Reviewerly/exHarmony huggingface dataset:
Group Animation Motion Capture Method Based on Virtual Reality Technology

In order to improve the group animation motion capture effect and enhance the design technology of group animation, this paper studies the method of group animation motion capture combined with virtual reality technology. This paper constructs a crowd motion capture system based on virtual reality technology and describes the attributes by organizing crowd profiles of different levels and structures. Moreover, this paper conducts collaborative modeling of multiple attributes and constructs a model based on structured interactive attributes. The strength of the model is that it takes into account scene scale, chaos, and crowding properties to effectively characterize the potential interactions of group movement patterns. Combined with the simulation research, it can be seen that the group animation motion capture method based on virtual reality technology proposed in this paper can play an important role in group animation motion capture and animation design.
Unextendible Entangled Bases With a Fixed Schmidt Number Based on Generalized Weighing Matrices

We systematically study the constructions of unextendible entangled bases with a fixed Schmidt number k (UEB k ) in a bipartite system <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m1"><mml:msup><mml:mrow><mml:mi mathvariant="double-struck">C</mml:mi></mml:mrow><mml:mrow><mml:mi>d</mml:mi></mml:mrow></mml:msup><mml:mo>⊗</mml:mo><mml:msup><mml:mrow><mml:mi mathvariant="double-struck">C</mml:mi></mml:mrow><mml:mrow><mml:msup><mml:mrow><mml:mi>d</mml:mi></mml:mrow><mml:mrow><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:msup></mml:math> . Motivated by the methods of [J. Phys. A 52 : 375,303, 2019], we construct ( dd ’ − v )-member UEB k s in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m2"><mml:msup><mml:mrow><mml:mi mathvariant="double-struck">C</mml:mi></mml:mrow><mml:mrow><mml:mi>d</mml:mi></mml:mrow></mml:msup><mml:mo>⊗</mml:mo><mml:msup><mml:mrow><mml:mi mathvariant="double-struck">C</mml:mi></mml:mrow><mml:mrow><mml:msup><mml:mrow><mml:mi>d</mml:mi></mml:mrow><mml:mrow><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:msup></mml:math> by using generalized weighing matrices and thus generalize the results of [arXiv: 1909.10043, 2020]. We also present the corresponding expressions of our constructions and graphically illustrate UEB3s in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m3"><mml:msup><mml:mrow><mml:mi mathvariant="double-struck">C</mml:mi></mml:mrow><mml:mrow><mml:mn>5</mml:mn></mml:mrow></mml:msup><mml:mo>⊗</mml:mo><mml:msup><mml:mrow><mml:mi mathvariant="double-struck">C</mml:mi></mml:mrow><mml:mrow><mml:mn>6</mml:mn></mml:mrow></mml:msup></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="m4"><mml:msup><mml:mrow><mml:mi mathvariant="double-struck">C</mml:mi></mml:mrow><mml:mrow><mml:mn>6</mml:mn></mml:mrow></mml:msup><mml:mo>⊗</mml:mo><mml:msup><mml:mrow><mml:mi mathvariant="double-struck">C</mml:mi></mml:mrow><mml:mrow><mml:mn>6</mml:mn></mml:mrow></mml:msup></mml:math> .
An Overview of Heterogeneous Information Networks based on Recommendation System

Heterogeneous Information Networks (HINs) provide a natural way to represent different relationships among entities of different kinds, as a consequence they are valuable in many domains. Analysing and extracting understanding from HINs normally is based at the idea of meta paths, which are paths in the community schema denoting family members of different semantics among entities. Moreover, real-global HINs are frequently extremely big, containing thousands and thousands of nodes and edges. Therefore, exploring and analysing HINs not only requires interdisciplinary knowhow, having the ability both to interpret and pick out suitable meta paths inside the network, but additionally to run the analysis in an efficient and scalable manner. However, there may be a loss of tools to facilitate this assignment. Most real system include a huge wide variety of interacting, multityped components, while most current researches version them as homogeneous networks, without distinguishing different forms of objects and links in the networks. In recent years, an increasing amount of works have been proposed to present helper data in recommender system to alleviate information sparsity and cold-start issues. Among them, heterogeneous information networks (HIN)- based recommender systems give a brought together way to deal with meld different helper data, which can be joined with standard suggestion calculations to successfully upgrade the presentation and interpretability of models, and accordingly have been applied in many kinds of recommendation tasks. This paper gives a far reaching and efficient overview of HIN-based recommender systems, including four perspectives: ideas, strategies, applications, and resources.
Assemble geo-analytical questions through a Blockly-based natural language interface

