Journal articles: 'Mobile data visualization'

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Svalina, Ana, Jesenka Pibernik, Jurica Dolić, and Lidija Mandić. "Assessing the Design of Interactive Radial Data Visualizations for Mobile Devices." Journal of Imaging 9, no. 5 (May 14, 2023): 100. http://dx.doi.org/10.3390/jimaging9050100.

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The growing use of mobile devices in daily life has led to an increased demand for the display of large amounts of data. In response, radial visualizations have emerged as a popular type of visualization in mobile applications due to their visual appeal. However, previous research has highlighted issues with these visualizations, namely misinterpretation due to their column length and angles. This study aims to provide guidelines for designing interactive visualizations on mobile devices and new evaluation methods based on the results of an empirical study. The perception of four types of circular visualizations on mobile devices was assessed through user interaction. All four types of circular visualizations were found to be suitable for use within mobile activity tracking applications, with no statistically significant difference in responses by type of visualization or interaction. However, distinguishing characteristics of each visualization type were revealed depending on the category that is in focus (memorability, readability, understanding, enjoyment, and engagement). The research outcomes provide guidelines for designing interactive radial visualizations on mobile devices, enhance the user experience, and introduce new evaluation methods. The study’s results have significant implications for the design of visualizations on mobile devices, particularly in activity tracking applications.

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Engebretsen, Martin, Helen Kennedy, and Wibke Weber. "Data Visualization in Scandinavian Newsrooms." Nordicom Review 39, no. 2 (December 31, 2018): 3–18. http://dx.doi.org/10.2478/nor-2018-0007.

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Abstract The visualization of numeric data is becoming an important element in journalism. In this article, we present an interview study investigating data visualization practices in Scandinavian newsrooms. Editorial leaders, data journalists, developers and graphic designers in 10 major news organizations in Norway, Sweden and Denmark provide information for the study on a range of issues concerning visualization practices and experiences. The emergence of multi-skilled specialist groups as well as innovation in technology and the ‘mobile first mantra’ are identified as important factors in the fast-developing practices of journalistic data visualization. Elements of tension and negotiation are revealed for issues concerning the role and effect of complex exploratory data visualizations and concerning the role of ordinary journalists in the production of charts and graphs.

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Shaikh, Jawad, Rishabh Masani, Maaz Khan, and Afzal Sayed. "Doctor Mobile System for Data Visualization." International Journal of Computer Applications 180, no. 23 (February 22, 2018): 41–45. http://dx.doi.org/10.5120/ijca2018916506.

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Badam, Sriram Karthik, and Niklas Elmqvist. "Effects of screen-responsive visualization on data comprehension." Information Visualization 20, no. 4 (August 18, 2021): 229–44. http://dx.doi.org/10.1177/14738716211038614.

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Visualization interfaces designed for heterogeneous devices such as wall displays and mobile screens must be responsive to varying display dimensions, resolution, and interaction capabilities. In this paper, we report on two user studies of visual representations for large versus small displays. The goal of our experiments was to investigate differences between a large vertical display and a mobile hand-held display in terms of the data comprehension and the quality of resulting insights. To this end, we developed a visual interface with a coordinated multiple view layout for the large display and two alternative designs of the same interface – a space-saving boundary visualization layout and an overview layout – for the mobile condition. The first experiment was a controlled laboratory study designed to evaluate the effect of display size on the perception of changes in a visual representation, and yielded significant correctness differences even while completion time remained similar. The second evaluation was a qualitative study in a practical setting and showed that participants were able to easily associate and work with the responsive visualizations. Based on the results, we conclude the paper by providing new guidelines for screen-responsive visualization interfaces.

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Eggert, D., and M. Sester. "Multi-Layer Visualization of Mobile Mapping Data." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-5/W2 (October 16, 2013): 73–78. http://dx.doi.org/10.5194/isprsannals-ii-5-w2-73-2013.

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Kim, Sung-Hee. "A Systematic Review on Visualizations for Self-Generated Health Data for Daily Activities." International Journal of Environmental Research and Public Health 19, no. 18 (September 6, 2022): 11166. http://dx.doi.org/10.3390/ijerph191811166.

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Due to the development of sensing technology people can easily track their health in various ways, and the interest in personal healthcare data is increasing. Individuals are interested in controlling their wellness, which requires self-awareness and an understanding of various health conditions. Self-generated health data are easily accessed through mobile devices, and data visualization is commonly used in applications. A systematic literature review was conducted to better understand the role of visualizations and learn how to develop effective ones. Thirteen papers were analyzed for types of data, characteristics of visualizations, and effectiveness for healthcare management. The papers were selected because they represented research on personal health data and visualization in a non-clinical setting, and included health data tracked in everyday life. This paper suggests six levels for categorizing the efficacy of visualizations that take into account cognitive and physical changes in users. Recommendations for future work on conducting evaluations are also identified. This work provides a foundation for personal healthcare data as more applications are developed for mobile and wearable devices.

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Eggert, D., and E. C. Schulze. "Visualization of Mobile Mapping Data via Parallax Scrolling." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3 (August 11, 2014): 89–94. http://dx.doi.org/10.5194/isprsarchives-xl-3-89-2014.

