Journal articles: 'Visualization of the processing process'

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Yanev, A. S., Gustavo R. Dias, and António M. Cunha. "Visualization of Injection Moulding Process." Materials Science Forum 587-588 (June 2008): 716–20. http://dx.doi.org/10.4028/www.scientific.net/msf.587-588.716.

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A special tool-transparent mould designed to visualize the melt flow inside the cavity is used in this research. The aim of the work is to assess the polymer melt behavior under different processing conditions-close to industrial, in conventional and two materials non-conventional injection moulding techniques. The mould is designed with two injection locations and has possibility to change the geometry of the cavity in order to investigate the melt behavior in differently shaped cavities. Visual access in the mould is allowed by the sapphire windows, surrounding the cavity. For image acquisition a high speed video camera NAC 1000 is used. Materials used in the research are three polypropylenes with different flow index. Results are obtained for conventional injection moulding, two material monosandwich and two material biinjection moulding. Apart from visualization, instrumentation of the mould allows to be obtained PT data for each processing condition. Results from conventional injection moulding are compared with MPI5.0 simulations.

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Li, Hongchao, and Fang Wu. "Conversion and Visualization of Remote Sensing Image Data in CAD." Computer-Aided Design and Applications 18, S3 (October 20, 2020): 82–94. http://dx.doi.org/10.14733/cadaps.2021.s3.82-94.

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In this paper, a process visualization model for remote sensing image classification algorithms is constructed to analyze the current processing characteristics of process visualization in remote sensing application systems. The usability of the model is verified in a remote sensing application system with a remote sensing image classification algorithm based on support vector machines as an example. Given the characteristics of remote sensing applications that require high visualization process and a large amount of data processing, the basic process of an image classification algorithm for remote sensing applications is summarized by analyzing the basic process of existing image classification algorithms in remote sensing applications, taking into account the characteristics of process visualization. Based on the existing process of remote sensing image classification algorithm, a process visualization model is proposed. The model takes a goal-based process acts as the basic elements of the model, provides visualization functions and interfaces for human-computer interaction through a human-computer interaction selector, and uses a template knowledge base to save processing data and realize the description of customized processes. The model has little impact on the efficiency and accuracy of the support vector machine-based remote sensing image classification algorithm during the process of process visualization and customization. Finally, the application of the model to integrate business processing of earth observation can address the problem of process customization visualization for remote sensing applications to some extent.

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OHMURA, Etsuji. "Precision Processing by Laser. Visualization of Laser Materials Processing Process Based on Molecular Dynamics." Journal of the Japan Society for Precision Engineering 65, no. 11 (1999): 1543–46. http://dx.doi.org/10.2493/jjspe.65.1543.

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Tiutiunnyk, Anastasiia. "VISUALIZATION TECHNOLOGIES IN WORLD RESEARCH." OPEN EDUCATIONAL E-ENVIRONMENT OF MODERN UNIVERSITY, no. 9 (2020): 161–68. http://dx.doi.org/10.28925/2414-0325.2020.9.13.

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Every year the amount of information increases significantly, particularly in education, and at the same time, the possibilities of digital tools utilization for processing it changes. Scientific progress, virtualization and automation of many processes have a beneficial effect on this, and therefore there is a need for their processing and accounting, which entails an increase in computing power and data rates. The continuous flow of information is a necessary condition for the existence of modern civilization and the reason for the overload with information and media activity consciousness, which provoked the emergence of a new type of thinking based on the clip perception of messages. A person from all the variety of information grasps the brightest fragments that appeal to his consciousness and thus forms a chain of levels of information perception "image - title - text - understanding", where the information's visual component acts as a link from one to another and provides information connection. The visual component of information (visualization), based on certain associations, stereotypes of thinking, conveys the essence of significant event, fact, phenomenon, process, important for a person in time and space. Visualization is the most important step in the data analysis process. It helps to present research results in a simple and clear form, often serves as a key factor for decision-making in various fields. Although many people associate digital visualization with linear graphs and tables exclusively, in reality it is a big concept, a system of transmitting complex ideas, patterns and data through visual images. The analysis of the notions "visualization", "information visualization", "graphic image", "graph" is performed in the article. Varieties and methods of digital visualizations by different researchers are analyzed. The methods of digital visualization by Swiss researchers, who presented them in the form of a periodic table, are described. The main types of digital visualizations with examples and their possible application are described in detail.

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Rosenblum, Sara, Dan Chevion, and Patrice L. (Tamar) Weiss. "Using data visualization and signal processing to characterize the handwriting process." Pediatric Rehabilitation 9, no. 4 (January 2006): 404–17. http://dx.doi.org/10.1080/13638490600667964.

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Zhang, Rong. "Based on Computer Graphics Visualization Technologies." Applied Mechanics and Materials 529 (June 2014): 726–29. http://dx.doi.org/10.4028/www.scientific.net/amm.529.726.

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With the development of calculation ability and data processing ability of computer,so process complex data has become possible,with computer graphics methods, in a easily observe graphic way to represent data requirements has became popular day by day. The article describes some fields which attract users' attention,such as scientific processing, landscape simulation,visualization research technique in medical diagnosis.

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Pradana, Lingga Nico, and Octarina Hidayatus Sholikhah. "Connecting Spatial Reasoning Process to Geometric Problem." Profesi Pendidikan Dasar 8, no. 2 (December 24, 2021): 121–29. http://dx.doi.org/10.23917/ppd.v8i2.16132.

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The field of spatial reasoning has seen a lot of research. The process of spatial reasoning, on the other hand, needs to be investigated further. The goal of this study is to capture an elementary school student's spatial reasoning process when solving geometric problems. The spatial skills used in solving geometric problems were also identified in this study. A geometric test was given to seventeen elementary school students. Three participants were chosen as the study's subjects based on their written responses. According to the findings, the subject's spatial reasoning process always begins with the processing of information in mental visualization. Mental visualization is used to help with orientation and selecting the appropriate visual perspective. The spatial skills of spatial visualization and spatial orientation are critical in spatial reasoning. Furthermore, this research initiated the emphasis on the focus of spatial reasoning in the process.

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Balaban, Mira, and Michael Elhadad. "On the Need for Visual Formalisms in Music Processing." Leonardo 32, no. 2 (April 1999): 127–34. http://dx.doi.org/10.1162/002409499553109.

