Reviewerly/exHarmony huggingface dataset:
APPLYING THE INTEGRATIVE APPROACH IN THE PROCESS OF FORMING FUTURE PRIMARY SCHOOL TEACHERS’ FOREIGN LANGUAGE COMMUNICATIVE COMPETENCE

&#x0D; &#x0D; &#x0D; The article deals with proving the advantages of multi-subject integrated training. It was defined the importance of taking into account the theoretical and methodological foundations of using an integrative approach in the process of forming future primary education teachers’ foreign language communicative competence. It was determined the specifics of conducting integrated courses, practical classes, including binary ones, in order to implement the professional training of future primary school teachers according to time requirements. The integration principle corresponds to the mental and physiological nature of the individual, through integration of a person-centered approach to training, as the student is able to choose basic knowledge and skills in different subjects and to apply them in practice.&#x0D; &#x0D; &#x0D;
On the DSA Key Recovery Attack with Variable Partial Nonces Known

The security of Digital Signature Algorithm is based on the proven hardness of the number theoretic problem of discrete logarithm. However, in practice, this public key based digital signature algorithm is prone to side channel based attacks. In this work, we consider the cryptanalysis of Digital Signature Algorithm, when partial information on ephemeral keys can be obtained. We present a variant of the existing lattice based cryptanalytic method for DSA and further extend our work by analysing the scenario when variable number of least significant bits per ephemeral keys are known for a set of signatures pertaining to a signatory.
Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives

The recently proposed Semantic Learning Machine (SLM) neuroevolution algorithm is able to construct Neural Networks (NNs) over unimodal error landscapes in any supervised learning problem where the error is measured as a distance to the known targets. This chapter studies how different methods of dynamically using the training data affect the resulting generalization of the SLM algorithm. Across four real-world binary classification datasets, SLM is shown to outperform the Multi-layer Perceptron, with statistical significance, after parameter tuning is performed in both algorithms. Furthermore, this chapter also studies how different ensemble constructions methods influence the resulting generalization. The results show that the stochastic nature of SLM already confers enough diversity to the ensembles such that Bagging and Boosting cannot improve upon a simple averaging ensemble construction method. Finally, some initial results with SLM and Convolutional NNs are presented and future Deep Learning perspectives are discussed.
Human Outline Reconstruction in Depth Prediction

Fully Convolutional Residual Network (FCRN) has already become one of the most significant models for depth map prediction. It has achieved high quality results but has problem in reconstructing the human outline. On this basis, we present our method, the purpose of which is to reinforce human reconstruction in depth prediction. Our main idea is to merge Mask R-CNN with FCRN, so we present our modified FCRN. Our modified FCRN, which can also be regarded as an improvement of FCRN through Mask R-CNN, is designed on the basis of attention mechanism and optimized on the basis of transfer learning. It needs to work with the original FCRN. For a single RGB image, first of all, Mask RCNN receives it as input and generates the mask images for the “person” instances. Then, the input image and the mask image are fed jointly to our modified FCRN which can give a new result in generating the depth map. After that, we present a depth filter to combine the raw result given by the original FCRN with the new result given by the modified FCRN. Our final result is generated through the depth filter. Both the image result and the metric result given by our experiment can illustrate that our method has the ability to improve the performance of FCRN in human outline reconstruction through Mask R-CNN.
Phonetic Issue in the Process of Foreign Students Adaptation: Implementation and Perception of the Russian Word Stress by Tajik Speakers

A lot of people from foreign countries come to St. Petersburg to study and work. As practice shows, a linguistic issue is one of the most vital for the process of foreign students adaptation. The study of difficulties associated with the manifestations of phonetic interference is an important research topic as the results will facilitate the process of adaptation and teaching Russian as a second language. This article considers the manifestations of phonetic interference in the speech of Tajik speakers on the example of errors associated with the implementation and perception of word stress. Auditory, instrumental and perceptual experiments were conducted on the material of spontaneous speech and reading of 32 speakers (total duration of the recordings is 294 min). The results of this research show that Tajik speakers do not make mistakes in word stress realizations systematically, but they do not understand what is a ‘word stress’ in the Russian language. When teaching the Russian language as a foreign language to Tajiks, it is also necessary to consider the influence of the tonal component of stress and to conduct training in the implementation of word stress in a complex together with intonation.
Design Thinking Approach in Planning E-commerce for Domestic Plumbing Services

