Relevant bibliographies by topics / Visualization of the processing process

Academic literature on the topic 'Visualization of the processing process'

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Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "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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Dissertations / Theses on the topic "Visualization of the processing process"

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Gomes, Ricardo Rafael Baptista. "Long-term biosignals visualization and processing." Master's thesis, Faculdade de Ciências e Tecnologia, 2011. http://hdl.handle.net/10362/7979.

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Thesis submitted in the fulfillment of the requirements for the Degree of Master in Biomedical Engineering
Long-term biosignals acquisitions are an important source of information about the patients’state and its evolution. However, long-term biosignals monitoring involves managing extremely large datasets, which makes signal visualization and processing a complex task. To overcome these problems, a new data structure to manage long-term biosignals was developed. Based on this new data structure, dedicated tools for long-term biosignals visualization and processing were implemented. A multilevel visualization tool for any type of biosignals, based on subsampling is presented, focused on four representative signal parameters (mean, maximum, minimum and standard deviation error). The visualization tool enables an overview of the entire signal and a more detailed visualization in specific parts which we want to highlight, allowing an user friendly interaction that leads to an easier signal exploring. The ”map” and ”reduce” concept is also exposed for long-term biosignal processing. A processing tool (ECG peak detection) was adapted for long-term biosignals. In order to test the developed algorithm, long-term biosignals acquisitions (approximately 8 hours each) were carried out. The visualization tool has proven to be faster than the standard methods, allowing a fast navigation over the different visualization levels of biosignals. Regarding the developed processing algorithm, it detected the peaks of long-term ECG signals with fewer time consuming than the nonparalell processing algorithm. The non-specific characteristics of the new data structure, visualization tool and the speed improvement in signal processing introduced by these algorithms makes them powerful tools for long-term biosignals visualization and processing.
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Reach, Andrew McCaleb. "Smooth Interactive Visualization." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78848.

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Information visualization is a powerful tool for understanding large datasets. However, many commonly-used techniques in information visualization are not C^1 smooth, i.e. when represented as a function, they are either discontinuous or have a discontinuous first derivative. For example, histograms are a non-smooth visualization of density. Not only are histograms non-smooth visually, but they are also non-smooth over their parameter space, as they change abruptly in response to smooth change of bin width or bin offset. For large data visualization, histograms are commonly used in place of smooth alternatives, such as kernel density plots, because histograms can be constructed from data cubes, allowing histograms to be constructed quickly for large datasets. Another example of a non-smooth technique in information visualization is the commonly-used transition approach to animation. Although transitions are designed to create smooth animations, the transition technique produces animations that have velocity discontinuities if the target is changed before the transition has finished. The smooth and efficient zooming and panning technique also shares this problem---the animations produced are smooth while in-flight, but they have velocity discontinuities at the beginning and end and of the animation as well as velocity discontinuities when interrupted. This dissertation applies ideas from signal processing to construct smooth alternatives to these non-smooth techniques. To visualize density for large datasets, we propose BLOCs, a smooth alternative to data cubes that allows kernel density plots to be constructed quickly for large datasets after an initial preprocessing step. To create animations that are smooth even when interrupted, we present LTI animation, a technique that uses LTI filters to create animations that are smooth, even when interrupted. To create zooming and panning animations that are smooth, even when interrupted, we generalize signal processing systems to Riemannian manifolds, resulting in smooth, efficient, and interruptible animations.
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MacDonald, Darren T. "Image segment processing for analysis and visualization." Thesis, University of Ottawa (Canada), 2008. http://hdl.handle.net/10393/27641.

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This thesis is a study of the probabilistic relationship between objects in an image and image appearance. We give a hierarchical, probabilistic criterion for the Bayesian segmentation of photographic images. We validate the segmentation against the Berkeley Segmentation Data Set, where human subjects were asked to partition digital images into segments each representing a 'distinguished thing'. We show that there exists a strong dependency between the hierarchical segmentation criterion, based on our assumptions about the visual appearance of objects, and the distribution of ground truth data. That is, if two pixels have similar visual properties then they will often have the same ground truth state. Segmentation accuracy is quantified by measuring the information cross-entropy between the ground truth probability distribution and an estimate obtained from the segmentation. We consider the proposed method for estimating joint ground truth probability to be an important tool for future image analysis and visualization work.
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Таран, Євгеній Сергійович. "Оправка розточна збірна." Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2019. https://ela.kpi.ua/handle/123456789/31456.