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Computer music environments (CMEs) are notoriously difficult to design and implement. As computer programs, they reflect the complex nature of music ontology and must support real-time manipulation of multimedia data. In addition, these programs must be usable by native users, supporting their creative process without obstructing it through technical difficulties. To achieve these goals, the authors argue, CMEs must be provided with a well-defined methodology relying on techniques from the fields of software engineering, artificial intelligence, and knowledge representation. This paper contributes an aspect of this methodology, concentrating on the role of visualizations in CMEs. The authors state that visualization deserves a specialized theory that is based on music ontology and that is independent of the concrete, implemented graphical interface.

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Bornik, Alexander, and Wolfgang Neubauer. "3D Visualization Techniques for Analysis and Archaeological Interpretation of GPR Data." Remote Sensing 14, no. 7 (April 1, 2022): 1709. http://dx.doi.org/10.3390/rs14071709.

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The non-invasive detection and digital documentation of buried archaeological heritage by means of geophysical prospection is increasingly gaining importance in modern field archaeology and archaeological heritage management. It frequently provides the detailed information required for heritage protection or targeted further archaeological research. High-resolution magnetometry and ground-penetrating radar (GPR) became invaluable tools for the efficient and comprehensive non-invasive exploration of complete archaeological sites and archaeological landscapes. The analysis and detailed archaeological interpretation of the resulting large 2D and 3D datasets, and related data from aerial archaeology or airborne remote sensing, etc., is a time-consuming and complex process, which requires the integration of all data at hand, respective three-dimensional imagination, and a broad understanding of the archaeological problem; therefore, informative 3D visualizations supporting the exploration of complex 3D datasets and supporting the interpretative process are in great demand. This paper presents a novel integrated 3D GPR interpretation approach, centered around the flexible 3D visualization of heterogeneous data, which supports conjoint visualization of scenes composed of GPR volumes, 2D prospection imagery, and 3D interpretative models. We found that the flexible visual combination of the original 3D GPR datasets and images derived from the data applying post-processing techniques inspired by medical image analysis and seismic data processing contribute to the perceptibility of archaeologically relevant features and their respective context within a stratified volume. Moreover, such visualizations support the interpreting archaeologists in their development of a deeper understanding of the complex datasets as a starting point for and throughout the implemented interactive interpretative process.

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Feng, Hui, and Guozhen Chen. "A Novel Data Visualization Model Based on Autoencoder Using Big Data Analysis and Distributed Processing Technology." Scientific Programming 2022 (January 17, 2022): 1–9. http://dx.doi.org/10.1155/2022/7698174.

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From the standpoint of visual elements, this article investigates the use of visual information technology in visual communication design. At this time, information visualization and data visualization are widely used to display visual form, which greatly facilitates people’s use, provides a solid application foundation for visual communication design, and promotes its development. The image presentation of data is a common encoding process, and the reading of image content is the corresponding decoding process from the perspective of encoding and decoding. The combined efficacy of data encoding and image decoding determines the effectiveness of data visualization. It is worth noting that when it comes to “encoding and decoding,” it has been established that the design mode of data visualization and visual communication is not a process of copying images but rather an external form of human thought. Then, there is the unmistakable presence of something unseen in the encoding and decoding processes. It also serves as the encoding and decoding key in the human brain. The image is as follows. From the standpoint of encoding and decoding, this article employs the data visualization self-encoder method to obtain visual data. Design pattern representation for perceptual communication can effectively support users’ rapid motion analysis during the browsing process.

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Zhang, Yuchong, Adel Omrani, Rahul Yadav, and Morten Fjeld. "Supporting Visualization Analysis in Industrial Process Tomography by Using Augmented Reality—A Case Study of an Industrial Microwave Drying System." Sensors 21, no. 19 (September 29, 2021): 6515. http://dx.doi.org/10.3390/s21196515.

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Industrial process tomography (IPT) based process control is an advisable approach in industrial heating processes for improving system efficiency and quality. When using it, appropriate dataflow pipelines and visualizations are key for domain users to implement precise data acquisition and analysis. In this article, we propose a complete data processing and visualizing workflow regarding a specific case—microwave tomography (MWT) controlled industrial microwave drying system. Furthermore, we present the up-to-date augmented reality (AR) technique to support the corresponding data visualization and on-site analysis. As a pioneering study of using AR to benefit IPT systems, the proposed AR module provides straightforward and comprehensible visualizations pertaining to the process data to the related users. Inside the dataflow of the case, a time reversal imaging algorithm, a post-imaging segmentation, and a volumetric visualization module are included. For the time reversal algorithm, we exhaustively introduce each step for MWT image reconstruction and then present the simulated results. For the post-imaging segmentation, an automatic tomographic segmentation algorithm is utilized to reveal the significant information contained in the reconstructed images. For volumetric visualization, the 3D generated information is displayed. Finally, the proposed AR system is integrated with the on-going process data, including reconstructed, segmented, and volumetric images, which are used for facilitating interactive on-site data analysis for domain users. The central part of the AR system is implemented by a mobile app that is currently supported on iOS/Android platforms.

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Ignatov, Yuri, Oleg Tailakov, Evgeniy Saltymakov, and Daniil Gorodilov. "Development of an electrical exploration data post-processor." E3S Web of Conferences 315 (2021): 03027. http://dx.doi.org/10.1051/e3sconf/202131503027.

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In modern times, the development of geology and geophysics is associated with complex experiments. The results of these experiments are large arrays of numerical data, which require processing and further analysis. If to process these data manually, it can be a very difficult and routine task. For such studies, specialized tools are important, which are necessary to significantly speed up the processing process and to render visualization of geophysical data in real time. The software is worked out to automate the geophysical data processing obtained after electrical exploration procedure. The designed postprocessor performs functions of data correction and geological and geophysical profile visualization. The user interface of the program provides researchers with the ability to interactively process the initial geophysical data.

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Kandera, Matej, Miroslav Císar, and Ivan Zajačko. "Capabilities of processing and visualization of production facilities diagnostic data." MATEC Web of Conferences 244 (2018): 01020. http://dx.doi.org/10.1051/matecconf/201824401020.