Abstract. Natural language Interfaces (NLIs) have the ability to make Geographic Information Systems more accessible for interdisciplinary researchers or any inexperienced users. However, the majority of research on NLIs for GIS explored NLIs for visualization or spatial data retrieval. Research on NLIs for geo-analytical questions is still lacking. Google Blockly, an open-source JavaScript library, is frequently used for developing visual programming editors for young students learning programming languages. Students set up program functions by selecting and assembling the programming blocks and the Blockly system automatically translates the block stacks into different programming languages. Similarly, we present a Blockly-based interface that generates a question depending on the blocks the user has assembled. It can be seen that a Blockly-based interface not only naturally represents syntactic structures in geo-analytical questions but also well assists users in familiarizing the blocks and generating clear and complete questions. A comprehensive usability study is still necessary to better evaluate the interface’s performance.
Hybrid physics‐neural network soft sensors for the dynamic operation of liquid‐liquid separators

Chemie Ingenieur TechnikVolume 94, Issue 9 p. 1355-1355 Poster Hybrid physics-neural network soft sensors for the dynamic operation of liquid-liquid separators S. Zhai, Corresponding Author S. Zhai song.zhai@avt.rwth-aachen.de RWTH Aachen University, Fluid Process Engineering, Forckenbeckstr. 51, 52074 Aachen, GermanyCorrespondence: S. Zhai (song.zhai@avt.rwth-aachen.de), RWTH Aachen University, Fluid Process Engineering, Forckenbeckstr. 51, 52074 Aachen, GermanySearch for more papers by this authorM. Velioglu, M. Velioglu Forschungszentrum Jülich GmbH, IEK-10: Energy Systems Engineering, Wilhelm-Johnen-Straße, 52428 Jülich, GermanySearch for more papers by this authorS. Sibirtsev, S. Sibirtsev RWTH Aachen University, Fluid Process Engineering, Forckenbeckstr. 51, 52074 Aachen, GermanySearch for more papers by this authorM. Dahmen, M. Dahmen Forschungszentrum Jülich GmbH, IEK-10: Energy Systems Engineering, Wilhelm-Johnen-Straße, 52428 Jülich, GermanySearch for more papers by this authorA. Jupke, A. Jupke RWTH Aachen University, Fluid Process Engineering, Forckenbeckstr. 51, 52074 Aachen, GermanySearch for more papers by this author S. Zhai, Corresponding Author S. Zhai song.zhai@avt.rwth-aachen.de RWTH Aachen University, Fluid Process Engineering, Forckenbeckstr. 51, 52074 Aachen, GermanyCorrespondence: S. Zhai (song.zhai@avt.rwth-aachen.de), RWTH Aachen University, Fluid Process Engineering, Forckenbeckstr. 51, 52074 Aachen, GermanySearch for more papers by this authorM. Velioglu, M. Velioglu Forschungszentrum Jülich GmbH, IEK-10: Energy Systems Engineering, Wilhelm-Johnen-Straße, 52428 Jülich, GermanySearch for more papers by this authorS. Sibirtsev, S. Sibirtsev RWTH Aachen University, Fluid Process Engineering, Forckenbeckstr. 51, 52074 Aachen, GermanySearch for more papers by this authorM. Dahmen, M. Dahmen Forschungszentrum Jülich GmbH, IEK-10: Energy Systems Engineering, Wilhelm-Johnen-Straße, 52428 Jülich, GermanySearch for more papers by this authorA. Jupke, A. Jupke RWTH Aachen University, Fluid Process Engineering, Forckenbeckstr. 51, 52074 Aachen, GermanySearch for more papers by this author First published: 25 August 2022 https://doi.org/10.1002/cite.202255214AboutPDF 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 onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume94, Issue9Special Issue: (Bio)Process Engineering – a Key to Sustainable Development: ProcessNet and DECHEMA-BioTechNet Jahrestagungen 2022 together with 13th ESBES SymposiumSeptember 2022Pages 1355-1355 RelatedInformation
Organizing, Managing, and Parameterizing Queries

Producing a robust and efficient data query is not just about finding the appropriate load and transform functions and placing them in the correct sequence. It is also about extending, adjusting, and maintaining the process. This can be either to correct an error once the query is being tested or to adapt a query to new requirements. This chapter will introduce you to some of the techniques that you can apply to handle the various stages of the query life cycle.
User Experience Design of University Schools’ Web Portals: Comparative Analysis of Stateowned Technical Faculties in Serbia