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Visualizing big point-clouds, such as those derived from mobile mapping data, is not an easy task. Therefore many approaches have been proposed, based on either reducing the overall amount of data or the amount of data that is currently displayed to the user. Furthermore, an entirely free navigation within such a point-cloud is also not always intuitive using the usual input devices. This work proposes a visualization scheme for massive mobile mapping data inspired by a multiplane camera model also known as parallax scrolling. This technique, albeit entirely two-dimensional, creates a depth illusion by moving a number of overlapping partially transparent image layers at various speeds. The generation of such layered models from mobile mapping data greatly reduces the amount of data up to about 98 % depending on the used image resolution. Finally, it is well suited for the panoramic-fashioned visualization of the environment of a moving car.

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Elmqvist, Niklas. "Data Analytics Anywhere and Everywhere." Communications of the ACM 66, no. 12 (November 17, 2023): 52–63. http://dx.doi.org/10.1145/3584858.

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Hani Roslee, Nurul Adhlina, and Nurul Hidayah Bt Ab Rahman. "A Visualization Approach to Analyze Android Smartphone Data." JOIV : International Journal on Informatics Visualization 2, no. 3-2 (June 6, 2018): 184. http://dx.doi.org/10.30630/joiv.2.3-2.137.

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This study aims to design and develop an interactive system that can visualize evidence collected from Android smartphone data. This project is developing to support forensic investigator in investigating the security incidents particularly involving Android smartphone forensic data. The used of smartphone in crime was widely recognized. Several types of personnel information are stored in their smartphones. When the investigator analyses the image data of the smartphone, the investigator can know the behaviour of the smartphone’s owner and his social relationship with other people. The analysis of smartphone forensic data is cover in mobile device forensic. Mobile device forensics is a branch of digital forensics relating to recovery of digital evidence from a mobile device under forensically sound condition. The digital investigation model used in this project is the model proposed by United States National Institute of Justice (NIJ) which consists four phases, which are collection phase, examination phase, analysis phase and presentation phase. This project related with analysis phase and presentation phase only. This paper introduces Visroid, a new tool that provides a suite of visualization for Android smartphone data.

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Jackelyn Trinidad. "Web-based accreditation with mobile data reporting and visualization." South Asian Journal of Engineering and Technology 12, no. 1 (March 31, 2022): 32–40. http://dx.doi.org/10.26524/sajet.2022.12.06.

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Accreditation is the formal recognition of an educational program that possesses a high level of quality based on the analysis of the merits of its educational operations in attaining its objectives and its role in the community that it serves. Institutions in Higher Education (HEIs) play a very significant role in making a country to be competitive globally through the skilled human capital resources it produces. The function is intimidating as the institution has to regularly check itself against the global standards in place and keep itself updated on the latest demands of the labor market. This is about investing in a considerable amount of resources to develop its faculty, research, and facilities. (Pacquaio et. Al; 2012)The study aimed to develop a Web-based Accreditation with Data Reporting and Visualization for Program Accreditation. The study was for the management and monitoring of the required documents in all areas of accreditation especially in the Computer Science Program by utilizing this system. This system would assist the users to monitor the progress of each area of accreditation effectively. It is controlled by the system administrator that can add and manage user accounts, programs, and content to the system. The people assigned can upload documents in PDF (Portable Document Format) or .pdf and exchange notes with each other.The system evaluation was based on the standard set by International Standardization Organization, the ISO 25010 which was used to evaluate software products. The variables that were needed to test the system were functional suitability, usability, security, compatibility, portability, and maintainability provided in the questionnaire which would establish the credibility of this research through the scientific approach used in statistical treatment which was later interpreted and analyzed to give findings.The system was assessed by the three groups of participants, the accreditation personnel, faculty members, and IT staff that yielded mostly “highly acceptable” and “acceptable responses on the features of the system. The proponent found that there was a significant difference between the evaluations of the three groups of participants by utilizing Analysis of Variance (ANOVA); thus the null hypothesis was rejected. These features and functionalities of the system were beneficial in accreditation and complied with the international standards of software product quality in the development of systems.

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Trinidad, Jackelyn. "Web-based accreditation with mobile data reporting and visualization." South Asian Journal of Engineering and Technology 12, no. 1 (March 31, 2022): 32–40. http://dx.doi.org/10.26524/sajet.2022.12.6.

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Accreditation is the formal recognition of an educational program that possesses a high level of quality based on the analysis of the merits of its educational operations in attaining its objectives and its role in the community that it serves. Institutions in Higher Education (HEIs) play a very significant role in making a country to be competitive globally through the skilled human capital resources it produces. The function is intimidating as the institution has to regularly check itself against the global standards in place and keep itself updated on the latest demands of the labor market. This is about investing in a considerable amount of resources to develop its faculty, research, and facilities. (Pacquaio et. Al; 2012)The study aimed to develop a Web-based Accreditation with Data Reporting and Visualization for Program Accreditation. The study was for the management and monitoring of the required documents in all areas of accreditation especially in the Computer Science Program by utilizing this system. This system would assist the users to monitor the progress of each area of accreditation effectively. It is controlled by the system administrator that can add and manage user accounts, programs, and content to the system. The people assigned can upload documents in PDF (Portable Document Format) or .pdf and exchange notes with each other.The system evaluation was based on the standard set by International Standardization Organization, the ISO 25010 which was used to evaluate software products. The variables that were needed to test the system were functional suitability, usability, security, compatibility, portability, and maintainability provided in the questionnaire which would establish the credibility of this research through the scientific approach used in statistical treatment which was later interpreted and analyzed to give findings.The system was assessed by the three groups of participants, the accreditation personnel, faculty members, and IT staff that yielded mostly “highly acceptable” and “acceptable responses on the features of the system. The proponent found that there was a significant difference between the evaluations of the three groups of participants by utilizing Analysis of Variance (ANOVA); thus the null hypothesis was rejected. These features and functionalities of the system were beneficial in accreditation and complied with the international standards of software product quality in the development of systems.