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One of the main requirements of the safe and sustained workflow of production facilities and machines, is the proper choice and implementation of suitable technical diagnostic method. In the broader sense technical diagnostics includes approaches and methods of technical objects condition determination. This process is based on specific devices parameters inspecting, which values are directly or indirectly caused by certain changes of monitored production facilities condition. In order to reliably detect faults in right time, selected parameters indicating status of the production device should be monitored continuously. At a time when an Internet of Things platforms implemented to the industry business systems is the great temptation from the view of investors and company prestige are these principles common in the process of machine parameters online monitoring and its cross connections within the business realms. This paper describes specific software ThingWorx, which is a great example of sophisticated and universal IoT platform and also describes its application for production facilities diagnostic data collection and visualization.

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Silva, Ricardo, João Moura-Pires, and Maribel Yasmina Santos. "Spatial Clustering in SOLAP Systems to Enhance Map Visualization." International Journal of Data Warehousing and Mining 8, no. 2 (April 2012): 23–43. http://dx.doi.org/10.4018/jdwm.2012040102.

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The emergence of the SOLAP concept supports map visualization for improving data analysis, enhancing the decision making process. However, in this environment, maps can easily become cluttered losing the benefits that triggered the appearance of this concept. In order to overcome this problem, a post-processing model is proposed, which relies on Geovisual Analytics principles. Namely, it takes advantage from the user interaction and the spatial clustering approach in order to reduce the number of elements to be visualized when this number is inadequate to a proper map analysis. Moreover, a novel heuristic to identify the threshold value from which the clusters must be generated was developed. The proposed post-processing model takes into account the query performed, i.e., the number of spatial attributes, the number of spatial dimensions, and the type of spatial objects selected from dimensions. The results obtained so far show: (i) the novel approach to support queries with two spatial attributes from different dimensions allows useful analysis; (ii) the proposed post-processing model is very effective in maintaining a map suitable to the user’s cognitive process; and, (iii) the heuristic proposed provide the user participation in the clustering process, in a user-friendly way.

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Watson, Ian. "Further Processing of Estimation Results: Basic Programming with Matrices." Stata Journal: Promoting communications on statistics and Stata 5, no. 1 (February 2005): 83–91. http://dx.doi.org/10.1177/1536867x0500500112.

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Rather than process estimation results in other applications, such as spreadsheets, this article shows how easy it is to process them inside Stata by undertaking some basic programming with matrices. Spreadsheet visualization helps define the task, but the steps are all core Stata: macros, loops, and matrices. The programming challenge is only a modest one for novices, while the benefits of converting do-files into ado programs can be considerable.

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Kodym, Oldřich, Vladimír Kohut, Pavel Koštial, and Zora Jančíková. "Visualization of Thermal Measuring in 3D Environment." Defect and Diffusion Forum 353 (May 2014): 56–60. http://dx.doi.org/10.4028/www.scientific.net/ddf.353.56.

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Measuring of thermal distribution in certain material was done in Matlab. Obtained data are processed and displayed in fully 3D environment (virtual reality) using X3D. Paper deals with data processing and conversion from Matlab into X3D. Further development of visualization is discussed too – visualization of thermal gradient, Integration of measured a visualized data into real object or technological process visualization. The aim of this topic is to present information about discontinuities in solid materials.

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KORNILOVA, N. V., V. G. ABUSHKEVICH, A. N. ARDELYAN, Yu Yu PEROVA, and A. G. POKHOT'KO. "VISUALIZATION OF THE EXCITATION PROCESS IN THE FROG'S NERVES." Kuban Scientific Medical Bulletin 25, no. 4 (October 3, 2018): 51–54. http://dx.doi.org/10.25207/1608-6228-2018-25-4-51-54.

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Aim.Visualization of the excitation process in the frog's nerves.Materials and methods. Observations were carried out on 30 immobilized frogs. Vagosympathetic trunks and sciatic nerve were allocated from the frogs. Ligatures were placed on the right vagosympathetic trunk crossing it. A scanner of the gas discharge visualization camera of the CELSY device, which created a high- frequency electromagnetic field (1024 Hz), was installed above the nerves. The scanner with a highly sensitive camera shot a 60-second video (the frequency of frame-by-frame shooting to 1000 frames per second), during which the edge luminescence (Kirlian effect) and the glow spots were recorded inside the nerve. The electrocardiogram (ECG) was synchronously recorded in the I standard lead. The processing of the obtained results was carried out according to the area of the glow spot, the area of the highest luminescence brightness, the direction of the movement of the foci of the luminescence, and the linear velocity of the movement of the glow foci.Results.Foci of the internal luminescence appeared only in the high-frequency electromagnetic field in the sciatic nerve of the frog when the nerve was stimulated by electrical impulses, which resulted in the contraction of the frog's foot. Glow foci of the brain synchronous to the heart rhythm and preceding the tooth of the V- wave on the frog’s ECG were observed at the central end of the cut of the frog’s vagosympathetic trunk. Conclusion.Visualized foci of luminescence in the nerve reflect the neural activity.

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Miyata, Takashi, and Yuji Matsumoto. "Natural Language Generation for Legal Expert System and Visualization of Generation Process." Journal of Advanced Computational Intelligence and Intelligent Informatics 2, no. 1 (February 20, 1998): 26–33. http://dx.doi.org/10.20965/jaciii.1998.p0026.

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An HPSG-based grammar and a sentence generation system for a small set of Japanese in legal expert domains are constructed. The system adopts its own general semantic system in which a domain-specific logical form is converted. This separation between domain-specific and linguistic semantics gives flexibility to both task processing and sentence generation. We also propose a visualization system which shows the generation process in a tabular form and operates as a graphical user interface for grammar debugging.

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GRUNDY, JOHN. "VISUAL SPECIFICATION AND MONITORING OF SOFTWARE AGENTS IN DECENTRALIZED PROCESS-CENTRED ENVIRONMENTS." International Journal of Software Engineering and Knowledge Engineering 09, no. 04 (August 1999): 425–44. http://dx.doi.org/10.1142/s0218194099000243.

