Reviewerly/exHarmony huggingface dataset:
Effect of Grasping Uniformity on Estimation of Grasping Region from Gaze Data

This study explores estimation of grasping region of objects from gaze data. Our study distinguishes from previous works by accounting for "grasping uniformity" of the objects. In particular, we consider three types of graspable objects: (i) with a well-defined graspable part (e.g. handle), (ii) without a grip but with an intuitive grasping region, (iii) without any grip or intuitive grasping region. We assume that these types define how "uniform" grasping region is across different graspers. In experiments, we use "Learning to grasp" data set and apply the method of [Pramot et al. 2018] for estimating grasping region from gaze data. We compute similarity of estimations and ground truth annotations for the three types of objects regarding subjects (a) who perform free viewing and (b) who view the images with the intention of grasping. In line with many previous studies, similarity is found to be higher for non-graspers. An interesting finding is that the difference in similarity (between free viewing and motivated to grasp) is higher for type-iii objects; and comparable for type-i and ii objects. Based on this, we believe that estimation of grasping region from gaze data offers a larger potential to "learn" particularly grasping of type-iii objects.
DEVELOPMENT OF TEACHERS' DIGITAL COMPETENCE STANDARD IN MYKOLAYIV REGION

The article identifies the cognitive and functional components of the modern teachers’ digital competence. International standards of UNESCO (ICT-CFT), digital competence framework for citizens (DigComp 2.1 and DigCompEdu) and Norwegian digital competence framework for teachers (Professional Digital Competence Framework for Teachers) are analyzed in the article. Based on the analysis of European digital competency documents, five structural elements of the cognitive and functional components of digital competence have been identified (functioning in operating systems and office applications; digital technologies for communication, collaboration, self-development, Internet safety, searching, creating, promoting and using of digital resources; digital technologies in inclusive education; academic integrity and copyright). The weight of the structural elements and their components are determined by the method of expert assessment: functioning in operating systems and office applications, communication and collaboration, safety in the digital society, search and use of digital resources, creating and promoting own digital resources, information and ability to handle data, using digital technologies in inclusive education, integrity and copyright, the usage of licensed software. The above description of the functional and cognitive components of the modern teacher's digital competence is focused on the application in postgraduate teacher education as well as in non-formal teacher education and can be the basis for the curriculum development or the tool for assessing the teacher's digital competence. It is proved that the national digital competence standards development on the basis of the European digital competence framework, the creation of an appropriate legal basis, the development of regional training programs for teachers in the field of digital technologies contribute to the teachers' digital competence and their professional development.
Analyse des erreurs grammaticale aux temps passés les étudiants du département de français UPI de deuxième semestre année scolaire 2017/2018

&lt;p class="Abstract"&gt;In this research, we gave a grammar test to students of the second&amp;nbsp;&lt;span style="font-size: 1rem;"&gt;semester, in total 50 questions, with the type of test « Closure test » in&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;the matter of the passé composé and imparfait. Then, from the result of&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;this test, we analyze the grammatical errors made by the students. So,&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;this study entitled « Analysis of grammatical errors at past tenses by&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;the students of the department of French UPI of second semester&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;academic year 2017/2018 ». The purpose of this research is to&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;describe grammatical errors made by the student. The research&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;method used in this research is descriptive qualitative, and the&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;dataswere obtained from the analysis of test results. Based on the&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;analysis, we were able to conclude that the forms of errors are made&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;by students is the conjugation error, the usage of auxiliary error,&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;without the auxiliary, without agreement and error of the usage&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;between the passé composé and imparfait in complex sentences and in&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;a text. The main factor causing these errors is the neglect of students to answer questions and the lack of&amp;nbsp;&lt;/span&gt;&lt;span style="font-size: 1rem;"&gt;understanding of students to use the passé composé and imparfait in complex sentences and text.&lt;/span&gt;&lt;/p&gt;
ROLE OF THE “YOUNG PIONEER LEADER” MAGAZINE IN THE ACTIVITY OF YOUNG PIONEER WORKERS OF THE TATAR REPUBLIC IN 1924-1926

The article identifies the practical value of the first issues of the “Young Pioneer Leader” magazine for the Young Pioneer workers of the Tatar Republic. The author concludes that in the mentioned period, the “Young Pioneer Leader” was hardly understandable and unavailable for middle-level workers due to the small circulation, complicated financial situation, insufficient training of the leaders’ staff. “Young Pioneer Leader” publications were used by the chiefs of the Regional Young Pioneer Bureau, active Young Pioneer leaders while preparing reports, conducting courses, organizing the activity of Young Pioneer brigades.
INNOVATIVE EDUCATIONAL TECHNOLOGIES AS A BASIS FOR MODERNIZING THE METHODICAL PREPARATION OF THE FUTURE TEACHER OF MATHEMATICS

