process visualization
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Monika Rybczak ◽  
Dawid Trzcińśki ◽  
Natalia Wenta ◽  

The article contains an overview of articles related to the description of control process visualization. It provides short information on how to visualize the production line based on two programming environments: Factory IO and Inventor together with Matlab/Simulink. The analysis of these two environments concerns control of a virtual 3D object from a real PLC. Both virtual production line projects are based on control from the S7-1214 DC/DC/DC controller. Currently, there is a need to validate the program code or control process which has been done using several commercially available programs.

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1342
Amy J. C. Trappey ◽  
Charles V. Trappey ◽  
Chih-Ping Liang ◽  
Hsin-Jung Lin

Researchers must read and understand a large volume of technical papers, including patent documents, to fully grasp the state-of-the-art technological progress in a given domain. Chemical research is particularly challenging with the fast growth of newly registered utility patents (also known as intellectual property or IP) that provide detailed descriptions of the processes used to create a new chemical or a new process to manufacture a known chemical. The researcher must be able to understand the latest patents and literature in order to develop new chemicals and processes that do not infringe on existing claims and processes. This research uses text mining, integrated machine learning, and knowledge visualization techniques to effectively and accurately support the extraction and graphical presentation of chemical processes disclosed in patent documents. The computer framework trains a machine learning model called ALBERT for automatic paragraph text classification. ALBERT separates chemical and non-chemical descriptive paragraphs from a patent for effective chemical term extraction. The ChemDataExtractor is used to classify chemical terms, such as inputs, units, and reactions from the chemical paragraphs. A computer-supported graph-based knowledge representation interface is developed to plot the extracted chemical terms and their chemical process links as a network of nodes with connecting arcs. The computer-supported chemical knowledge visualization approach helps researchers to quickly understand the innovative and unique chemical or processes of any chemical patent of interest.

2021 ◽  
Vol 14 (33) ◽  
pp. e16053
Anatoly Nikolaevish Andreev ◽  
Olga Viktorovna Emtseva ◽  
Ekaterina Sergeevna Babkina ◽  
Valeriy Nikolaevich Dolzhenkov ◽  
Nina Valentinovna Kudryashova

The purpose of the article is to comprehensively consider the concept of visualization, which is one of the main factors of effective learning of educational material, as well as to analyze the possibilities of using visualization in distance learning. The article shows the relevance of visualization of distance education, describes visualization technologies as a tool for improving the effectiveness of distance learning, defines the essence of visualization in education, finds out the possibilities of using visualization to ensure the professional training of future specialists in the course of distance learning of academic disciplines, as well as considers the visualization tools used in students’ distance learning. Based on an empirical study of using visualization in the course of distance learning of the "Pedagogical Skills" course, the formedness of the cognitive and operational components of students' educational activities was evaluated. This allowed concluding that using contemporary visualization technologies in the educational process creates prerequisites for improving the quality and effectiveness of training, acts as a key factor in improving the effectiveness of the educational process. Visualization allows solving a set of pedagogical problems, such as making the complicated educational material of various disciplines understandable, accessible for awareness, without reducing the level of its scientific character, creating conditions for informal assimilation of the training content by learners, contributing acquisition of deep, systematic knowledge, and so on.

2021 ◽  
Vol 4 (1) ◽  
pp. 3-14
Zdzislaw Polkowski ◽  
Sambit Kumar Mishra ◽  

In a general scenario, the approaches linked to the innovation of large-scaled data seem ordinary; the informational measures of such aspects can differ based on the applications as these are associated with different attributes that may support high data volumes high data quality. Accordingly, the challenges can be identified with an assurance of high-level protection and data transformation with enhanced operation quality. Based on large-scale data applications in different virtual servers, it is clear that the information can be measured by enlisting the sources linked to sensors networked and provisioned by the analysts. Therefore, it is very much essential to track the relevance and issues with enormous information. While aiming towards knowledge extraction, applying large-scaled data may involve the analytical aspects to predict future events. Accordingly, the soft computing approach can be implemented in such cases to carry out the analysis. During the analysis of large-scale data, it is essential to abide by the rules associated with security measures because preserving sensitive information is the biggest challenge while dealing with large-scale data. As high risk is observed in such data analysis, security measures can be enhanced by having provisioned with authentication and authorization. Indeed, the major obstacles linked to the techniques while analyzing the data are prohibited during security and scalability. The integral methods towards application on data possess a better impact on scalability. It is observed that the faster scaling factor of data on the processor embeds some processing elements to the system. Therefore, it is required to address the challenges linked to processors correlating with process visualization and scalability.

2021 ◽  
Vol 7 (1) ◽  
pp. 32
I Gde Wawan Sudatha ◽  
Alexander Hamonangan Simamora

Visualization can support an instructional process. Visualization consists of all types of nonverbal illustrations. The very rapidly computer technology enables the development of multimedia learning environment. This research was aimed at describing the effectiveness and attractiveness of the use of dynamic visualization in an instruction on transportation system and excretion in organisms. Sixty four students of grade 8 who consisted of 36 males and 28 females were used as the subjects of the research. The data of the research were collected in the form of pre-test and post-test scores in the students’ understanding of transportation system and excretion in organisms and in the attractiveness of the use of dynamic visualization in the instruction. Statistical test showed that the mean of the comprehension test before the use of dynamic visualization differed significantly from that after the use of dynamic visualization and that dynamic visualization was attractive to be used in the instruction. Hence, it can be concluded that dynamic visualization can enhance students’ understanding.

2020 ◽  
pp. short10-1-short10-9
Ekaterina Krylova ◽  
Irina Papkova ◽  
Vadim Krysko

Process visualization of static stability loss in mechanics is shown by the micropolar meshed cylindrical panel example with two families of mutually perpendicular ribs. The mathematical model of the panel's behavior is based on the Kirchhoff-Love hypotheses. The micropolar theory is applied to ac-count for scale effects. Geometric nonlinearity is taken into account according to the theory of Theodor von Karman. The mesh structure is taken into account based on the Pshenichnov I. G. continuum model. Visualization of numerical results using Autodesk 3ds Max software made it possible to more clearly assess the phenomenon of static buckling of the shell in question. Visualization of the results using 3D made it possible to establish that an in-crease in the distance between the edges of the mesh panel and an increase in the parameter depending on the size does not change the bending shape of the panel, as well as the diagrams of moments and forces at subcritical and supercritical loads.

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