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Distributed, cooperating software agents are useful in many problem domains, such as task automation and work coordination in process-centered environments. We describe a visual language for specifying such software agents, which uses the composition of event-based software components. These specifications may contain interfaces to remotely executing agents, and agents may be run locally or on distributed machines using a decentralized software architecture. As facilities to configure and monitor the state and activities of such distributed, cooperating software agents is essential, we provide primarily visual capabilities to achieve this. Our static and dynamic software agent visualization techniques have been used on several projects where distributed information processing, system interfacing, work coordination and task automation are required. We illustrate our visualization techniques with examples from these domains.

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Grudzien, Krzysztof. "Analysis of the Granular Material Concentration Changes During Silo Discharging Process Based on X-Ray Image Analysis." Image Processing & Communications 19, no. 2-3 (September 1, 2014): 107–17. http://dx.doi.org/10.1515/ipc-2015-0015.

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Abstract In the paper is presented methodology of the X-ray image processing application to investigate gravitational flow in rectangular silo model. The proposed normalization procedure of X-ray data allows to visualize the changes of the volume fraction of sand during silo discharging process. The applied procedure of image processing, in contrast to the previously author works, allows to obtained more accurate information about the changes of material distribution level during process. The conducted image analysis simplifies the investigation of mass flow in various area of silo. The obtained results show the different particle behaviour in centre and at silo wall area. The experiments were conducted for different initially level of sand densities and roughness of the silo wall. Visualization of dissimilarity in interaction between the particles and particles, and between particles and the silo walls, even for smooth wall, was the main result of the Xray image analysis, especially for shear zone visualization.

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Malikova, F. U., А. Т. Toleushova, and R. S. Ryskeldi. "SIGNATURE VISUALIZATION METHOD." BULLETIN Series of Physics & Mathematical Sciences 69, no. 1 (March 10, 2020): 370–73. http://dx.doi.org/10.51889/2020-1.1728-7901.66.

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In the modern information society, much attention is paid to improving the human and machine interface, which should ensure efficient processing of data and knowledge in simple, fast and accessible ways. One way to organize it is to introduce the manuscript (text input, drawings, drawings, etc.) its use usually does not require special training in a fast, convenient way. In addition, an integral part of the human-machine interface is mathematical and software, which allows you to move from the initial low data to data that directly characterizes the entered information. Currently, modern approaches to modeling the process of creating a handwritten text are considered. When examining the signature, an example of using the model is provided. The proposed visualization technique can be fully used on modern threedimensional monitors. Currently, the work on the computer analysis of the handwritten text is being actively carried out. In this case, from the handwritten text is extracted as transmitted with the help of information (recognition of the handwritten text), and information about the identity of the writer and his condition (identification of the person by handwriting and signature, psychological and medical diagnostics, graphological research).

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Dong, Hui, Ling Xia, Zhi Peng, and Jin Zhang. "3D-Visualization for DICOM Series Based on ITK and VTK." Applied Mechanics and Materials 263-266 (December 2012): 2530–33. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2530.

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Nowadays, medical image processing and three-dimensional visualization have become a very important support for doctor diagnosis and treatment planning. It’s a novel technology that using ITK and VTK to process and display medical images in VC++. In this paper, the Curvature FlowImageFilter class of ITK libraries is used to denoise and smooth the medical images. The MC algorithms is used to reconstruct the volume data in the VS2008. Immediate Mode algorithms and Stripper filter algorithms are adopted to speed up large data processing. The experiment results demonstrate that using the MC algorithms and the acceleration algorithms base on the VTK can implement 3-D visualization efficiently and satisfy practical applications.

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Zhao, Han Qing, and Shao Sheng Wang. "Visualization Research of Roadheader’s Memory Cutting Research." Applied Mechanics and Materials 33 (October 2010): 177–80. http://dx.doi.org/10.4028/www.scientific.net/amm.33.177.

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For the solution cantilever roadheader in the construction process, the driver working strength is big, the tunnel cross section forming quality was bad, has designed the cantilever rodheader memory cutting visualization system. This system examines cantilever's position condition, the state of motion and the roadheader fuselage inclination angle through the sensor, carries on the data acquisition and processing using PLC, and through with the touch screen, the upper computer's correspondence, realizes roadheader memory cutting visualization, raised roadheader's automated level, reduced operator's labor intensity enormously, raised the tunneling efficiency obviously.

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Pinos, Jan, Vit Vozenilek, and Ondrej Pavlis. "Automatic Geodata Processing Methods for Real-World City Visualizations in Cities: Skylines." ISPRS International Journal of Geo-Information 9, no. 1 (January 1, 2020): 17. http://dx.doi.org/10.3390/ijgi9010017.

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The city-building game Cities: Skylines simulates urban-related processes in a visually appealing 3D environment and thus offers interesting possibilities for visualizations of real-world places. Such visualizations could be used for presentation, participation, or education projects. However, the creation process of the game model from geographical data is inaccurate, complicated, and time consuming, thus preventing the wider use of this game for non-entertainment purposes. This paper presents the automatic methods scripted in the Cities: Skylines application programming interface (API) and bundled into a game modification (commonly referred to as a game mod) named GeoSkylines, to create a geographically accurate visualization of real-world places in Cities: Skylines. Based on various geographical data, the presented methods create road and rail networks, tree coverage, water basins, planning zones, buildings, and services. Using these methods, playable models of the cities of Svit (Slovakia) and Olomouc (Czech Republic) were created in the game. The game mod GeoSkylines also provides methods for exporting game objects such as roads, buildings, and zones into a Geographic Information System (GIS) data format that can be processed further. This feature enables the game Cities: Skylines to be utilized as a data collection tool that could be used in redevelopment design projects.

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Meng, Biao, and Ya Jun Yan. "The Visualization Manufacturing System Research Based on Three-Dimensional Process Model of Full Information." Advanced Materials Research 658 (January 2013): 384–89. http://dx.doi.org/10.4028/www.scientific.net/amr.658.384.

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Three-dimensional visualization manufacturing technology based on the model defined is an emerging technology in the digital manufacturing of modern aviation, and that is a development trend of air-crafts, three-dimensional assembly process design. The technology mainly through the integration of the three-dimensional process design and process simulation systems, complete the connection of instructions、information and data which generated from design and simulation stage, and through integrating with MES, pass the completed design information of process to the production site to achieve visual assembly, get through a technology roadmap of product design and process design and on-site visualization assembly of model-based definition. Solved the difficult problem of the digitizing processing information obtained from the traditional two-dimensional drawings, and improved the overall efficiency of the manufacturing cycle.