One of the most prioritized directions of modernization of methodical preparation of future mathematics teachers is the introduction of innovative educational technologies in the educational process of higher educational institutions. The article outlines the problem of modernizing the methodological preparation of the future teacher of mathematics through the introduction of research and creative learning technologies. The features of research learning technology (Inquiry Based Learning) and Go-Lab ecosystem opportunities for research learning are analyzed. A model of the Go-Lab research cycle with five main stages is described. The structure of the Go-Lab ecosystem with the components of the Go-Lab portal and the Graasp environment is presented. The Go-Lab portal contains a list of available virtual laboratories, applications that can be used to create research learning spaces. The Graasp environment is intended to create and use research learning spaces (Inquiry Learning Spaces – ILS). The implementation of the proposed approach is demonstrated on the example of the working of the research learning space "Ordinary fractions". It is noted that one of the innovative teaching technologies of future mathematics teachers КТЦОН Кt НОvОlШЩТЧР stuНОЧts’ skТlls ТЧ Мritical and creative thinking, autonomy and the formation of professional skills is the technology of creative learning called makerspace. It is established that the use of elements of makerspace in the methodical preparation of the future teacher of mathematics contributes to the formation of a teacher-innovator, a teacher-practitioner ready to introduce further the elements of STEM-education in the educational process of mathematics and capable of modernizing the educational environment in which students want to do something with their own hands, study with enthusiasm, be positive.
Multi-Scale Convolutional Neural Networks for Scene Recognition

In recent years, convolutional neural network (CNN) has performed well in a number of image classification tasks, but it hit a bottleneck on scene recognition task, due to the multilevel semantic information in a scene. This paper is dedicated to studying the deep learning methods in scene recognition task, and making contributes to improving the classification performance in the field of scene recognition, and an effective method that captures and fuses multi-level semantic information is proposed. First of all, we compare the differences between object classification task and scene recognition task in order to apply the successful replication of CNN in object classification task to scene recognition task after resolving the differences. Then we use a multi-scale learning method to capture different scale visual features at multiple levels. In addition, on the basis of multi-scale learning, we propose a method of feature fusion at the level of category, aiming to effectively combine different scale features. The experimental results show that the success of the object classification task can be applied to the scene recognition task by our method.
Fall detection for multiple pedestrians using a PCA approach to 3-D inclination

Aging populations in developing countries have driven increased research interest in issues related to “eldercare,” with a particular focus on early fall detection. This article describes an approach to processing images captured using a depth camera to predict the probable inclination of an imminent fall by a pedestrian. First, the 3-D object reconstruction method is explained and realized. Then, the 3-D object inclination analysis is given. Experimental results show prediction rates achieved accuracy up to 98.11%, making this approach promising for use in applications in hospital and home environments in the near future.
Recursive constructions of k-normal polynomials using some rational transformations over finite fields

Some results on the [Formula: see text]-normal elements and [Formula: see text]-normal polynomials over finite fields are given in the recent literature. In this paper, we show that a transformation [Formula: see text] can be used to produce an infinite sequence of irreducible polynomials over a finite field [Formula: see text] of characteristic [Formula: see text]. By iteration of this transformation, we construct the [Formula: see text]-normal polynomials of degree [Formula: see text] in [Formula: see text] starting from a suitable initial [Formula: see text]-normal polynomial of degree [Formula: see text]. We also construct an infinite sequence of [Formula: see text]-normal polynomials using a certain quadratic transformation over [Formula: see text].
46.3: Overcoming the challenges on the path to consumer AR headsets

SID Symposium Digest of Technical PapersVolume 50, Issue S1 p. 513-513 Technical Sessions: Session 46: AR/VR Systems and Devices (AR&VR) 46.3: Overcoming the challenges on the path to consumer AR headsets Zine Bouhamri, Zine Bouhamri Yole Développement, Lyon, FranceSearch for more papers by this authorEric Virey, Eric Virey Yole Développement, Lyon, FranceSearch for more papers by this authorPars Mukish, Pars Mukish Yole Développement, Lyon, FranceSearch for more papers by this author Zine Bouhamri, Zine Bouhamri Yole Développement, Lyon, FranceSearch for more papers by this authorEric Virey, Eric Virey Yole Développement, Lyon, FranceSearch for more papers by this authorPars Mukish, Pars Mukish Yole Développement, Lyon, FranceSearch for more papers by this author First published: 04 October 2019 https://doi.org/10.1002/sdtp.13546AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume50, IssueS1International Conference on Display Technology (ICDT 2019)September 2019Pages 513-513 RelatedInformation
Kidney Segmentation Framework using 3D CNN