Globally, design thinking in E-commerce has captured the attention of business, small and medium enterprises, government officials, academics, and the greater public. It advanced convenience to the customers in purchasing products and services. It also created new opportunities and challenges for all stakeholders in delivering products and services to the customers. As increasingly products and services sold over the Internet, it becomes all the more important to build up knowledge of design thinking in e-commerce. Also, to sustain in the competitive market, the process of planning e-commerce should involve integrated perspectives of strategic management, information system, and entrepreneurship. This study discusses the Design Thinking approach in planning e-commerce from multi-perspective. It illustrated the application of design thinking through stakeholder mapping, service blueprint, data flow, and wireframe techniques in planning e-commerce with the practical case of domestic plumbing services. This study would act as guidelines for service providers, designers, developers, and project managers for implementing e-commerce business models. It would finally contribute to design for development.
LITERASI REFERENSI ILMIAH DI PERGURUAN TINGGI : KONSEP DAN MANFAATNYA DALAM MEMBANTU MAHASISWA DALAM MENULIS DAN MEMPUBLIKASIKAN KARYA ILMIAH

The digitalization of scientific reference sources has moved library collections into the virtual realm, in the form of online databases. Thus bringing up new studies in the field of information literacy. This study aims to develop the concept of scientific reference literacy based on user perceptions in college, and measure the needs and benefits for students. The concept was given in the form of training for Andalas University graduate students. To see the effect before and after the training participants were asked to fill out a questionnaire, related to their understanding of the sources of scientific references, and their perceptions of the training material, as well as the benefits they felt. The results of the study showed that before the training they still had difficulty in finding and obtaining reference sources for writing the final project. The concept of online reference literacy given to them turned out to be very useful in increasing their understanding of scientific reference sources in supporting research or writing and publication of scientific papers. In conclusion, although students currently belong to the native digital generation, who are already familiar and adept at using information technology. However, they still need guidance in utilizing scientific reference sources. They must be guided from the first year students. The college must provide a specific time allocation for this training, which is followed by periodic writing of scientific papers by the librarian to ensure that the material presented at the training can be well understood by the participants.
A Study on Music Appreciation for Adolescent's Emotional Development

본 연구는 청소년의 정서발달을 위한 음악감상 지도방안을 개발하는 데 그 목적이 있다. 청소년기는 정서를 처리하고 조절하는 데 어려움을 겪을 수 있는 시기이며, 이 시기 정서 교육은 청소년의 정서적 안녕과 사회성 발달에 매우 중요하다. 음악감상은 정서에 직접적인 영향을 미치기 때문에 정서를 인식하고, 명명하고, 조절하는 데 효과적인 도구로 사용될 수 있다. 본 연구에서는 먼저, 청소년의 정서발달과 음악감상에 대한 이론적 배경을 살펴보고, 다음으로 청소년의 정서발달을 위한 음악감상 수업모형과 지도방법을 제시하고, 마지막으로 청소년의 정서발달을 위한 음악감상 지도방안 예시를 드뷔시의 『달빛』을 바탕으로 제시하였다.The purpose of this study is to develop a music appreciation teaching strategy for adolescent s emotional development. Adolescence is a period of difficulty in handling and controlling emotions. Thus, emotional education during this period is significant for adolescents to be emotional well-being and socially adaptive. Since listening to music has a direct effect on emotion, it can be used as an effective tool to aware, label, and regulate emotions. In this study first, the theoretical background of adolescent s emotional development and music appreciation is examined. Then, the music appreciation instructional model and teaching methods for adolescent s emotional development are presented. Lastly, an example of a lesson plan was presented based on Debussy s ‘Moonlight’.
Novel Approach of Computing Optimal Placement of Solar Panel Using Augmented Reality

Today, solar energy is the widely used renewable source of energy in industries, urban and rural areas. Solar panels are used for the generation of solar energy. Solar panel absorbs the sunlight and converts it into the usable solar energy. For the installation of solar panels, a technician visits the location, marks all the measurements and obstructions along with its scaling and then feeds these measurements to develop the model structure. Then shadow analysis is performed and then the placement of the solar panels is calculated. To achieve best efficiency, the technicians have to visit the location several times which increases the labor cost and the computational time. So to automate this survey process, we have developed an Android application called “SolAR Assistant” using which any user can mark the measurements of the location in the augmented reality view. Then, we have developed heatmap generation algorithm to compute the optimal placement of solar panels based on shadow analysis. Finally, augmented view of the optimal placement of solar panels is generated.
Agile Management Versus Budget Control: Learn How to Win Both with Slick-Farm

Slick® is a disruptive agile methodology based on Agile Scrum that offers clear and quantitative insight into any kind of innovative project. Thanks to the three main Slick® indexes, even non-technical managers can understand the progress of a project and define strategies to keep it on-track. We created the serious game Slick-farm to get through to Slick® and its benefits. We used the lean start-up methodology to create the game, we run through three different MVPs and we pivoted the wrong hypotheses based on feedback collected in the trial workshops. Applications of Slick Farm shows that the game is effective to communicate the benefit coming from Slick® as an Agile methodology used in an uncertain context and, even more, as a way of actively manage strict budget and risk control without losing in “agility”.
Keeping Passwords In Your Pocket: Managing Password Locally With Mobile Fingerprint Sensors