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Liu, Ri Liang, Xian Zhi Zhang, and Cheng Rui Zhang. "Design and Implementation of a Data Processing and Visualization System for STEP-NC Programs." Applied Mechanics and Materials 16-19 (October 2009): 1015–19. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.1015.

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Over the last decade a new data interface for CAM/CNC integration has been established to replace ISO 6983. The new standard, ISO 14649 (STEP-NC), provides a comprehensive data model that describes both geometrical and technological information in an object-oriented way. In order to bridge the gap between such rich-information programs and the legacy CNC systems, this paper presents a framework for manipulating the manufacturing data in STEP-NC part programs. The proposed system provides a basic platform for STEP-NC program interpretation, geometry visualization, micro-process planning and program re-generation. Major issues relating to the realization of manufacturing information extraction and shop-floor-level process planning are addressed in particular, and a prototype for STEP-NC turning process is implemented to demonstrate the feasibility of the approach.

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Golubeva, Tatyana Ilinichna, Elena Vladimirovna Skudnyakova, Natalia Nikolaevna Kasatkina, Svetlana Vladimirovna Dandanova, and Oxana Innokentyevna Dagbaeva. "The impact of visualization tools in distance english language learning: the experience of the russian university teachers." Revista Tempos e Espaços em Educação 14, no. 33 (July 26, 2021): e16111. http://dx.doi.org/10.20952/revtee.v14i33.16111.

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The article is aimed at a detailed examination of the prerequisites for the introduction of visual content into the educational process in the foreign language course during distance learning and at defining a list of prerequisites for its successful processing by students. The article proves that the search for new trends and approaches to education leads to new goals and new types of knowledge. All innovations in higher education contribute to the formation of a new image of future professionals. The relevance of the problems of higher education technologization is associated with the countless number of innovations, among which the authors single out the visualization of educational information in distance learning. The article shows the importance of visualization in distance education. The given technology includes both visual presentations of information and the development of visual thinking during the educational process. Educational material and an effective visual teaching method allow making the educational process interesting and non-standard and increasing students’ motivation to learn English. Thus, the visualization of educational information is a tool for distance learning technology. The article identifies the preferable visualization tools based on the survey of students based on the results of the use of visualization in distance English language learning. According to the summary of the results of distance English language learning, it is proposed to divide the visualization process into several stages.

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Pakpahan, Eka K. A., Sonna Kristina, Ari Setiawan, and Evelin Merlians. "Job shop scheduling considering material handling process." MATEC Web of Conferences 204 (2018): 07008. http://dx.doi.org/10.1051/matecconf/201820407008.

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This paper discussed job shop scheduling considering material handling process. This process is a very important aspect on a flexible manufacturing system, where raw material or semi-finished goods are delivered from one processing point unto another by utilizing automated material handling equipment, functioned as shared resources. The starting time of each process is affected by the ability of the material handling equipment to conduct timely delivery from one point to another, therefore considering this process unto scheduling is important to enable planner to get precise estimation of the process makespan. We take the case where the flexible manufacturing system is consisted of four identical machines; each has the capability of processing various jobs due to the various cutting tools installed on their tools magazine. Jobs are dispatched based on longest processing time rule and then allocated to machine which has minimum load. Being a shared resource, material handling equipment has pick-up and delivery priority rule when handling multiple requests. The two most common rules are longest waiting and closest entity. This paper will analyzed the impact of each rule to the process makespan and material handling equipment utilization. Simulation model were built using Promodel to give decision maker better visualization of the system under consideration.

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Heinzlef, Charlotte, Vincent Becue, and Damien Serre. "A spatial decision support system for enhancing resilience to floods: bridging resilience modelling and geovisualization techniques." Natural Hazards and Earth System Sciences 20, no. 4 (April 21, 2020): 1049–68. http://dx.doi.org/10.5194/nhess-20-1049-2020.

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Abstract. In the context of climate change and increasing urbanization, floods are considerably affecting urban areas. The concept of urban resilience may be an interesting means of responding to urban flood issues. The objective of this research is to propose a spatial decision support tool based on geovisualization techniques and a resilience assessment method. The goal is to localize the level of resilience modelled in different territories. The methodology proposed consists of integrating three resilience indicators applied to a case study in Avignon (Provence-Alpes-Côte d'Azur region, France) and the use of geovisualization techniques: using GIS for data processing and analysis, visualization, mapping, and model processing. The methodology integrates decision-making by identifying characteristics capable of improving urban resilience and facilitating its understanding using a visual tool. The results demonstrate the usefulness of modelling resilience using geovisualization techniques to identify the potential for local resilience; integrate local stakeholders into a process of clarifying the concept through the contribution of visualization; and consider easier access to this concept based on data analysis, processing and visualization through the design of maps.

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Jiang, Ting Yao, Le Le Cui, and Jia Heng Li. "An Implementation of 3D Landslide Geological Modeling and Visualization." Advanced Materials Research 594-597 (November 2012): 2338–43. http://dx.doi.org/10.4028/www.scientific.net/amr.594-597.2338.

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Three-dimensional (3D) geological modeling and visualization of landslide is very important for landslide monitoring and stability evaluation. Unfortunately there have not been very efficient methods to realize this modeling and visualization process currently. An implementation of 3D landslide geological modeling and visualization based on a hybrid data structure of TIN and GTP is introduced in this paper. The proposed implementation method includes three sections: pre-processing terrain data for known or history data; 3D modeling of landslide terrain surface, slip surface and geological structure surfaces; construction of 3D landslide geological model and 3D visualization of landslide model through java 3D API. The introduced method contributes to a new approach to landslide research.

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Cai, Lijun, Xiangqing Guan, Peng Chi, Lei Chen, and Jianting Luo. "Big Data Visualization Collaborative Filtering Algorithm Based on RHadoop." International Journal of Distributed Sensor Networks 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/271253.