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Метою дипломного проекту є проектування оправки розточної збірної, яка застосовується для обробки внутрішніх та зовнішніх циліндричних поверхонь, свердління отвору, точіння внутрішніх канавок та підрізання торця. Даний інструмент оснащений змінними твердосплавними пластинами, які надійно закріплені в корпусі інструменту. Також було проаналізовано конструкції інструментів для оброблення різних типів поверхонь, створене робоче креслення та 3D модель інструменту, розроблено технологію виготовлення і розраховано режими різання, вибрано та розраховано технологічне пристосування для фрезерування посадочних поверхонь під пластину з твердого сплаву, представлена керуюча програма для верстату з ЧПК та візуалізація процесу обробки.
The purpose of the diploma project is the design of the mandrel of the blade assembly, which is used for the treatment of internal and external cylindrical surfaces, drilling a hole, rolling the grooves and triming the ends. This tool is equipped with replaceable carbide plates, which are securely mounted in the tool casing. The structure of the tools for processing various types of surfaces was also analyzed, a working drawing and a 3D model of the tool were created, a production technology was developed and cutting patterns were calculated, a technological device for milling the landing surfaces under a solid alloy plate was selected and calculated, the control program for the CNC machine and visualization of the processing process are presented.
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Wikström, Anders. "A Design Process Based on Visualization." Licentiate thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-10395.

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The global market of today is tough and the competition between companies demands new ways of developing products and services. The current challenge for the design research community is to provide designers with a wider range of methods and tools to support specific activities within the design process and to improve its overall coordination. It is uncertain whether problem-solving alone can be the tool for developing even simple products or services, as we are less open to the variety of opportunities that arise in the process. When approaching a problem, the cognitive mindset demanded to solve the problem differs from that required when searching for opportunities in creating something completely new. This emphasizes the importance of design thinking, using tools and methods for conducting Human Centered Design (HCD), empathy, and intuition along with the use of visualization. By focusing on the creative process and the use of sketches or models, this research will explore the possibility to develop tools and methods for conducting NPD projects in a more efficient, effective way. This research provides a prescriptive model of using visualization in New Product Development (NPD). This model is a result of clarifying the problem, understanding the factors that affect the problem and the development of support and a solution for implementing the model in industry. The model works as a supportive tool for project teams and guidelines for management.
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Marokkey, Sajan Raphael. "Digital techniques for dynamic visualization in photomechanics." Thesis, Hong Kong : University of Hong Kong, 1995. http://sunzi.lib.hku.hk/hkuto/record.jsp?B14670896.

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Hicks, Jeremy L. "Visualization of polymer processing at the continuum level." Connect to this title online, 2006. http://etd.lib.clemson.edu/documents/1171902589/.

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Zhao, Hongyan. "A visualization tool to support Online Analytical Processing." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE0000622.

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Al, Beayeyz Alaa. "The Effect of It Process Support, Process Visualization and Process Characteristics on Process Outcomes." Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc407777/.

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Business process re-engineering (part of the Business Process Management domain) is among the top three concerns of Information Technology (IT) leaders and is deemed to be one of many important IT leveraging opportunities. Two major challenges have been identified in relation to BPM and the use of IT. The first challenge is related to involving business process participants in process improvement initiatives using BPM systems. BPM technologies are considered to be primarily targeted for developers and not BPM users, and the need to engage process participants into process improvement initiatives is not addressed, contributing to the business-IT gap. The second challenge is related to potential de-skilling of knowledge workers when knowledge-intensive processes are automated and process knowledge resides in IT, rather than human process participants. The two identified challenges are not separate issues. Process participants need to be knowledgeable about the process in order to actively contribute to BPM initiatives, and the loss of process knowledge as a result of passive use of automated systems may further threaten their participation in process improvement. In response to the call for more research on the individual impacts of business process initiatives, the purpose of this dissertation study is to understand the relationship between IT configurations (particularly process support and process visualization), process characteristics and individual level process outcomes, such as task performance and process knowledge. In the development of the research model we rely on organizational knowledge creation literature and scaffolding in Vygotsky’s Zone of Proximal Development, business process modeling and workflow automation research, as well as research on the influence of IT on individual performance. The theoretical model is tested empirically in experimental settings using a series of two studies. In both studies participants were asked to complete tasks as part of a business process using different versions of a mock-up information system. Together, the studies evaluate the effect of IT process support, process visualization and process complexity on process participant performance and process knowledge. The results of the studies show the significant influence of IT process support on individual process outcomes. The studies indicate that task performance does increase but at the cost of users’ process knowledge. Process visualization however is shown to enhance user’s process knowledge in the event of no formal process training while having no negative impact on task performance. The key contribution of this research is that it suggests a practical way to counteract potential negative effects of IT process automation by converting the use of the information system into a learning experience, where the IT itself acts as a scaffold for the acquisition of process knowledge. The results have practical implications for the design of workflow automation systems, as well as for process training.
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Park, Joonam. "A visualization system for nonlinear frame analysis." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/19172.