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Jo, Hyunjei, Chul Kim, and Yongju Cho. "Development of Mobile Dashboard System for Manufacturing Data Visualization." Journal of the Korean Society for Precision Engineering 31, no. 4 (April 1, 2014): 311–17. http://dx.doi.org/10.7736/kspe.2014.31.4.311.

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Bujari, Armir, Ombretta Gaggi, and Claudio E. Palazzi. "A mobile sensing and visualization platform for environmental data." Pervasive and Mobile Computing 66 (July 2020): 101204. http://dx.doi.org/10.1016/j.pmcj.2020.101204.

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Quispe, Roger, Jhon E. Monroy, Roni G. Apaza, and José A. Herrera. "Evaluation of Visualization Interfaces Data Reporting on Mobile Devices." International Journal of Computer Theory and Engineering 9, no. 4 (2017): 281–84. http://dx.doi.org/10.7763/ijcte.2017.v9.1152.

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Cobas, Carlos, Isaac Iglesias, and Felipe Seoane. "NMR data visualization, processing, and analysis on mobile devices." Magnetic Resonance in Chemistry 53, no. 8 (April 29, 2015): 558–64. http://dx.doi.org/10.1002/mrc.4234.

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Cobas, Carlos, Isaac Iglesias Fernández, and Felipe Seoane Otero. "NMR data visualization, processing, and analysis on mobile devices." Magnetic Resonance in Chemistry 53, no. 8 (July 22, 2015): 557. http://dx.doi.org/10.1002/mrc.4300.

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Vasilev, Julian, Pavel Petrov, and Jordan Jordanov. "A Practical Approach of Data Visualization from Geographic Information Systems by Using Mobile Technologies." International Journal of Interactive Mobile Technologies (iJIM) 18, no. 03 (February 9, 2024): 4–15. http://dx.doi.org/10.3991/ijim.v18i03.46655.

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The purpose of this paper is to demonstrate a practical approach to data visualization by using mobile technologies and desktop geographic information systems. To do that, we analyze public data for Black Sea water pollution on Varna’s beaches by using real data in real time. Geographic information systems (GISs) are used for visualization, and statistical software is used for correlation analysis. In our approach, the use of open-source software products is essential, namely QGIS and PSPP software. The methodology includes using one dataset, and after extract-transform-load procedures, additional analysis is conducted. Mobile technologies are used to demonstrate the results of the correlation analysis to a wide audience, and data visualization helps for better understanding. A similar visualization approach may be conducted for other subjects and fields of interest.

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Sanna, Andrea, and Claudio Fornaro. "IMoViS: A System for Mobile Visualization of Intrusion Detection Data." Information & Security: An International Journal 12 (2003): 235–49. http://dx.doi.org/10.11610/isij.1214.

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Khan, Muzammil, Ali Shah, and Israr Ahmad. "Framework for Interactive Data Mining Results Visualization on Mobile Devices." International Journal of Database Theory and Application 7, no. 4 (August 31, 2014): 23–36. http://dx.doi.org/10.14257/ijdta.2014.7.4.03.

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Marquard, Jenna L., Jordan Howard, and Raeann LeBlanc. "Using Novel Data Visualization Methods to Understand Mobile Health Usability." CIN: Computers, Informatics, Nursing 41, no. 1 (January 2023): 1–5. http://dx.doi.org/10.1097/cin.0000000000000970.

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Parthe, Rupesh M. "Comparative Analysis of Data Visualization Tools: Power BI and Tableau." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (October 1, 2023): 1–11. http://dx.doi.org/10.55041/ijsrem26272.

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This research paper aims to provide a comprehensive comparative analysis of Power BI and Tableau, two popular tools used for business analytics and data visualization. The study highlights key differences in pricing structure, user interface, integration options, visualization capabilities, data modeling and ETL capabilities, collaboration features, and mobile app functionality. By examining these factors, the research aims to guide organizations in making informed decisions when choosing between Power BI and Tableau based on their specific needs and requirements. Key Words: Data Visualization, Data Analytics, Power BI, Tableau.

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Oseńko, Michał, Jakub Smołka, Maria Skublewska-Paszkowska, and Edyta Łukasik. "A METHOD FOR VISUALIZATION OF 3D MOTION DATA USING A MOBILE DEVICE." Informatics Control Measurement in Economy and Environment Protection 7, no. 3 (September 30, 2017): 37–42. http://dx.doi.org/10.5604/01.3001.0010.5212.

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3D motion visualization is a topic closely connected with motion capture. Motion capture data come in many file formats, one of which is C3D. The following paper presents an innovative method of motion visualization in virtual reality using Google Cardboard. Motion data are read from C3D files. The paper presents introduction to the technology used, analysis of existing solutions, presentation of the proposed method, its implementation and results.