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With the rapid growth of various data, it is becoming increasingly important to extract useful information from big data. While the analysis tools of big data visualization is very rare, in this paper, we propose a new big data visualization algorithm analysis integrated model. The model integrates the processing of big data and the visualization of data as a whole. It is a good analysis tool of timely big data visualization. We use hadoop_1.X as the data storage and use R as the compiler environment in the model. If you are skilled in R, it is easy to design kinds of paralleling algorithms, and analyze and process the kinds of big data. Secondly we design and implement a paralleled collaborative filtering algorithm with the model. Finally we analyze the various performance indicators with kinds of experiments. The indicators show that the model has good scalability and easy operability, and contains all the advantages of Map Reduce. In conclusion, the big data visualization algorithm analysis integrated model has high performance to process and visualize the big data.

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Guo, Mingqiang, Liang Wu, and Zhong Xie. "An Efficient Parallel Map Visualization Framework for Large Vector Data." GEOMATICA 69, no. 1 (March 2015): 113–17. http://dx.doi.org/10.5623/cig2015-108.

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With the tremendous development of surveying and mapping technologies, the volume of vector data is becoming larger. For mapping workers and other GIS scientists, map visualization is one of the most common functions of GIS software. But it is also a time-consuming process when processing massive amounts of vector data. Especially in an Internet map service environment, large numbers of concurrent users can cause major processing delays. In order to address this issue, this paper develops an efficient parallel visualization framework for large vector data sets by leveraging the advantages and characteristics of graphics cards, focusing on storage strategy and transfer strategy. The test results demonstrate that this new approach can reduce the computing times for visualizing large vector maps.

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Zhao, Jun Wen, Shu Sen Wu, Guang Ze Dai, Jing Han, and Xing Min Huang. "Physic Simulation of Slurry Preparation by Ultrasonic Vibration in Semisolid Metal Processing." Materials Science Forum 704-705 (December 2011): 1279–83. http://dx.doi.org/10.4028/www.scientific.net/msf.704-705.1279.

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In current research, a series of visualization experiments simulating the action of ultrasonic vibration (UV) in metal slurry preparation process on fluid flow, grain nucleation and growth as well as its interaction with viscosity of fluids were conducted. In these visualization experiments, the metal slurry maker was substituted by a transparent cup while the liquid and semisolid slurry of metal were replaced by other fluids or mixture system with similar characteristics. Scaled-up UV was applied to the liquid or mixture systems. The simulation shows that UV can roll up the particles at the bottom of the cup and make the liquid convection intense below the radiating surface of sonotrode while weak above it. UV can break dendrites rapidly and distribute them in melt. High viscosity reduces the actual power transmitted into liquid, and higher viscosity requires higher inception power of UV.

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Ryabokony, Elena, Zoya Krecan, and Ludmila Shmakova. "Visualization of Educational Information as a Means of Enhancing the Cognitive Activity in Students." Bulletin of Kemerovo State University. Series: Humanities and Social Sciences 2020, no. 2 (October 2, 2020): 126–36. http://dx.doi.org/10.21603/2542-1840-2020-4-2-126-136.

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The article deals with information visualization techniques aimed at effective development of cognitive processes as parts of students' cognitive activity. The research featured the means of visualization of educational information that encourage the cognitive activity in students. The research objective was to identify, justify, and test the possibilities of using visualization tools for educational information. The cognitive activity is represented as a set of cognitive acts, namely explanation, understanding, and reflection. The authors believe that the process of interaction between participants in educational relations needs to be improved. The article focuses on the organization of the informational approach to training. It describes the stages of work with educational information: search for new material, its perception, processing, and application. The visualization technologies include mind maps and denotational graphs. Visualization technologies provide positive changes in students’ cognitive activity and develop cognitive motivation.

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Li, Xiao Gen, and Dong Bao Zhao. "About the Geological Hazards Analysis Based on GIS." Applied Mechanics and Materials 438-439 (October 2013): 1433–36. http://dx.doi.org/10.4028/www.scientific.net/amm.438-439.1433.

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In combination landslide evaluation with three-dimensional visualization of geographic information system and using virtual reality technology to build a 3D visualization platform for landslide assessment, as a whole, it is more vivid and intuitive synthesis of landslide visualization research. Based on the design principle of the analysis on system separately from the data acquisition and processing for construction of three-dimensional model, the landslide process rehearsal, stages of disaster evaluation and other aspects of the system are analyzed and studied, which provides a powerful tool for the study and prevention of geological disaster. Moreover, it can bring significant benefits to society, economic and ecological system.

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Zi, Lingling, and Junping Du. "Energy-Driven Image Interpolation Using Gaussian Process Regression." Journal of Applied Mathematics 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/435924.

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Image interpolation, as a method of obtaining a high-resolution image from the corresponding low-resolution image, is a classical problem in image processing. In this paper, we propose a novel energy-driven interpolation algorithm employing Gaussian process regression. In our algorithm, each interpolated pixel is predicted by a combination of two information sources: first is a statistical model adopted to mine underlying information, and second is an energy computation technique used to acquire information on pixel properties. We further demonstrate that our algorithm can not only achieve image interpolation, but also reduce noise in the original image. Our experiments show that the proposed algorithm can achieve encouraging performance in terms of image visualization and quantitative measures.

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FUJISAWA, Nobuyuki, Tosiaki KURIBARA, Masaji YOKOTA, Isao WATANABE, and Hiroshi TANAAMI. "Visualization and Image Processing of a Flow Mixing Process in an Air Conditioning Unit for Automobile." Journal of the Visualization Society of Japan 15, Supplement1 (1995): 47–50. http://dx.doi.org/10.3154/jvs.15.supplement1_47.

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Toschi, I., E. Nocerino, F. Remondino, A. Revolti, G. Soria, and S. Piffer. "GEOSPATIAL DATA PROCESSING FOR 3D CITY MODEL GENERATION, MANAGEMENT AND VISUALIZATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 527–34. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-527-2017.