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Books on the topic "Visualization of the processing process"

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Mayr, Herwig. Virtual automation environments: Design, modeling, visualization, simulation. New York: Marcel Dekker, 2002.

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Kotyra, Andrzej. Diagnostyka procesu spalania pyłu węglowego z wykorzystaniem metod przetwarzania obrazu. Lublin: Politechnika Lubelska, 2010.

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Uemura, Tomomasa, Yoshiaki Ueda, and Manabu Iguchi. Flow Visualization in Materials Processing. Tokyo: Springer Japan, 2018. http://dx.doi.org/10.1007/978-4-431-56567-3.

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Process visualization: An executive guide to business process design. Etobicoke, ON: J. Wiley & Sons Canada, 2002.

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Laidlaw, David, and Joachim Weickert, eds. Visualization and Processing of Tensor Fields. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88378-4.

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Weickert, Joachim, and Hans Hagen, eds. Visualization and Processing of Tensor Fields. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-31272-2.

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Grave, Michel. Visualization in Scientific Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994.

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Wolff, Robert S. Visualization of natural phenomena. Santa Clara, Calif: TELOS, 1993.

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Post, Frits H. Advances in Scientific Visualization. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.

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Nieuwstadt, F. T. M. Flow Visualization and Image Analysis. Dordrecht: Springer Netherlands, 1993.

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Book chapters on the topic "Visualization of the processing process"

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Pini, A., R. Brown, and M. T. Wynn. "Process Visualization Techniques for Multi-perspective Process Comparisons." In Lecture Notes in Business Information Processing, 183–97. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19509-4_14.

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Schuster, Daniel, Lukas Schade, Sebastiaan J. van Zelst, and Wil M. P. van der Aalst. "Visualizing Trace Variants from Partially Ordered Event Data." In Lecture Notes in Business Information Processing, 34–46. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98581-3_3.

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AbstractExecuting operational processes generates event data, which contain information on the executed process activities. Process mining techniques allow to systematically analyze event data to gain insights that are then used to optimize processes. Visual analytics for event data are essential for the application of process mining. Visualizing unique process executions—also called trace variants, i.e., unique sequences of executed process activities—is a common technique implemented in many scientific and industrial process mining applications. Most existing visualizations assume a total order on the executed process activities, i.e., these techniques assume that process activities are atomic and were executed at a specific point in time. In reality, however, the executions of activities are not atomic. Multiple timestamps are recorded for an executed process activity, e.g., a start-timestamp and a complete-timestamp. Therefore, the execution of process activities may overlap and, thus, cannot be represented as a total order if more than one timestamp is to be considered. In this paper, we present a visualization approach for trace variants that incorporates start- and complete-timestamps of activities.
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Mattila, Anna-Liisa, Kari Systä, Outi Sievi-Korte, Marko Leppänen, and Tommi Mikkonen. "Discovering Software Process Deviations Using Visualizations." In Lecture Notes in Business Information Processing, 259–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57633-6_18.

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Delias, Pavlos, and Ioannis Kazanidis. "Process Analytics Through Event Databases: Potentials for Visualizations and Process Mining." In Lecture Notes in Business Information Processing, 88–100. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57487-5_7.