Two 3D CNN was used to detect the location of kidney and separate kidney and tumor respectively. Network structureThe CNN structure we used is V-net [1].The left side of the network is divided in different stages that operate at different resolutions.Each stage comprises one to three convolutional layers.The convolutions performed in each stage use volumetric kernels having size 5 × 5 × 5 voxels.As the data proceeds through different stages along the compression path, its resolution is reduced.This is performed through convolution with 2 × 2 × 2 voxels wide kernels applied with stride 2 .Since the second operation extracts features by considering only non overlapping 2 × 2 × 2 volume patches, the size of the resulting feature maps is halved. Kidney detectionOne V-net was training using patches extracted from whole CT images.In testing stage, it was used firstly detect where are the kidney. Kidney and tumor segmentationAnother V-net was training using patches extracted around kidneys.In testing stage, it was used to separate kidney and tumor based on previous detection.
Structure Characteristic-Aware Pruning Strategy for Convolutional Neural Networks

Convolutional Neural Networks have received considerable attention over the past few years, and they are widely used in various fields. However, the computational complexity and excessive storage space caused by over-parameterized of these networks are also being serious. This will limit further development of deep learning in resource-constrained devices such as the mobile terminal. It has been proposed that pruning is a useful method to optimize networks, whereas there is no contribution focus on utilizing the traits of the network to guide pruning. The primary purpose of this paper is to research the different effects of layers with varying depth and the different number of parameters during the pruning process. By taking advantage of the characteristics of network structure itself, we propose a new pruning strategy with three variants to effectively prune CNNs which can automatically determine the most appropriate sparsity for each conv-layer. Using iterative pruning and retraining, we evaluated our strategy on InceptionV3 and ResNet50. We analyzed our three variants and made a comparison between each other.
Synthesis Method for Path Generation of a Planar Four-bar Mechanism Based on the Wavelet Feature Parameters

Abstract：Wavelet function can extract the feature information of function curve in different scales.Based on the wavelet transform theory, a coupler curve generated by planar four-bar mechanism is decomposed to wavelet coefficients.A normalised process is proposed for extracting wavelet feature parameters.Then a description method for coupler curve of planar four-bar mechanism is established using wavelet feature parameters.The eleven dimensional open path synthesis problems are transformed to six basic dimensional types searching problems.A database is established, which contains 3 004 281 900 groups of dimensional types.The dimensional types are decomposed by using multidimensional search tree and an index keyword database is established.The leaf node which contains the desired mechanism can be obtained.A self-adaptive atlas database is established.Based on the design requirements, the desired mechanism can be obtained by comparing the similarity of wavelet feature parameters between the prescribed curve and the coupler curve in the self-adaptive atlas database.According to the internal relationship of wavelet coefficients, the actual sizes and installation positions of the desired linkage can be calculated.The arbitrary relative rotation interval open path synthesis is realized.Two examples are presented to demonstrate the effectiveness of the method proposed.Particularly, a roller feed mechanism for roller hemming is designed and manufactured to verify the validity and practicality of this method.The design results provide new ideas for the roller hemming.Key words：wavelet feature parameters；planar four-bar mechanism；multidimensional search tree；self-adaptive atlas database； open path synthesis
Avoidance-Arrival Control for Mechanical Systems Under Constraint-Following

An unprecedented dual avoidance-arrival problem is addressed for uncertain mechanical systems. The concerned system uncertainty is (possibly fast) time-varying but within an unknown bound. The objective is to design a control to simultaneously guarantee two seemingly opposite system performance: avoidance (with respect to a region) and arrival (with respect to another region). This is formulated as an approximate constraint-following problem by dividing the desired constraint into the avoidance constraint and the arrival constraint. An adaptive robust control is then put forward, with which the avoidance constraint is completely followed and the arrival constraint is closely followed; hence, the dual avoidance-arrival problem is solved.
Moving from local server to cloud service using Microsoft Azure