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Recent developments of 3D technologies and tools have increased availability and relevance of 3D data (from 3D points to complete city models) in the geospatial and geo-information domains. Nevertheless, the potential of 3D data is still underexploited and mainly confined to visualization purposes. Therefore, the major challenge today is to create automatic procedures that make best use of available technologies and data for the benefits and needs of public administrations (PA) and national mapping agencies (NMA) involved in “smart city” applications. The paper aims to demonstrate a step forward in this process by presenting the results of the SENECA project (Smart and SustaiNablE City from Above – <a href="http://seneca.fbk.eu"target="_blank">http://seneca.fbk.eu</a>). State-of-the-art processing solutions are investigated in order to (i) efficiently exploit the photogrammetric workflow (aerial triangulation and dense image matching), (ii) derive topologically and geometrically accurate 3D geo-objects (i.e. building models) at various levels of detail and (iii) link geometries with non-spatial information within a 3D geo-database management system accessible via web-based client. The developed methodology is tested on two case studies, i.e. the cities of Trento (Italy) and Graz (Austria). Both spatial (i.e. nadir and oblique imagery) and non-spatial (i.e. cadastral information and building energy consumptions) data are collected and used as input for the project workflow, starting from 3D geometry capture and modelling in urban scenarios to geometry enrichment and management within a dedicated webGIS platform.

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Du, Bing, Wei Xing Huang, Nian Sheng Kuai, Jing Jie Yuan, Long Liu, Yi Dan Ren, and Yuan Gan. "Visualization Study of Dust Dispersion Process in Siwek 20-L Device for Dust Explosion Test." Applied Mechanics and Materials 590 (June 2014): 266–70. http://dx.doi.org/10.4028/www.scientific.net/amm.590.266.

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A visualization method is proposed in order to characterize the dispersion process of dust cloud in Siwek 20-L explosion device. The visualization system consists of a transparent spherical vessel, a dust dispersion device, a high precision control valve and a high-speed camera. Experiment with wheat flour powder indicate that the non-uniformity of dust cloud in space and time can be clearly distinguished based on the frame pictures, as well as the evolution of particles settlement with time after dispersion. Moreover, qualitative analysis based on picture processing technique was carried out to obtain the transmission data of dust cloud from the frame pictures. Results show that the transmission changes rapidly with time and reaches to the minimum value at about 60 ms after dispersion, and with this time, the optimum ignition delay time can be determined for dust explosion test in Siwek 20-L device.

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S, Manishankar, and S. Sathayanarayana. "Enhanced Big Data Platform for Visualization of Employee Data." JOIV : International Journal on Informatics Visualization 2, no. 3 (May 23, 2018): 169. http://dx.doi.org/10.30630/joiv.2.3.132.

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In this Digital world storage area capacity required for an Enterprise is quite huge, and processing that Big Data is one of the major challenging areas in today’s information technology. As the heterogeneous data from the various sources grow rapidly, there should be some proficient way for data storage for each enterprise. Most of the Enterprises have a tendency to migrate their data in to servers with high processing capability to handle variety and voluminous data. Major problem that arises in such big data servers of an Enterprise is the process involved in segregating data according to their types. In this research, an efficient methodology is proposed which handles the segregation of data inside a server with multi valued distribution-based clustering. These clustering-based solutions provide an efficient visualization of varying data in the server and also a separate visualization of employee data too. The paper discusses about the simulation of the clustering technique with respect to an Enterprise data and visualization of file storage structure and categorization of data, also it gives a picture of performance of the Big data server.

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Subramanian, Muthumeenakshi, B. Geethanjali, N. P. Guhan Seshadri, Bhavana Venkat, and R. Vijayalakshmi. "Visualization of Brain Activation During Attention-Demanding Tasks Using Cognitive Signal Processing." International Journal of Cognitive Informatics and Natural Intelligence 11, no. 1 (January 2017): 60–81. http://dx.doi.org/10.4018/ijcini.2017010105.

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Attention is the primary cognitive process to induce a response to a stimulus. The present study aims at evaluating the activation of different brain regions while performing an attention requiring task. The analysis is achieved with the help of electroencephalography (EEG) recorded simultaneously during the entire period of execution of task. The relative theta and gamma power were significantly higher (p=0.05) during task when compared to rest, whereas in alpha band the relative power was significantly higher (p=0.05) during rest when compared to task. Event related synchronization (ERS) and Event Related Desynchronization (ERD) in relative theta power and relative alpha power respectively was observed particularly in the parietal electrodes (associated with attention). Theta synchronisation and alpha desynchronization is associated with good performance further supported by the task performance with minimal errors. These event-related changes helped sustain attention and visualization of the activated brain regions was accomplished for a better depiction of the findings.

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Lyu, L., Q. Xu, Y. Zhou, S. Xing, W. Lu, and Y. Zhao. "RESEARCH ON THE DIGITAL SIMULATION FOR THE WHOLE PROCESS OF MARS EXPLORATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 629–35. http://dx.doi.org/10.5194/isprs-archives-xlii-2-629-2018.

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China has paid considerable attention to space exploration and made great strides in the field. The first Chinese Mars Exploration Mission will be carried out in 2020. Digital simulation has been proved to be an effective and efficient means for planning and deduction in many fields. Thus, it was introduced for the Mars exploration in this paper and key technologies was researched above three aspects. First of all, complicated time-space benchmark was combed to support the interplanetary simulation. Secondly, the multi-resolution pyramid model and indexing strategy were adopted to preprocess the geographical environment data, which ensured the efficiency of data loading, browsing, and querying. Then, the activity objects were abstracted and modelled based on four aspects, including property, ephemeris, geometry, and behavior. Therefore, a digital simulation system, called Sino-Mars, was developed. The architecture of Sino- Mars consists of five layers, including data collection, data processing, scenario modelling, visualization and application layer. Using the Chinese Mars Exploration Mission slated for 2020 as an example, we demonstrated the capabilities of Sino-Mars for data integration, visualization, process deduction, and auxiliary analysis.

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Vereshchagin, Fedor Viktorovich. "Processing and visualisation of a series of monochromatic images of regions of the Sun." Open Astronomy 31, no. 1 (January 1, 2022): 20–21. http://dx.doi.org/10.1515/astro-2022-0004.

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Abstract In order to process and visualise the monochromatic images of regions of the Sun obtained with the CCD multichannel spectroheliograph, the freely distributed programs ImageJ and ParaView were chosen and then fine-tuned. This reduced the time required to develop the data processing and visualization software for this instrument and also made it easier to make further corrections and additions to it.

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Janickas, Robertas. "CONSTRUCTION AND RESEARCH OF SYSTEM IDENTIFIABLE MATHEMATICAL MODELS / IDENTIFIKUOTINOS SISTEMOS MATEMATINIO MODELIO SUDARYMAS IR TYRIMAS." Mokslas - Lietuvos ateitis 3, no. 1 (August 22, 2011): 87–90. http://dx.doi.org/10.3846/mla.2011.018.