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Pacheco, Alexia, Gabriela Marín-Raventós, and Gustavo López. "Designing a Technical Debt Visualization Tool to Improve Stakeholder Communication in the Decision-Making Process: A Case Study." In Lecture Notes in Business Information Processing, 15–26. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99040-8_2.

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Gall, Manuel, and Stefanie Rinderle-Ma. "Evaluating Compliance State Visualizations for Multiple Process Models and Instances." In Lecture Notes in Business Information Processing, 126–42. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85440-9_8.

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Tavazzi, Erica, Camille L. Gerard, Olivier Michielin, Alexandre Wicky, Roberto Gatta, and Michel A. Cuendet. "A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset." In Lecture Notes in Business Information Processing, 291–304. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72693-5_22.

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AbstractThanks to its ability to offer a time-oriented perspective on the clinical events that define the patient’s path of care, Process Mining (PM) is assuming an emerging role in clinical data analytics. PM’s ability to exploit time-series data and to build processes without any a priori knowledge suggests interesting synergies with the most common statistical analyses in healthcare, in particular survival analysis. In this work we demonstrate contributions of our process-oriented approach in analyzing a real-world retrospective dataset of patients treated for advanced melanoma at the Lausanne University Hospital. Addressing the clinical questions raised by our oncologists, we integrated PM in almost all the steps of a common statistical analysis. We show: (1) how PM can be leveraged to improve the quality of the data (data cleaning/pre-processing), (2) how PM can provide efficient data visualizations that support and/or suggest clinical hypotheses, also allowing to check the consistency between real and expected processes (descriptive statistics), and (3) how PM can assist in querying or re-expressing the data in terms of pre-defined reference workflows for testing survival differences among sub-cohorts (statistical inference). We exploit a rich set of PM tools for querying the event logs, inspecting the processes using statistical hypothesis testing, and performing conformance checking analyses to identify patterns in patient clinical paths and study the effects of different treatment sequences in our cohort.
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Peralta, Alvaro Jose, Nguyen Tuan Thanh Le, Serge Stinckwich, Chihab Hanachi, Alexandre Bergel, and Tuong Vinh Ho. "A Tool for Assessing Quality of Rescue Plans by Combining Visualizations of Different Business Process Perspectives." In Lecture Notes in Business Information Processing, 155–66. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24399-3_14.

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Gomez, Flavio, Diego Iquira, and Ana Maria Cuadros. "Application of the KDD Process for the Visualization of Integrated Geo-Referenced Textual Data from the Pre-processing Phase." In Web and Wireless Geographical Information Systems, 41–50. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90053-7_5.

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Zhang, Zixin, Tong Yin, Xin Huang, and Fan Zhang. "An Automatic Data Processing Method for Deformation Analysis and Visualization of Tunnel Cross Sections Using Laser Scanning Data." In Proceedings of GeoShanghai 2018 International Conference: Multi-physics Processes in Soil Mechanics and Advances in Geotechnical Testing, 436–48. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0095-0_49.

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Conference papers on the topic "Visualization of the processing process"

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Stastny, Jiri, Vladislav Skorpil, and Jiri Fejfar. "Visualization of uncertainty in LANDSAT classification process." In 2015 38th International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2015. http://dx.doi.org/10.1109/tsp.2015.7296374.

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Zou, Xiang, Xiangyang Wang, Wanggen Wan, Xiao Cheng, and Chenglin Shi. "The etching process modeling and visualization for lithography simulation." In 2010 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2010. http://dx.doi.org/10.1109/icalip.2010.5684615.

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Молотков, Андрей, Andrey Molotkov, Ольга Третьякова, and Ol'ga Tret'yakova. "Visualization of the process of selective laser melting." In 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-1-78-81.

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This paper deals with the visualization of the previously simulated by the authors selective laser melting process in order to simplify the analysis of the results and the selection of technological parameters of the additive production unit. The article presents two possible approaches for visualization of the selective laser fusion process and supported functions which simplify the work and research in the framework of the new technology. The implemented approaches will reduce the requirements for the level of training of specialists working on Russian-made equipment. In the two-dimensional visualization mode, the emphasis is on the possibility of a more detailed study of the process. In a three-dimensional there is the ability of the broader scope and to see the big picture. Several implemented principles of geometry simplification for visual representation are considered. The advantages and disadvantages of the work done and the results obtained are presented.
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Liu, Jian, Xin Zhang, and Kai Li. "Study on Data Process and Visualization System of Tide and Tidal Current." In 2009 2nd International Congress on Image and Signal Processing (CISP). IEEE, 2009. http://dx.doi.org/10.1109/cisp.2009.5301230.