Password managers allow users to use strong and unique passwords online. However, users have to either trust a third-party service to manage their passwords or manually synchronize passwords among local devices. To relax the trust assumption while maintaining usability, in this work, we develop a password manager that stores passwords on mobile phones. The passwords can be easily unlocked via the user’s fingerprint and securely sent to other devices such as a desktop browser. Our implementation uses the iOS local authentication API for biological authentication, and uses firebase cloud messaging to send the password to the browser.
HEALTH PROVIDING ORIENTATION OF THE EDUCATIONAL ENVIRONMENT OF THE UNIVERSITYAS A FACTOR IN THE FORMATION OF METHODOLOGICAL LITERACY

The article dwells upon the necessity of the usage of the university educational environment in order to formthe methodological literacy of students, taking into account the environmental health-providing orientation.It specifies the definition of the University educational environment and the main features of a methodologicallyliterate person in the context of the orientation of the educational environment. The author reveals opportunitiesof a healthy living for an effective formation of the methodological literacy of future specialists.The conclusions present health-forming technologies of physical education as optimal factors of the formationof students’ methodological literacy, which are constructively available for change within the University.
AN ACCURATE POWER CONSUMPTION MODEL FOR CLOUD COMPUTING DATA CENTRES

Power consumption of cloud data centres has received significant consideration as of late as data centres often consume significant amount of power in their operations.Several studies for reducing power consumption have been performed.Most of the existing power models focus only on the power consumed by the CPU.However, this may lead to inaccuracy as other major power consuming components have not been taken into consideration.This paper proposes a new power model which combines for the first time as we know, three power consuming components referred to as memory, disk and CPU.The model has been extensively studied through multiple simulation scenarios.From the simulation results, one may notice that CPU consumes a huge portion of the total resource power.Nevertheless, memory and disk show a significant power consumption.Therefore, memory and disk cannot be neglected.
User-Based Personalized Text Summarizer

This paper focuses on a very simple yet an issue of utmost importance in today’s fast-paced life. Since the dawn of the Internet, there have been billions of resources that are now easily available. This abundant volume of text is an invaluable source of knowledge which includes a variety of blogs, articles and technical papers that need to be effectively summarized. We need to find a way to condense this available data while keeping the semantics into consideration and the information it provides. Different users interpret the text differently. Our model enables end user, viz. teachers, students, foreign language students and author, and generates a summary that is more suitable to the type of user. To evaluate the quality of the summarized document and to provide the user with a precise summary, we have used a custom metric merging ROUGE-N and GLEU.
Learning Beyond Dataset By Combining Machine Learning With Knowledge Engineering

Knowledge Engineering and Machine Learning are both established fields but each is different in its own way. While knowledge engineering focuses on human knowledge based on few specific data points, Machine Learning uses many data points to gain the specific knowledge. In this work, we hypothesize that Knowledge Engineering when combined with Machine Learning performs better. We prove this hypothesis by adopting dual strategy of augmenting a dataset i.e. knowledge enrichment and knowledge integration. In the experiments that we conduct (text classification and clustering), we find that the knowledge integration that uses joint embedding performs better than knowledge enrichment. This work proves that existing machine learning tasks should be revisited with knowledge augmentation strategies.
An Overview of Neural Network Architectures for Healthcare

In the last decade, there has been a tremendous improvement in healthcare delivery. Several healthcare organisations are taking advantage of machine-learning techniques to provide healthcare at an affordable rate. Artificial Neural Networks (ANN) is a machine-learning technique which has been widely used in the public healthcare in managing decisions. From prescription using Electronic Healthcare Record (EHR) to the use of demographic data to predict the propensity of a disease, the combination of ANN and deep learning techniques has been used to improve the reliability of predictions in healthcare. In this paper, a review of artificial neural network architectures is presented. We explore the benefits of ANN in healthcare and discuss some of the architectures of ANN. Different from under reviews, we look at the challenges and possible solutions in the deployment of ANN architectures in healthcare delivery.
Joint Object Detection and Depth Estimation in Multiplexed Image