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Paper discusses about control and data acquisition, processing, visualization, which must be adapted to the investigation and examination of identification process. A description of the device, the functionality and customization possibilities are presented. The relevant experimental model and its characteristics are obtained for measurement, control results using this model.

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Couts-Lendon, Carrie, and Jack L. Koenig. "Visualization Strategies for Infrared Spectroscopic Images." Applied Spectroscopy 59, no. 6 (June 2005): 717–23. http://dx.doi.org/10.1366/0003702054280720.

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Although infrared imaging is becoming more commonplace and publications demonstrating its utility are on the rise, only a small portion of the literature involves visualization strategies and techniques. In order to fully realize the potential of imaging, visualization of the data in the form of images needs to be examined more thoroughly. Visualization techniques are discussed using the dynamic process of polymer dissolution. The dissolution of poly(ethylene oxide) (PEO) was captured as a series of images showing the changes of the polymer front brought about by the dissolving solvent. Using a unique infrared band for both the polymer and solvent, each species is tracked through the entire experiment. The ability to reconstruct the dissolution from the spatially resolved infrared data proves very valuable. However, the processing of the data is not trivial and steps must be taken to ensure that the images best display the specific attributes of the species. Scaling and color mapping are demonstrated to be two ways to achieve excellent imagery.

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Yin, Sai. "Explore the Use of Computer-Aided Design in the Landscape Renderings." Applied Mechanics and Materials 687-691 (November 2014): 1166–69. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1166.

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The landscape renderings project performance, landscape renderings important form of program scrutiny, accomplished by means of computer design has become the mainstream of the industry, it has performance visualization, and process reversible, diversified visual affects features. Computer graphics has three stages, namely modeling, rendering, and image processing, as opposed to proper professional graphics software; "3DSMAX + VRAY + PHOTOSHOP" is a typical process landscape renderings produced.

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Bustamante, Alexander, Laura Sebastia, and Eva Onaindia. "BITOUR: A Business Intelligence Platform for Tourism Analysis." ISPRS International Journal of Geo-Information 9, no. 11 (November 12, 2020): 671. http://dx.doi.org/10.3390/ijgi9110671.

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Integrating collaborative data in data-driven Business Intelligence (BI) system brings an opportunity to foster the decision-making process towards improving tourism competitiveness. This article presents BITOUR, a BI platform that integrates four collaborative data sources (Twitter, Openstreetmap, Tripadvisor and Airbnb). BITOUR follows a classical BI architecture and provides functionalities for data transformation, data processing, data analysis and data visualization. At the core of the data processing, BITOUR offers mechanisms to identify tourists in Twitter, assign tweets to attractions and accommodation sites from Tripadvisor and Airbnb, analyze sentiments in opinions issued by tourists, and all this using geolocation objects in Openstreetmap. With all these ingredients, BITOUR enables data analysis and visualization to answer questions like the most frequented places by tourists, the average stay length or the view of visitors of some particular destination.

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Sungheetha, Akey. "3D Image Processing using Machine Learning based Input Processing for Man-Machine Interaction." Journal of Innovative Image Processing 3, no. 1 (February 22, 2021): 1–6. http://dx.doi.org/10.36548/jiip.2021.1.001.

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In various real time applications, several assisted services are provided by the human-robot interaction (HRI). The concept of convergence of a three-dimensional (3D) image into a plane-based projection is used for object identification via digital visualization in robotic systems. Recognition errors occur as the projections in various planes are misidentified during the convergence process. These misidentifications in recognition of objects can be reduced by input processing scheme dependent on the projection technique. The conjoining indices are identified by projecting the input image in all possible dimensions and visualizing it. Machine learning algorithm is used for improving the processing speed and accuracy of recognition. Labeled analysis is used for segregation of the intersection without conjoined indices. Errors are prevented by identifying the non-correlating indices in the projections of possible dimension. The inputs are correlated with related inputs that are stored with labels thereby preventing matching of the indices and deviations in the planes. Error, complexity, time and recognition ratio metrics are verified for the proposed model.

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Zhou, Yao Dong, Zhong Xue Li, Cui Ping Li, and Zhi Guo Cao. "Design and Realization of Mine Water-Inrush Visualization Simulation System." Advanced Materials Research 383-390 (November 2011): 6632–40. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.6632.

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There exists a high risk of water-inrush in mining activities. Therefore, it is critical to develop a conceptual model of Mine Water-inrush, especially for the underground environment. The general structure of Mine Water-inrush Simulation System consists of core network, the underground monitoring network, and the operational system. Through the application of data processing system, simulation system and the application system, the original data can be processed. The results is then passed to the operators and managers, which require them increase the understanding of factors leading to accidents and consequently take action to improve mining safety. This new water-inrush model captures three characteristics to regard the mine water-inrush: the inrush sources, inrush process, and submerging process. Virtual length has been applied to the model, which is combined with a Traversal Algorithm, can be used to calculate the area of increased influence over time for each process. Based on the collected data from a real mine, the underground excavations and a virtual water-inrush disaster process were simulated, which shows that the system operates reliably.

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Chen, Chen. "Biomechanical Process of Skeletal Muscle under Training Condition Based on 3D Visualization Technology." Journal of Healthcare Engineering 2022 (February 8, 2022): 1–9. http://dx.doi.org/10.1155/2022/2656405.

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With the development and popularization of 3D technology, human behavior recognition has gradually developed from plane feature recognition to elevation feature recognition. In the process of collecting motion characteristics, the research on skeletal muscle will lead to a series of data in time series, which is the basis of sports biomechanics research and sports training. Some important semantic information such as centerline and joint center can be obtained by further data processing. The results of the study showed that the three-dimensional coordinate positions of the femur and pelvic attachment points of the muscles surrounding the hip joint from the pelvis were measured and positioned. A 3D model is built to simulate the human skeletal model subjected to speeds of 3 and 7 m/s, and different motion velocities can exhibit different motions. The research in this study shows that using 3D technology and comprehensively utilizing the expertise of biomechanical analysis and graphical modeling to study the mechanical properties of bone joints and soft tissues provide new ways and methods.

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Journal articles on the topic 'Visualization of the processing process'

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