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Макарова, Елена, Elena Makarova, Дмитрий Лагерев, Dmitriy Lagerev, Федор Лозбинев, and Fedor Lozbinev. "Features of Big Text Data Visualization for Managerial Decision Making." In 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-2-99-102.

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This paper describes text data analysis in the course of managerial decision making. The process of collecting textual data for further analysis as well as the use of visualization in human control over the correctness of data collection is considered in depth. An algorithm modification for creating an "n-gram cloud" visualization is proposed, which can help to make visualization accessible to people with visual impairments. Also, a method of visualization of n-gram vector representation models (word embedding) is proposed. On the basis of the conducted research, a part of a software package was implemented, which is responsible for creating interactive visualizations in a browser and interoperating with them.
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Wang, Ziyi, and Hongjun Li. "Visualization of Plant Leaf Classification Process Based on Multi-Layer Network Model." In ICIGP 2022: 2022 the 5th International Conference on Image and Graphics Processing. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3512388.3512430.

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Basener, Bill, Ariel Schlamm, David Messinger, and Emmett Ientilucci. "A detection-identification process with geometric target detection and subpixel spectral visualization." In 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2011. http://dx.doi.org/10.1109/whispers.2011.6080948.

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Danesi, Frederic, Nicolas Gardan, Michael Reimeringer, and Elvis Kwassi. "Design Process Automation and Optimization using Industrial Knowledge based Simulation and Design." In Visualization, Imaging and Image Processing / 783: Modelling and Simulation / 784: Wireless Communications. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.783-062.

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Фаныгина, Анна, Anna Fanygina, Юлия Ризен, and Yuliya Rizen. "Children's book illustration as a communication process." In 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-1-234-236.

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The article is devoted to features in a process of creating Children's book illustrations. In this article, illustration is considered not only as a visualization of the text part of the book, but also as the main source of getting information.
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Maeda, Masanobu, Jun Sakakibara, and Koichi Hishida. "Image Processing and Transport Visualization at InterfacesFIELD MEASUREMENTS OF VELOCITY AND TEMPERATURE BY DIGITAL SIGNAL PROCESSING." In International Symposium on Imaging in Transport Processes. Connecticut: Begellhouse, 1992. http://dx.doi.org/10.1615/ichmt.1992.intsympimgtranspproc.210.

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Reports on the topic "Visualization of the processing process"

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DeMarle, David, and Andrew Bauer. In situ visualization with temporal caching. Engineer Research and Development Center (U.S.), January 2022. http://dx.doi.org/10.21079/11681/43042.

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In situ visualization is a technique in which plots and other visual analyses are performed in tandem with numerical simulation processes in order to better utilize HPC machine resources. Especially with unattended exploratory engineering simulation analyses, events may occur during the run, which justify supplemental processing. Sometimes though, when the events do occur, the phenomena of interest includes the physics that precipitated the events and this may be the key insight into understanding the phenomena that is being simulated. In situ temporal caching is the temporary storing of produced data in memory for possible later analysis including time varying visualization. The later analysis and visualization still occurs during the simulation run but not until after the significant events have been detected. In this article, we demonstrate how temporal caching can be used with in-line in situ visualization to reduce simulation run-time while still capturing essential simulation results.
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Bauer, Andrew, James Forsythe, Jayanarayanan Sitaraman, Andrew Wissink, Buvana Jayaraman, and Robert Haehnel. In situ analysis and visualization to enable better workflows with CREATE-AV™ Helios. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40846.