In aim to improve information service to students and all university schools information stakeholders, it is very important to make and maintain institutional web portals structure and design to be modern, functional and pleasant for use. This paper is focused on analysis of web portals designs, with special attention to university portals of technical sciences schools having information technology-related study programmes. In this empirical research, an evaluation model to be applied upon the sample web portals is formulated according to the framework of user experience design cumulatively, by extraction of web pages, elements and their characteristics from web portals in the research sample. This evaluation model is applied in analysis of characteristics of each item in the sample, i.e. each web portal of schools of technical sciences that belong to state-owned universities in Serbia. Conclusions are related towards formulating a set of web design quality characteristics which could be applicable in benchmarking, redesign or creating new web portals.
Exploring Online Teaching-Learning during COVID-19: A Comparative Study of Team Based Learning and Non-Team Based Learning

The COVID-19 pandemic forced the worldwide and sudden transformations of conventional live teaching strategy to online ICT based format in engineering education. Cognitive engagement of students is the main challenge during online teaching-learning platform. Teambased learning (TBL) is a collaborative teaching-learning approach that allows students to follow a structured procedure to enrich student cognitive engagement in the online platform. This paper is focused on comparative studies of team based learning and non-team based learning for a course “Advance Database System” in computer science and engineering department. The hypothesis is considered that TBL is best learning approach to cognitive engagement of students in the online platform. T-test and Chi-square test is applied to analyse the result. The results exhibited that TBL is the superior learning method and the hypothesis was proved and accepted. Keywords: Team-based Learning, T-test, Chi-square test, Cognitive Engagement.
Securing Data using Artificial Intelligence andBlock Chain

The input for several Artificial Intelligence algorithms is Data which is used formining the valuable features. But, data on the internet are unbelievable and difficult to authorize. It is very difficult to verify the data for the users in this complex cyberspace. So, for this we proposed SecNet in this paper. SecNet , Anarchitecture that helps in securing data storage, processing of data and sharing large scale Internet environments. The main aim of this architecture is to createa more secure cyberspace with real big data and to improve the Artificial Intelligence algorithms on various data sources. This architecture integrates andprovides three main components1) The exchange of Blockchain-based data is done with guaranteed Ownership. This allows exchange of reliable data in largescale space and forms real big data.2) The securing of AI-based secure computing platform powered by Artificial Intelligence to create smarter security rules that helps to create a more stable cyberspace. 3)The trusted value-sharing Security Service purchase Mechanism, provides participants with a great opportunity to receive Economic Rewards for data or service provision,thus facilitating data sharing, resulting in better AI performance. This also discusses common SecNet use cases and potential another deploymentmethods, and analyzes their effectiveness in terms of security in networks and their economic return.
High-resolution phase-shifting Ronchi test

A method adding phase-shifting capacity in two mutually perpendicular axes to the Ronchi test is presented in this work. The phase of the object with the position of the reflected ray on the grating was identified and used to solve the equation of reflection in two orthogonal directions. In this manner, the test-surface figure was obtained. The procedure was demonstrated with an inverse qualitative test and a direct, quantitative test. Both tests give results comparable to Fizeau interferometry, with the precision of the order of 25 nm peak to valley. This technique is a good alternative to interferometry because, in addition to its inherent high-resolution, it is possible to obtain the radius of curvature and conic constant, which interferometers, requiring auxiliary optics, cannot provide. This method also has a high dynamic range and is not as susceptible to vibrations or turbulence. The setup can be built with low-cost, readily available components, is easily aligned, uses a white light source, and can be made very lightweight and compact, which makes it ideal for mounting onto existing polishing machines in any optical fabrication workshop, to perform in situ surface metrology.
Balancing exploration and exploitation in social spider optimisation using logistic chaotic map and opposition-based learning with an application to data clustering

Chaotic maps can be used to generate random numbers systematically. Opposition-based learning improves global searching capability of nature inspired algorithms and thereby improves the exploration. Social spider optimisation (SSO) has been getting the popularity in research community because of its applicability in a wide range of applications. The chance of getting global optimum in SSO can be improved by maintaining a balance between exploration and exploitation. In this paper, we propose a new algorithm namely logistic chaotic map and opposition-based learning SSO for data clustering (LOSSODC) that maintains a good balance between exploration and exploitation in the entire search process using logistic chaotic map and opposition-based learning for solving data clustering problem. We compare it with other nature inspired clustering algorithms and find that it gives better clustering results with respect to both low dimensional and high dimensional datasets.
Dynamics of career preferences in management students