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Wilkinson, Daricia, Paritosh Bahirat, Moses Namara, Jing Lyu, Arwa Alsubhi, Jessica Qiu, Pamela Wisniewski, and Bart P. Knijnenburg. "Privacy at a Glance: The User-Centric Design of Glanceable Data Exposure Visualizations." Proceedings on Privacy Enhancing Technologies 2020, no. 2 (April 1, 2020): 416–35. http://dx.doi.org/10.2478/popets-2020-0034.

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AbstractSmartphone users are often unaware of mobile applications’ (“apps”) third-party data collection and sharing practices, which put them at higher risk of privacy breaches. One way to raise awareness of these practices is by providing unobtrusive but pervasive visualizations that can be presented in a glanceable manner. In this paper, we applied Wogalter et al.’s Communication-Human Information Processing model (C-HIP) to design and prototype eight different visualizations that depict smartphone apps’ data sharing activities. We varied the granularity and type (i.e., data-centric or app-centric) of information shown to users and used the screensaver/lock screen as a design probe. Through interview-based design probes with Android users (n=15), we investigated the aspects of the data exposure visualizations that influenced users’ comprehension and privacy awareness. Our results shed light on how users’ perceptions of privacy boundaries influence their preference regarding the information structure of these visualizations, and the tensions that exist in these visualizations between glanceability and granularity. We discuss how a pervasive, soft paternalistic approach to privacy-related visualization may raise awareness by enhancing the transparency of information flow, thereby, unobtrusively increasing users’ understanding of data sharing practices of mobile apps. We also discuss implications for privacy research and glanceable security.

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Singh, Ms Sarika, and Ms Lavina Jadhav. "Data Analysis and Visualization of Sales Dataset using Power BI." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 1749–59. http://dx.doi.org/10.22214/ijraset.2022.44132.

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Abstract: Power BI has completely revolutionized the worlds of business intelligence, data visualization, and analytics. Power BI is an online service that allows users to search for data, transform it, visualize it, and share the reports and dashboards they create with other users in the same or different departments/organizations, as well as the general public. Power BI is used by over 200,000 organizations in 205 countries as of February 2017. Power BI's Quick Insights feature is an innovative feature that is built on a growing set of advanced analytical algorithms. This function may be activated with a single click after uploading a data set to Power BI, and it generates a number of reports depending on the data's analysis without any need for human participation. This also aids in reducing human errors in calculations and statistical techniques, which can lead to research that isn't verifiable. Power BI is simple to use and ready for adoption as a platform for Research Data Analysis, accepting even Excel spreadsheets as input. The pandemic of the coronavirus has hastened the adoption of mobile-friendly analytics and business intelligence platforms. Companies all over the world now want their employees and customers to have access to data and analytics from any location. The mobile BI market will be worth more than $20 billion by 2024, according to Mordor Intelligence. Furthermore, mobile devices such as smartphones and tablets are expected to account for more than 72 percent of all internet traffic. As a result, implementing mobile-friendly BI platforms across your organization in 2022 makes even more sense from a business perspective. The purpose of this paper is to show how Power BI can quickly transform a piece of research data into a set of shareable analytical reports and dashboards.

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Warner, Jeremy L., Joshua C. Denny, David A. Kreda, and Gil Alterovitz. "Seeing the forest through the trees: uncovering phenomic complexity through interactive network visualization." Journal of the American Medical Informatics Association 22, no. 2 (October 21, 2014): 324–29. http://dx.doi.org/10.1136/amiajnl-2014-002965.

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Abstract Our aim was to uncover unrecognized phenomic relationships using force-based network visualization methods, based on observed electronic medical record data. A primary phenotype was defined from actual patient profiles in the Multiparameter Intelligent Monitoring in Intensive Care II database. Network visualizations depicting primary relationships were compared to those incorporating secondary adjacencies. Interactivity was enabled through a phenotype visualization software concept: the Phenomics Advisor. Subendocardial infarction with cardiac arrest was demonstrated as a sample phenotype; there were 332 primarily adjacent diagnoses, with 5423 relationships. Primary network visualization suggested a treatment-related complication phenotype and several rare diagnoses; re-clustering by secondary relationships revealed an emergent cluster of smokers with the metabolic syndrome. Network visualization reveals phenotypic patterns that may have remained occult in pairwise correlation analysis. Visualization of complex data, potentially offered as point-of-care tools on mobile devices, may allow clinicians and researchers to quickly generate hypotheses and gain deeper understanding of patient subpopulations.

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Yang, Pei, and Hai Yun Han. "Research and Application of Responsive Big Data Visualization Based on HTML5." Applied Mechanics and Materials 631-632 (September 2014): 1075–79. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.1075.

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Research the responsive visualization technology of big data based on HTML5. Big data has 4 special points: volume, velocity, variety and value. Our purpose is to mine the value of big data with the visualization technology. There are many platforms such as desktop and mobile platform, and each kind of device may have different resolution, based on HTML5, CSS3 and JavaScript technology, research the responsive visualization technology to fit all platforms, then we can mine meaningful data of the mass data, guide the development of related forecasting and strategy.

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Chen, Liang, Shichen Zhang, and Changhong Liu. "Research on the Multi-Screen Connection Interaction Method Based on Regular Octagon K-Value Template Matching." Symmetry 14, no. 8 (July 26, 2022): 1528. http://dx.doi.org/10.3390/sym14081528.

