are confined to the Precambrian basement of the Arabian-Nubian Shield within the central part of the Eastern Desert of Egypt. Gold mineralization is spatially associated with banded ferruginous quartzite, representing one of the most ancient manifestations of gold ore. The Precambrian rocks are combined into deposits complex of the Neoproterozoic Pan-African megacycle of the territory development. Banded iron-silicate rocks occur in sedimentary-volcanogenic rocks that were formed in the subduction trough zones, and are represented by metamorphosed ferruginous quartzites, jaspilites and schists. FSF show tectonic dislocations, shear cracks, and fracture cracks made by gold-quartz-sulphide mineralization. Promising for the identification of gold-bearing mineralization in the rocks of the FSF can be iron-silicate deposits with the occurrence of epigenetic hydrothermal activity as a result of activation of the submarine volcanism of the tholeiitic type.
KONDISI MINIMAL IDEAL KIRI TERURUT PADA SEMIGRUP TERNER TERURUT PARSIAL

Ternary semigroups 𝑇 is obtained from a nonempty set 𝑇 that given a mapping with a multiplication operation ternary that satisfied closed and associative properties. So, generally a ternary semigroup is an abstraction of a semigroup structure. Meanwhile, partially ordered ternary semigroups 𝑇 is an ordered semigroup 𝑇 that satisfies the properties for each 𝑎, 𝑏, 𝑐, 𝑑 ∈ 𝑇 if 𝑎 ≤ 𝑏 then (𝑎𝑐𝑑) ≤ (𝑏𝑐𝑑) and (𝑑𝑐𝑎) ≤ (𝑑𝑐𝑏). In a ternary semigroups there is also concept of left ideals. This study was conducted to examine the characteristics of ordered left ideals on partially ordered ternary semigroups. Furthermore, it will be discussed about the characteristics of minimal ordered left ideals on partially ordered semigroups.Keywords : Ternary Semigroups, Ordered Ternary Semigroups, Left Ideals, Ordered Left Ideals, Minimal of Ordered Left Ideals.
Learning Effective Representations from Sparse Mutlimodal Data on Content Curation Social Networks

Content curation social networks (CCSNs), which provide users a platform to share their interests by multimedia information, are the most rapidly growing social networks in recent years. Since large-scale multimodal data have been generated by CCSN users, learning multimodal representations for contents have become the key to the progress of many applications such as user interest analysis and recommender system for curation networks. Learning representations for CCSNs faces a vital challenge: the sparsity of multimodal data. It is difficult for most existing approaches to learn effective representations for multimodal CCSNs because they didn't provide a solution on how to model sparse and noisy multimodal data. In this paper, we propose a 2-step approach to learn accurate multimodal representations from sparse multimodal data. First, we propose a novel Board-Image-Word (BIW) graph to model the multimodal data. Benefited from the unique board-image relation on CCSNs, embeddings of images and texts which endow semantic relations are learned from the network topology of the BIW graph. As the second step, a deep vision model with modified loss function are trained by minimizing the distance between the visual features of contents and their corresponding semantic relation embeddings to learn representations which incorporate visual information and graph-based semantic relations. Experiments on the dataset from Huaban.com demonstrate that under the circumstance of sparser text modality, our method significantly outperformed multimodal DBN, DBM and unimodal representation learning methods on pin classification and board recommendation tasks.
Correction to: Special issue on recommender system

On the title page, author Prof. Cecilia Mascolo should be removed. The mistake was caused by using an earlier unconfirmed version of guest editors for this special issue.
“428 Millions of Quadrilles for 5s. 6d.”: John Clinton's Combinatorial Music Machine

Quadrilles were a popular genre of group dancing in the nineteenth century. Existing melodies were normally used to accompany the dancing sessions, but the monotony of their repetition and the cost of a professional piano player capable of improvising were an issue. Thus, the idea of a “machine” that would be able to endlessly produce quadrille music at no cost was suggesting itself. The Quadrille Melodist, a paper-based system for the generation of piano pieces, was published in nineteenth-century Victorian London by John Clinton, a “professor in the Royal Academy of Music.” Already in 1650, Athanasius Kircher proposed in his Musurgia Universalis a device consisting of stripes with short snippets of music that could be used to create combinatorial pieces and variations. By the beginning of the nineteenth century, a whole genre of quasi-algorithmic compositions was emerging, spurred by the popularity of such works as the Musikalisches Würfelspiel, a piece attributed to Mozart. In this article, I analyze the Quadrille Melodist against the background of the history of combinatorial music. I contrast its unique features with other predigital, as well as later digital, music systems and discuss its design with respect to the phenomenon of predictability in dance music. Additionally, I discuss reasons for the circumstance that the historically advertised number of possible quadrilles, 428 million, is much smaller than the real number of combinations.
PEDAGOGICAL EFFICIENCY OF USING THE METHOD OF PHYSICAL MODELING