Abstract Nowadays, applications play an important role in our life. In particular, online applications are widely used through the Internet. Consequently, one of the issues that software developers are facing, is to get an application online. Application deployment is making an application available for use. In order to satisfy this purpose, a server is needed. Cloud servers are one of the solutions which have lots of advantages comparing to physical servers. In the first place, hardware or capital expenses are not required. It is a good choice for smaller businesses that are outgrowing storage very fast. In addition, storage can be added as required. Therefore, you only pay for what you need. Finally, data can be backed up in the cloud as regularly as 15-minute intervals, minimizing data losses in disaster situations. Small data set recovery time is improved. However, not all aspects of the cloud server are positive. There are also some disadvantages as well. For example, If the Internet goes down on your side or on your cloud provider’s side, you won’t have access to your information. In this thesis, we had in mind to move a project from local to the cloud using Microsoft Azure so that there would be no need for any physical server, DB, and so on, and everything would be done through web services. To this end, we had to move from local servers to service. In order to use this service, we had to upgrade the project from .Net framework to .Net core. It was needed to change the project in a way that makes it possible to use Azure. It was needed to upgrade the libraries to .NET Standard. In this way, we were able to continue using them from all our current projects, whether they target .NET Core or .NET Framework. Then we had to upgrade the projects to use frameworks that are compatible with .NET Core. Because we are using ASP.NET MVC and ASP.NET Web API, this involved migrating to ASP.NET Core. Finally, we had to upgrade the projects to use .NET Core. If there were some APIs that were unsupported, we needed to migrate to an alternative. In some cases, this was a different, newer API, which was already part of .NET Core. In other cases, we needed to use an external library that adds the missing functionality. Also, if there were some libraries that do not support .NET Core, we either needed to upgrade them, find replacements, or use them in compatibility mode. Next step was to upgrade the database from SQL to Azure SQL database. In Azure, not all functions, synonymous or other things are permitted. If our DB was using them, we had to remove and change these parts. After the upgrade process, some steps had to be done. In the first place, it was essential to create a cloud service app in .NET. Then a SQL Database in Azure had to be created. Furthermore, we had to connect a .NET Core app to SQL Database. After that, we deployed the app to Azure. Sometimes it is needed to update the data model and redeploy the app. Then it is possible to get stream diagnostic logs from Azure. Finally, we could manage the app in the Azure portal.
Improvement of Learning Environment for Research Project at Geographically Distributed High Schools

This paper reports a learning environment of research project at geographically distributed high schools in the University and High School collaboration program. We developed a learning environment that supports planned progress in a research project, detailed guidance on technical issues, provision of common rubrics, and exchange with students of other high schools. After a one-year trial for two high schools, we evaluated the effectiveness of the learning environment for students and teachers in the high schools.
Research on Automatic Classification Method of Footwear Under Low Resolution Condition

On the basis of the shoe prints left by the suspects at the crime scene, it can be inferred that the specific type of shoes worn by the suspects, and then the type of suspected shoes can be searched in the monitoring around the crime scene, which is a common investigative technique used by public security organs. However, this technique is less automated and intelligent, and in most cases, the shoes under video monitoring are small and mostly fuzzy. An automatic classification method of footwear for pedestrians under low resolution video monitoring is proposed. A footwear database has been constructed with 149,199 footwear images; Then, based on the convolutional neural network, a network model suitable for automatic footwear classification is designed. The experimental results show that the accuracy of the automatic footwear classification network model in the test stage is up to 98.47%.
Cognitive Dichotomies, Learning Directions, and the Cognitive Architecture

Abstract Within the human mind, are there multiple, qualitatively different systems? Are there different processes of learning and performance that have radically different characteristics? If so, what are these? How do they differ from each other? How do they interact and integrate? There have been various speculations in this regard, often centered on two (or more) interacting systems within the human mind. This chapter reviews arguments in favor of two-system views and discusses the interaction and integration of the two systems in terms of different learning directions going from one system to the other. It also outlines the overall cognitive architecture that encompasses and structures these aspects.
Design and Implementation of Real-Time Inquiry System of the Stock Market

Nowadays, the development of Internet finance is in full swing. The application of the Internet will certainly play a vital role in the rapid changing stock market, such as inquiring the stock market, analyzing the trend of stock, and investing the stock market. And this is the original intention of the design of this system. The design and implementation of the real-time stock inquiring and displaying system will be introduced explicitly. To be specific, this paper will contain the summary of technologies, demand analysis, system design, system implementation, data storage, system testing, and conclusion. Combined with Hadoop and data visualization technology, the system uses the technologies of JavaEE, AJAX, and JQuery, achieving the inquiry and display of the stock market. Utilizing spiral incremental development, the system is developed iteratively by four phases, which are requirement definition, risk analyzing, engineering achievement, and evaluation.