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Manufacturing companies using CPSS integrate multiple data in organizational production and present the data in the form of data visualization with the help of a big screen data visualization. In order to help the manufacturing enterprises using the data visualization screen to understand the data trend of the whole production process more conveniently, this paper proposes a method to establish the connection and interaction between the visualization screen and the mobile terminal based on the positive octagon K-value template matching algorithm, match the pre-processed mobile phone pictures with the visual large screen image, determine the area where the captured image is located in the large screen image, and return the detailed information of chart components contained in the visual large screen area to the mobile phone for users’ observation and analysis. This matching algorithm has good matching accuracy and time efficiency. Application cases and related investigations in enterprises also prove the practicability of this method to a certain extent.

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Syaripul, Nadiar Ahmad, and Adam Mukharil Bachtiar. "VISUALISASI DATA INTERAKTIF DATA TERBUKA PEMERINTAH PROVINSI DKI JAKARTA: TOPIK EKONOMI DAN KEUANGAN DAERAH." Jurnal Sistem Informasi 12, no. 2 (November 1, 2016): 82. http://dx.doi.org/10.21609/jsi.v12i2.481.

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Based on statistics from data.id, in the first quarter of 2016, there are 1,137 datasets distributed at 32 institutions and 18 groups in Indonesia. DKI Jakarta Province contributes to these data at the most, i.e. 714 datasets. A lot of accessible open datasets have an impact on the availability of valuable information that can be extracted to good use, for businesses, governments, and personal lives. To get the desired information, an exploratory data analysis is needed to make data more alive. The goal of this research is to provide a proper visualization of the given data. Data visualization is a way (perhaps a solution) to communicate abstract data, to aid in data understanding by leveraging human visual system. The result of this visualization is effective and engaging charts appropriates to the given data and can be run on mobile platforms.

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Yang, Sang Wook, Young Choi, and Hyun Chan Lee. "CAD data visualization on mobile devices using sequential constrained Delaunay triangulation." Computer-Aided Design 41, no. 5 (May 2009): 375–84. http://dx.doi.org/10.1016/j.cad.2008.08.005.

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Kanjo, Eiman, Steve Benford, Mark Paxton, Alan Chamberlain, Danae Stanton Fraser, Dawn Woodgate, David Crellin, and Adrain Woolard. "MobGeoSen: facilitating personal geosensor data collection and visualization using mobile phones." Personal and Ubiquitous Computing 12, no. 8 (August 8, 2007): 599–607. http://dx.doi.org/10.1007/s00779-007-0180-1.

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Wu, Xueying, and Liheng Xia. "Review and Analysis on Trajectory Big Data." E3S Web of Conferences 338 (2022): 01039. http://dx.doi.org/10.1051/e3sconf/202233801039.

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A trajectory can be seen as the imprint left in space by a moving object over time. In recent years, with the widespread use of civil GPS and other positioning devices on mobile terminals and the development and popularity of location-based services and mobile social networks, a large amount of trajectory data is increasingly accumulated in daily life and served by different types of applications. A large amount of trajectory data is generated in the fields of traffic, weather, ecology and mobile services. The effective understanding and utilization of these data requires not only automatic and efficient analysis methods, but also intuitive and vivid visualization, and this paper summarizes the application of trajectory data in cities.

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Song, Zhen, Jian Chen, and Jiu Yan Ye. "A Mobile Storage System for Massive Spatial Data." Advanced Materials Research 962-965 (June 2014): 2730–34. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.2730.

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This paper aims at the solution to problems of large amounts of data storage, low efficiency calculate and poor user experience which actually exists in GIS application on mobile devices. In order to solve these issues we use GIS technologies including spatial data organization, map browser, and spatial index. We focused on the research of how to effectively utilize system resources and rational and efficient out organize the spatial data. What’s more, we improved the R-tree indexing algorithm to establish a rapid spatial index structure and used hierarchical classification techniques to optimize the efficiency of the real-time visualization of spatial data for mobile devices.

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Isenberg, Petra, Niklas Elmqvist, Jean Scholtz, Daniel Cernea, Kwan-Liu Ma, and Hans Hagen. "Collaborative visualization: Definition, challenges, and research agenda." Information Visualization 10, no. 4 (July 29, 2011): 310–26. http://dx.doi.org/10.1177/1473871611412817.

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The conflux of two growing areas of technology – collaboration and visualization – into a new research direction, collaborative visualization, provides new research challenges. Technology now allows us to easily connect and collaborate with one another – in settings as diverse as over networked computers, across mobile devices, or using shared displays such as interactive walls and tabletop surfaces. Digital information is now regularly accessed by multiple people in order to share information, to view it together, to analyze it, or to form decisions. Visualizations are used to deal more effectively with large amounts of information while interactive visualizations allow users to explore the underlying data. While researchers face many challenges in collaboration and in visualization, the emergence of collaborative visualization poses additional challenges, but it is also an exciting opportunity to reach new audiences and applications for visualization tools and techniques. The purpose of this article is (1) to provide a definition, clear scope, and overview of the evolving field of collaborative visualization, (2) to help pinpoint the unique focus of collaborative visualization with its specific aspects, challenges, and requirements within the intersection of general computer-supported cooperative work and visualization research, and (3) to draw attention to important future research questions to be addressed by the community. We conclude by discussing a research agenda for future work on collaborative visualization and urge for a new generation of visualization tools that are designed with collaboration in mind from their very inception.

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Lapin, Kristina, and Sigitas Dapkūnas. "Duomenų apdorojimas ir vizualizavimas mobiliuosiuose įrenginiuose." Informacijos mokslai 65 (January 1, 2013): 75–84. http://dx.doi.org/10.15388/im.2013.0.2053.