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The CREATE-AV™ Helios CFD simulation code has been used to accurately predict rotorcraft performance under a variety of flight conditions. The Helios package contains a suite of tools that contain almost the entire set of functionality needed for a variety of workflows. These workflows include tools customized to properly specify many in situ analysis and visualization capabilities appropriate for rotorcraft analysis. In situ is the process of computing analysis and visualization information during a simulation run before data is saved to disk. In situ has been referred to with a variety of terms including co-processing, covisualization, coviz, etc. In this paper we describe the customization of the pre-processing GUI and corresponding development of the Helios solver code-base to effectively implement in situ analysis and visualization to reduce file IO and speed up workflows for CFD analysts. We showcase how the workflow enables the wide variety of Helios users to effectively work in post-processing tools they are already familiar with as opposed to forcing them to learn new tools in order post-process in situ data extracts being produced by Helios. These data extracts include various sources of information customized to Helios, such as knowledge about the near- and off-body grids, internal surface extracts with patch information, and volumetric extracts meant for fast post-processing of data. Additionally, we demonstrate how in situ can be used by workflow automation tools to help convey information to the user that would be much more difficult when using full data dumps.
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Mazorchuk, Mariia S., Tetyana S. Vakulenko, Anna O. Bychko, Olena H. Kuzminska, and Oleksandr V. Prokhorov. Cloud technologies and learning analytics: web application for PISA results analysis and visualization. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4451.

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This article analyzes the ways to apply Learning Analytics, Cloud Technologies, and Big Data in the field of education on the international level. This paper provides examples of international analytical researches and cloud technologies used to process the results of those researches. It considers the PISA research methodology and related tools, including the IDB Analyzer application, free R intsvy environment for processing statistical data, and cloud-based web application PISA Data Explorer. The paper justifies the necessity of creating a stand-alone web application that supports Ukrainian localization and provides Ukrainian researchers with rapid access to well-structured PISA data. In particular, such an application should provide for data across the factorial features and indicators applied at the country level and demonstrate the Ukrainian indicators compared to the other countries’ results. This paper includes a description of the application core functionalities, architecture, and technologies used for development. The proposed solution leverages the shiny package available with R environment that allows implementing both the UI and server sides of the application. The technical implementation is a proven solution that allows for simplifying the access to PISA data for Ukrainian researchers and helping them utilize the calculation results on the key features without having to apply tools for processing statistical data.
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Berney, Ernest, Andrew Ward, and Naveen Ganesh. First generation automated assessment of airfield damage using LiDAR point clouds. Engineer Research and Development Center (U.S.), March 2021. http://dx.doi.org/10.21079/11681/40042.

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This research developed an automated software technique for identifying type, size, and location of man-made airfield damage including craters, spalls, and camouflets from a digitized three-dimensional point cloud of the airfield surface. Point clouds were initially generated from Light Detection and Ranging (LiDAR) sensors mounted on elevated lifts to simulate aerial data collection and, later, an actual unmanned aerial system. LiDAR data provided a high-resolution, globally positioned, and dimensionally scaled point cloud exported in a LAS file format that was automatically retrieved and processed using volumetric detection algorithms developed in the MATLAB software environment. Developed MATLAB algorithms used a three-stage filling technique to identify the boundaries of craters first, then spalls, then camouflets, and scaled their sizes based on the greatest pointwise extents. All pavement damages and their locations were saved as shapefiles and uploaded into the GeoExPT processing environment for visualization and quality control. This technique requires no user input between data collection and GeoExPT visualization, allowing for a completely automated software analysis with all filters and data processing hidden from the user.
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Simon, Luke. Visualization for Hyper-Heuristics: Back-End Processing. Office of Scientific and Technical Information (OSTI), March 2015. http://dx.doi.org/10.2172/1177600.

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Hanson, Ronald K. Advanced Flow Visualization and Image Processing Instrumentation. Fort Belvoir, VA: Defense Technical Information Center, July 1986. http://dx.doi.org/10.21236/ada224574.

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Wiltzuis, D. P. Modeling and analyzing visualization post-processing over distance. Office of Scientific and Technical Information (OSTI), May 1997. http://dx.doi.org/10.2172/665629.

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Bauer, Andrew, and Berk Geveci. Computational Fluid Dynamics Co-processing for Unsteady Visualization. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada570113.

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Adhinarayanan, Vignesh. Performance, power, and energy of in-situ and post-processing visualization. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1222685.

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Fedkiw, Ron. Algorithm Design for Computational Fluid Dynamics, Scientific Visualization, and Image Processing. Fort Belvoir, VA: Defense Technical Information Center, January 2007. http://dx.doi.org/10.21236/ada461529.

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