This paper presents an object detection method that can simultaneously estimate the positions and depth of the objects from multiplexed images. Multiplexed image [28] is produced by a new type of imaging device that collects the light from different fields of view using a single image sensor, which is originally designed for stereo, 3D reconstruction and broad view generation using computation imaging. Intuitively, multiplexed image is a blended result of the images of multiple views and both of the appearance and disparities of objects are encoded in a single image implicitly, which provides the possibility for reliable object detection and depth/disparity estimation. Motivated by the recent success of CNN based detector, a multi-anchor detector method is proposed, which detects all the views of the same object as a clique and uses the disparity of different views to estimate the depth of the object. The method is interesting in the following aspects: firstly, both locations and depth of the objects can be simultaneously estimated from a single multiplexed image; secondly, there is almost no computation load increase comparing with the popular object detectors; thirdly, even in the blended multiplexed images, the detection and depth estimation results are very competitive. There is no public multiplexed image dataset yet, therefore the evaluation is based on simulated multiplexed image using the stereo images from KITTI, and very encouraging results have been obtained.
Design and Development of Wizardry Gauntlet

Gesture-based language is a unique methodology for communication among conventional and hearing-impaired. Nevertheless, people see an issue in human activity with standard people who don't understand their signing. In this manner, they ceaselessly feel a barrier to remove this boundary. This paper proposes a device that would convert hand signals of nonconventional persons into voice so that an individual can understand their gestures. The proposed device will help nonconventional people to represent their thoughts. Internet of Things (IoT) and Machine Learning (ML) algorithms have been used for the betterment of the system. The proposed methodology consists of two sides: transmitter side and receiver side. The transmitter side is responsible for sending electrical signals wirelessly through Arduino combined with Radio Frequency (RF) transmitter and flex sensors connected through wires. On the receiver side, Global System for Mobile Communication (GSM), RF receiver, Liquid Crystal Display (LCD) and Arduino are used to receive the electrical signals and display the output on the screen.The proposed system allows the person to send or monitor the health condition of the user during their critical time and have made the communication process wireless. Also, the output through the system would surely help in transitioning day-day life decision making of non-conventional people.
Education 4.0: Android-based application for Teaching English to Polytechnic Students

Responding to the needs of Industry 4.0, a new paradigm arises: Education 4.0, whichis keeping up with the potential of digital technologies and mobile learning. The focus is now shifting to the use of the Android platform as it is widely used by today’s college students. The researchers developed an Android-based 'Technical English' application to support English teaching and learning process in Shipbuilding Institute of Polytechnic Surabaya. This application is also equipped with attractive visual images, dictionary and menu designed specifically for each study program. The software used in this research is ReactNative and its development method is based on the System Development Life Cycle (SDLC) prototyping model. The result shows that the application has positive orientation in terms of ease of use, design, materials, and learning improvement. This also proves that Technical English app is good to be applied in English classes as it can motivate students to learn English and improve their skills.
Ontologies and use case based planning of content delivery

This papers objective was the development of an ontology-based Content Delivery Portal (CDP) in combination with use cases. The aim was to find out how to enrich content in general through an ontology and to investigate the added value of ontologies. In particular, it has been researched how content can be delivered in CDP via an ontological context. The focus of the research team was on the knowledge builder of the ontology system manufacturer i-views for modelling the ontology and embedding content. Furthermore, the research team planned a CDP and implemented the model in the CDP i-views content . To accomplish this, use cases for users in the context of smart homes were developed to derive which information users want and when and how to grant access to the desired content. The implementation in the CDP was fully based on the ontology which was developed over the course of the project. Although the research team presumes that part of the implementation could have been realised with metadata from a CMS, the ontology can be used to provide context information that goes beyond the metadata that is traditionally assigned to individual topics in a CMS.
Actualization and Integration of Scientific Knowledge in School Practice Activity

The article proposes a solution to the problems related to the formation of students’ readiness to implement and integrate scientific knowledge into their pedagogical activity. The authors state that in the motivational environment of teaching practice, along with integration, ‘mental convergence’ takes place. Mental convergence is a mental rapprochement between the members of the educational community, such as students and their parents as well as staff of educational institutions, promoting the development of motivation of future teachers. Perfect conditions for knowledge and skills integration are created by application of modern interactive technologies in the multimedia educational environment of the Internet era. The experimental work, including the teaching practices of the 2016/17 and 2017/18 academic years, has been conducted in three stages. In 2019, in the final (third) stage, a master-class was organized in the form of a methodological seminar. Surveys, interviews, pedagogical observation, and testing of students were conducted in order to define the reasons for the students’ reduced motivation to work as teachers. Pedagogical practice is a complex process presented as a condition for theoretical knowledge integrating in pedagogical activity at substantive and procedural levels. The authors are convinced that in the motivational environment of pedagogical practice, along with scientific knowledge actualization and integration, ‘mental convergence’ (Gershunsky) of subjects of the educational community takes place, which is embodied in future teachers’ skills to work with children.