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Straipsnyje nagrinėjami duomenų apdorojimo mobiliuosiuose įrenginiuose bei klasikiniai ir neseniai sukurti vizualizavimo metodai, tinkantys vaizduoti duomenis mažame ekrane. Analizuojami mobiliųjų įrenginių apdorojimo ir duomenų pateikimo ribojimai, į kuriuos atsižvelgiama kuriant programas visur esančių skaičiavimų aplinkose. Apžvalginio tyrimo rezultatus planuojama pritaikyti kuriant saityno paslaugos vizualizavimo modelį paslaugų architektūros stiliaus sistemoje.Data Processing and Visualization on Mobile Devices Kristina Lapin, Sigitas Dapkūnas SummaryThe paper surveys the data processing and visualization peculiarities in mobile devices. Developing the visualisation application to a mobile device a researcher has to consider their computational and size limitations. The mobile and traditional visualization methods for small screens are analysed. Researchers start to address the clutter problem showing the stream of data. The outcome of this research is planned to develop a model of visualisation of web service for a system based on the service-oriented architecture.="font-size: 11pt; line-height: 115%; font-family: Calibri, sans-serif;">

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Hwang, Keum-Sung, and Sung-Bae Cho. "A Lifelog Browser for Visualization and Search of Mobile Everyday-Life." Mobile Information Systems 10, no. 3 (2014): 243–58. http://dx.doi.org/10.1155/2014/740452.

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Mobile devices can now handle a great deal of information thanks to the convergence of diverse functionalities. Mobile environments have already shown great potential in terms of providing customized service to users because they can record meaningful and private information continually for long periods of time. The research for understanding, searching and summarizing the everyday-life of human has received increasing attention in recent years due to the digital convergence. In this paper, we propose a mobile life browser, which visualizes and searches human's mobile life based on the contents and context of lifelog data. The mobile life browser is for searching the personal information effectively collected on his/her mobile device and for supporting the concept-based searching method by using concept networks and Bayesian networks. In the experiments, we collected the real mobile log data from three users for a month and visualized the mobile lives of the users with the mobile life browser developed. Some tests on searching tasks confirmed that the result using the proposed concept-based searching method is promising.

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Sharma, Sharad, and Sri Teja Bodempudi. "Situational Awareness of COVID Pandemie data using Virtual Reality." Electronic Imaging 2021, no. 13 (January 18, 2021): 177–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.13.ervr-177.

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Situational awareness provides the decision making capability to identify, process, and comprehend big data. In our approach, situational awareness is achieved by integrating and analyzing multiple aspects of data using stacked bar graphs and geographic representations of the data. We provide a data visualization tool to represent COVID pandemic data on top of the geographical information. The combination of geospatial and temporal data provides the information needed to conduct situational analysis for the COVTD-19 pandemic. By providing interactivity, geographical maps can be viewed from different perspectives and offer insight into the dynamical aspects of the COVTD-19 pandemic for the fifty states in the USA. We have overlaid dynamic information on top of a geographical representation in an intuitive way for decision making. We describe how modeling and simulation of data increase situational awareness, especially when coupled with immersive virtual reality interaction. This paper presents an immersive virtual reality (VR environment and mobile environment for data visualization using Oculus Rift head-mounted display and smartphones. This work combines neural network predictions with human-centric situational awareness and data analytics to provide accurate, timely, and scientific strategies in combatting and mitigating the spread of the coronavirus pandemic. Testing and evaluation of the data visualization tool have been done with realtime feed of COVID pandemic data set for immersive environment, non-immersive environment, and mobile environment.

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Quinn, G. B., C. Bi, C. H. Christie, K. Pang, A. Prli , T. Nakane, C. Zardecki, et al. "RCSB PDB Mobile: iOS and Android mobile apps to provide data access and visualization to the RCSB Protein Data Bank." Bioinformatics 31, no. 1 (September 2, 2014): 126–27. http://dx.doi.org/10.1093/bioinformatics/btu596.

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Byers, Carl, and Andrew Woo. "3D data visualization: The advantages of volume graphics and big data to support geologic interpretation." Interpretation 3, no. 3 (August 1, 2015): SX29—SX39. http://dx.doi.org/10.1190/int-2014-0257.1.

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The ability to integrate diverse data types from multiple live and simulated sources, manipulate them dynamically, and deploy them in integrated, visual formats and in mobile settings provides significant advantages. We have reviewed some of the benefits of volume graphics and the use of big data in the context of 3D visualization case studies, in which inherent features, such as representation efficiencies, dynamic modifications, cross sectioning, and others, could improve interpretation processes and workflows.

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Burford, Sally Jane, Sora Park, and Paresh Dawda. "Small Data and Its Visualization for Diabetes Self-Management: Qualitative Study." JMIR Diabetes 4, no. 3 (August 13, 2019): e10324. http://dx.doi.org/10.2196/10324.