Background. One of the key challenges facing university students in terms of their career is the relevance of career preferences to professional and personal competencies. The reported study explored the relation between career preferences and competencies of students at different stages of training. Career preferences are viewed as indicators of successful transition through the normative crisis of professionalisation. Career preferences are students’ attitudes to essential challenges related to career development. Career preferences include motivational, emotional and volitional, and orientation components. Materials and methods. The data were collected by “Career Readiness” and “Leader. Manager. Expert” questionnaires developed by S. V. Dukhnovsky. The sample included 167 students aged 18–22. The evidence was collected from university students on management programmes. The empirical results were processed by Statistica 10.0 Software Package with the use of Shapiro-Wilk test, one-way ANOVA and Pearson’s correlation coefficient. Results and discussion. The results suggest that most students prefer a mixed type of career. Throughout all the stages of training, they opt for vertical career rather than the horizontal one. Students also show a gradual transition from non-specialised to specialised career preferences. Changes in career preferences are associated with the development of leadership, managerial and expert competencies. First and second-year students are more likely to show leadership skills, while students in their final year of training tend to reveal managerial and expert competencies. Conclusions. The results of the study can be used in the development of career profiles for university students as tools for promoting their further professionalisation.
Psychological and pedagogical aspects of the formation process of the research component of teachers’ technological culture

Introduction. In a continuously developing technological society, teachers need to have a sufficient level of technological culture to implement their activities in accordance with the requirements of technological reality. The optimization of this process is facilitated by the organization of pedagogical practice in accordance with the results of up-to-date research into relevant aspects of pedagogical activity. The problem of forming the research component of a teacher’s technological culture involves the use of the means of its implementation, contributing to the continuity of this process. By way of the said use, the authors propose consulting support for pedagogical research, which has been improved to the level of technology. Consulting support as a pedagogical technology is based on the leading principles of the system-synergetic approach of the general scientific level in combination with andragogical and praxeological (which provide the specific scientific level), competence and contextual (methodological level) approaches. Purpose: the article presents the results of consulting support of the research activities of future Home Economics teachers. Materials and methods: consulting support was carried out by internal consultants of the university, united in a collective entity “consulter” consisting of 2–5 people. Game modeling is used as the main form of consulting support. Circuitry technique is used to facilitate the process of understanding the meanings conveyed by the participants of consulting events. The productivity of consulting support for the formation of the research component of the technological culture of future teachers was determined by the results of their coursework in various disciplines of a special cycle and by the methods of interviewing its participants (questionnaire, essay). To confirm the reliability of the results obtained, the following methods of statistical data processing were used: nonparametric methods (Friedman, Wilcoxon, Mann — Whitney criteria) and parametric — one-factor analysis of variance. Results: Consulting support contributes to the development of future teachers’ research competencies, regardless of the initial level of their competencies and the content of the field under study. The continuity of consulting support, combining the modes of traditional, online and offline participation, contributes to the stability of the formed research competencies. Conclusion: The obtained results of the consulting support of the process of forming the research component of the future Home Economics teachers’ technological culture confirmed the productivity of the consulting support.
Automated dynamic schema generation using knowledge graph

&lt;span&gt;On the internet where the number of database developers is increasing with the availability of huge data to be stored and queried. Establishing relations between various schemas and helping the developers by filtering, prioritizing, and suggesting relevant schema is a requirement. Recommendation system plays an important role in searching through a large volume of dynamically generated schemas to provide database developers with personalized schemas and services. Although many methods are already available to solve problems using machine learning, they require more time and data to learn. These problems can be solved using knowledge graphs (KG). This paper investigates building knowledge graphs to recommend schemas. &lt;/span&gt;
Search Engine for Assorted Media in Chat Applications

The mobile industry has come across many revolutionizing advancements in its technologies over the past three decades, making mobile phones an integral part of everyone’s daily lives. With the exponential advent of this technology to handle work on chat applications for prolonged hours, there has been a great increase in the interconnectivity of different sections of society, both economically and demographically. Existing chat applications provide in-built search engines that are competent in handling text searches but cannot search for different types of media, both visual and audible, which may be present in the chat. This paper proposes a novel approach that allows chat applications to use an inbuilt media search engine that performs searches for all the disparate media that the chat holds, using keywords. The machine learning model detects the objects from the media files and maps those objects’ keywords to the list of images. These keywords may be any of the objects that can be detected in those media files. Say, a user searches for the keyword ‘Table’ in the search engine, and he gets all the images having tables. This feature saves time for the user as no manual work is required to search for any media exchanged in the chat by scrolling and searching in case of many media files. This idea blooms out from within the feedback that the real-world audience has provided when asked for their expectations from a “perfect” chat application. The entire study associated with this paper conforms with the problem statement and guarantees the user a more comfortable and helpful experience while using the proposed feature. The proposed method uses TensorFlow-Lite and Google Machine Learning (ML) Kit’s Image Labelling APIs to detect the keywords that together characterize the media present in the chat. This method is found to be performing accurately for all types of media (especially photos) when manually tested with real-world data.