The physical models of the processes which are studied, play a special role in forming at students the fundamental basis knowledge. Simulation of physical phenomena and processes greatly facilitates mastering of educational material, conducting of experimental researches. However, the analysis of the educational process gives grounds to assert that the level of formation of basic knowledge and their strength in the high school do not meet the declared. Our studies have shown that in recent years there has been a significant decrease in the quality of teaching physics in institutions of general secondary education. Strength and quality of knowledge essentially depends on the level of formation of the physical model of the studied phenomenon. In connection with this, there is a need to develop a methodology for the formation of a qualitative model of the basic physical theories that are studied in the course of physics. In our study, conducted during the 2017-2019 academic years, we tested the pedagogical effectiveness of the proposed method for building strong basic knowledge based on the construction of imaginary physical models of processes and phenomena in high school students. Experimental training was conducted in general education institutions of the city of Berdiansk and Berdyansk region. In the experiment, at this stage, 86 students were enrolled. Students of the X-XI grades took part in the testing. Experimental and control groups were identified. By random sampling, a sample of 44 experimental students and 42 pupils of the control group was compiled from the students who participated in the experimental training. On the basis of the pedagogical experiment conducted by us, testing of the effectiveness of the proposed method for the formation of solid basic knowledge based on the construction of physical models of processes and phenomena in high school students leads to the conclusion that it is expedient. After all, there is a decrease of primary and secondary educational achievements of pupils by 39.5% and an increase of sufficient and high levels by 38.4%. Key words: theory and methods of teaching physics, pedagogical experiment, senior school, physical models, basic knowledge.
Integrity verification for an optimized cloud architecture

Cloud computing has significantly benefited todays environment of IT industry through its mobility, sustainability, security, cost savings and several other important features. The risk of data loss on cloud in case of dealing with hardware and software is relatively small. However, the issue of data security becomes imminent when we are storing personal data on the cloud which is not transparent to users. In this paper, we introduce a new entity in terms of a virtual machine that provides services and assurance beyond service level agreement (SLA). In the proposed model, a role of data handling and security is assured with association of third party auditor (TPA) by the virtual machine. We further demonstrate the applied technique for encryption, decryption and integrity verification modules. We also upgrade the entropy of the advanced encryption standard (AES) with a variant of secret sharing scheme in the environment of cloud simulator.
Optimalisasi Regresi Logistik Menggunakan Algoritma Genetika Pada Data Klasifikasi

Abstract— Classification on large of data, and with a variety of features or attributes often makes the law accuracy. It required a method that has immunity in such diverse data types. One of method is Logistic Regression method. Logistic Regression is one of classification method, if response variable has binary characteristic and there are many predictor variable such as combination of category and continue.Methd of Logistic Regression requires a stage selection independent variable in improving the model accuration. So it takes a good method in fixing the deficiency is Genetic Algorithm (GA). This method is an iterative method to get global optimum. The results of the classification accuracy of Logistic Regression in the case of septictank data in East Surabaya with 11 independent variables and binary dependent variable is Logistic Regression accuracy of 54.55%. However when selected with GA, the classification accuracy of Binary Logistic Regression is 90.91%.
Penerapan Artificial Neural Network Terhadap Identifikasi Wajah Menggunakan Metode Backpropagation

Backpropagation is one of the supervised training methods that causes an error in the output produced. Backpropagation neural networks will be carried out in 3 stages, namely feedforward from input training patterns, backpropagation from errors related to adjustment of weights. Updating the weight is done when the training results obtained have not been converged. The value of the goal error (MSE) is 0.0070579 which is achieved at epochs to 99994 from the provisions of 100000 iterations. Based on the plot regression, the training data resulted in a correlation coefficient value of up to 0.55321. The correlation coefficient value is concluded that the greater the R value produced, the better the level of accuracy in face identification carried out in this study
PENGENALAN DAN PENGEMBANGAN E-MODUL BAGI GURU- GURU SMAN 2 PADANG PANJANG

This society service was done in regard to request from teachers in SMAN 2 Padang Panjang who wanted to be given training on the development of e-module as one of innovative instructional materials that can be used in learning process and serves as a credit for career promotion as well. The designed e-module consisted of module components and was based on scientific approach suggested by curriculum 2013. E-module had interactive features with pictures, videos, hyperlinks, pop-up windows and interactive quizzes embedded. Data obtained from questionnaire and observation during training show that teachers were interested in e-module and wanted to use it in learning process. Teachers perceived e-module as instructional material having attractive design and one that could ease students to learn anywhere and anytime.
An Improved Active Sonar Automatic Tracking Method using Spatial Smoothing and PHD Filtering

For monostatic pulsed active sonar detection performance decreased under strange waters where targets and interferences were unknow. This paper proposed a pre-test automatic tracking method, on the one hand, by using spatial smoothing to extract targets' spatial continuity characteristics and reduce impact of random clutter, and on the other hand, by using probability density hypothesis (PHD) filtering to further filter out the clutter, at the same time output the estimation of underwater targets' state and number, and thus help to reduce detection false alarm rate and miss rate, improves performance of the active sonar actual use. In this paper, an improved active sonar automatic tracking framework is presented, and the method is verified by sea trial data.
The Development of Local Cultural Based Interactive Instructional Media in Learning English

The local cultural based interactive instructional media was developed to teach students in learning English independently with the content, exercise and evaluation connected to the local culture.This study aims to produce a proper local cultural based interactive instructional media and to know the effectiveness of the media.This study belongs to a research and development which uses the R&D model by Borg and Gall and combined with the instructional design model by Dick and Carey.The result of the validation and trial process shows that the developed interactive instructional media is in the criteria of very good.This result indicates that the media is proper to use in learning English.In the phase of effectiveness testing with quasi experimental method, the result shows that the local cultural based interactive instructional media is effective to improve the English learning outcome of students.The result of hypothesis testing indicates that there is a significant difference between the English learning outcome of students which were taught with a local cultural based interactive instructional media and the students which were taught with a presentation media Power Point.Therefore, the local cultural based interactive instructional media is proper and effective used in learning English.