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Background As digital healthcare expands to include the use of mobile devices, there are opportunities to integrate these technologies into the self-management of chronic disease. Purpose built apps for diabetes self-management are plentiful and vary in functionality; they offer capability for individuals to record, manage, display, and interpret their own data. The optimal incorporation of mobile tablets into diabetes self-care is little explored in research, and guidelines for use are scant. Objective The purpose of this study was to examine an individual’s use of mobile devices and apps in the self-management of type 2 diabetes to establish the potential and value of this ubiquitous technology for chronic healthcare. Methods In a 9-month intervention, 28 patients at a large multidisciplinary healthcare center were gifted internet connected Apple iPads with preinstalled apps and given digital support to use them. They were invited to take up predefined activities, which included recording their own biometrics, monitoring their diet, and traditional online information seeking. Four online surveys captured the participants’ perceptions and health outcomes throughout the study. This article reports on the qualitative analysis of the open-ended responses in all four surveys. Results Using apps, participants self-curated small data sets that included their blood glucose level, blood pressure, weight, and dietary intake. The dynamic visualizations of the data in the form of charts and diagrams were created using apps and participants were able to interpret the impact of their choices and behaviors from the diagrammatic form of their small personal data sets. Findings are presented in four themes: (1) recording personal data; (2) modelling and visualizing the data; (3) interpreting the data; and (4) empowering and improving health. Conclusions The modelling capability of apps using small personal data sets, collected and curated by individuals, and the resultant graphical information that can be displayed on tablet screens proves a valuable asset for diabetes self-care. Informed by their own data, individuals are well-positioned to make changes in their daily lives that will improve their health.

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Stoikov, Jordan. "Demo: Shield UI JavaScript Chart - A Flexible HTML5 Data Visualization Component." Digital Presentation and Preservation of Cultural and Scientific Heritage 3 (September 30, 2013): 252–53. http://dx.doi.org/10.55630/dipp.2013.3.32.

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Shield UI’s advanced framework for creating rich charts and graphs is the first of a line of data visualization components, giving web developers the power for embedding rich graphics in their web projects with minimum effort. Built with HTML, CSS3 and packaged as a jQuery plugin, the library has full support for legacy and modern desktop web browsers, as well as the latest mobile devices.

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Liu, Tao. "Research on FUI Style Design of Big Data Information Visualization." E3S Web of Conferences 236 (2021): 05073. http://dx.doi.org/10.1051/e3sconf/202123605073.

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The purpose of the article is as follows, studying the FUI style of the interface for big data information visualization design among various styles of visualization interface in the 21st century. There are three research methods in this paper. Firstly, combing the concept of FUI and summarizing the design features of FUI style interface of big data information visualization from the perspective of design psychology. Secondly, the characteristics of government business big data information visualization and the needs of users are analyzed. Finally, the FUI design style is used in the government business big data information visualization display interface design. The FUI style presentation mode of big data information visualization and the dynamic interaction mode of FUI style interface are discussed. The conclusion is as follows, FUI is more in line with the people's psychological expectation of "future technology visual style" in big data information visualization display, highlighting the FUI data display focus on the prediction function of future events; FUI achieves visual balance through reasonable typesetting, comfortable color matching, uniform decorative shapes, etc. In terms of visual display, it not only meets the requirements of data display design, but also achieves the visual unity of partial data display design and overall data display. FUI mostly adopts flat design and simple dynamic interaction design, which conforms to users' gesture operation and people's visual browsing behavior habits in the era of mobile Internet, and meanwhile improves the utilization rate of single screen display of government departments.

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Wang, Chenliang, Kejia Huang, and Wenjiao Shi. "An Accurate and Efficient Quaternion-Based Visualization Approach to 2D/3D Vector Data for the Mobile Augmented Reality Map." ISPRS International Journal of Geo-Information 11, no. 7 (July 10, 2022): 383. http://dx.doi.org/10.3390/ijgi11070383.

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Increasingly complex vector map applications and growing multi-source spatial data pose a serious challenge to the accuracy and efficiency of vector map visualization. It is true especially for real-time and dynamic scene visualization in mobile augmented reality, with the dramatic development of spatial data sensing and the emergence of AR-GIS. Such issues can be decomposed into three issues: accurate pose representation, fast and precise topological relationships computation and high-performance acceleration methods. To solve these issues, a novel quaternion-based real-time vector map visualization approach is proposed in this paper. It focuses on precise position and orientation representation, accurate and efficient spatial relationships calculation and acceleration parallel rendering in mobile AR. First, a quaternion-based pose processing method for multi-source spatial data is developed. Then, the complex processing of spatial relationships is mapped into simple and efficient quaternion-based operations. With these mapping methods, spatial relationship operations with large computational volumes can be converted into efficient quaternion calculations, and then the results are returned to respond to the interaction. Finally, an asynchronous rendering acceleration mechanism is also presented in this paper. Experiments demonstrated that the method proposed in this paper can significantly improve vector visualization of the AR map. The new approach, when compared to conventional visualization methods, provides more stable and accurate rendering results, especially when the AR map has strenuous movements and high frequency variations. The smoothness of the user interaction experience is also significantly improved.

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Yin, Xiang-dong. "Dynamic data driven big data cooperative control scheme with virtual visualization for mobile multimedia communication." Cluster Computing 22, S1 (March 10, 2018): 1541–48. http://dx.doi.org/10.1007/s10586-018-2175-2.

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Zhao, Zihao. "The realization and application of the data analysis platform of netizen behavior based on Hive." Applied and Computational Engineering 13, no. 1 (October 23, 2023): 103–11. http://dx.doi.org/10.54254/2755-2721/13/20230715.

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With advances in mobile technology and mobile Internet applications, smart mobile devices, such as smartphones and tablets, have become increasingly popular, and the number of Internet users worldwide continues to grow. In the Internet era, the amount of data is growing exponentially and companies must be able to harness the value of the vast amount of data. Data platforms must integrate massive amounts of data collection, storage, computation and analysis to meet these opportunities and challenges. In this study, the log data of Internet users browsing websites are analyzed and the technologies used in the platform are briefly described. Finally, a draft platform for analyzing offline Internet user behavior data is proposed, taking into account the current common needs of different industries, while incorporating some innovations. Three modules are designed and implemented: data collection, data warehouse and data visualization. The user's data is mainly collected by the data collection module. The data warehouse is mainly responsible for cleaning, modeling and analyzing the data. As part of the data visualization module, the result data from the ADS layer is used as a template to create tables in MySQL, export the results to MySQL periodically using the Sqoop tool, and visualize the data using the data visualization tool. With Flume, Kafka and Sqoop, HDFS is used as the data storage framework, Hive is used as the storage tool, and Spark is used as the Hive computation engine to build the platform in a large context to analyze Internet user behavior.

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Segall, Richard S., and Gao Niu. "Big Data and Its Visualization With Fog Computing." International Journal of Fog Computing 1, no. 2 (July 2018): 51–82. http://dx.doi.org/10.4018/ijfc.2018070102.

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Big Data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. This article discusses what is Big Data, and its characteristics, and how this information revolution of Big Data is transforming our lives and the new technology and methodologies that have been developed to process data of these huge dimensionalities. Big Data can be discrete or a continuous stream of data, and can be accessed using many types and kinds of computing devices ranging from supercomputers, personal work stations, to mobile devices and tablets. Discussion is presented of how fog computing can be performed with cloud computing as a mechanism for visualization of Big Data. An example of visualization techniques for Big Data transmitted by devices connected by Internet of Things (IoT) is presented for real data from fatality analysis reporting system (FARS) managed by the National Highway Traffic Safety Administration (NHTSA) of the United States Department of Transportation (USDoT). Big Data web-based visualization software are discussed that are both JavaScript-based and user interface-based. Challenges and opportunities of using Big Data with fog computing are also discussed.

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Loola Bokonda, Patrick, Khadija Ouazzani-Touhami, and Nissrine Souissi. "A Practical Analysis of Mobile Data Collection Apps." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 13 (August 14, 2020): 19. http://dx.doi.org/10.3991/ijim.v14i13.13483.

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<p>Nowadays, data collection has become an activity inherent in the emergence of any organization. The digital age has enabled the development of mobile data collection apps that are becoming increasingly common around the world. But faced with the growing number of apps offered, Data Managers are often challenged by with the choice of the solution that best suits their case.</p><p>This study meets this need by providing clear, precise and verified information on each of the selected solutions. The study presents, analyzes and compares four mobile data collection solutions. To achieve an effective comparison, we first chose to collect and select papers on each of the solutions, and then to install and test each of them by executing a data collection process, all the way from the form creation to the visualization of collected data. The comparison presented in this paper was based on technical aspects but also on other important aspects to help users make a good decision.</p>

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Wang, Chao. "Design and Implementation of Police Mobile GIS Command System." Frontiers Research of Architecture and Engineering 1, no. 1 (January 31, 2018): 12. http://dx.doi.org/10.30564/frae.v1i1.4.

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The current situation and demand of police management based on geographic information, networking, cloud computing, webService, arcgisServer and Wencheng public security, put forward the general idea to build a set of mobile police office system, and discusses the SOA architecture, data integration, data mining, data storage and visualization of mobile Internet the key content of the final completion of a complete set of police mobile command system GIS.

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Kazimierski, Witold, and Marta Włodarczyk-Sielicka. "Technology of Spatial Data Geometrical Simplification in Maritime Mobile Information System for Coastal Waters." Polish Maritime Research 23, no. 3 (September 1, 2016): 3–12. http://dx.doi.org/10.1515/pomr-2016-0026.

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Abstract The paper undertakes the subject of spatial data pre-processing for marine mobile information systems. Short review of maritime information systems is given and the focus is laid on mobile systems. The need of spatial data generalization is underlined and the concept of technology for such generalization in mobile system is presented. The research part of the paper presents the results of analyzes on selected parameters of simplification in the process of creating mobile navigation system for inland waters. In the study authors focused on selected layers of system. Models of simplification for layers with line features and with polygons were tested. The parameters of tested models were modified for the purposes of study. The article contains tabular results with statistics and spatial visualization of selected layers for individual scales.

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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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Xu, Lei. "What does Data Visualization Reveal about Children’s Activities in RoboTutor?" BCP Education & Psychology 7 (November 7, 2022): 366–71. http://dx.doi.org/10.54691/bcpep.v7i.2689.

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We are in the era of promising mobile education. However, data analysis based on children's activities is still limited. This article used rural Tanzanian children’s activity log data in site 131 from November 2018 to January 2019 provided by the RoboTutor team and applied the method of Descriptive Data Analysis to roughly analyze children’s activity through data visualization. First, children may be more interested in story and literacy than math activities; second, children generally spend more time on tasks they cannot fully complete; finally, all children spend more than 60% of their time completing activities, usually in the morning or afternoon. Using this result can provide a more intuitive understanding of children’s activity patterns, which can be helpful for researchers to measure children's activity engagement.

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Journal articles on the topic 'Mobile data visualization'

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