scholarly journals Supporting Visualization Analysis in Industrial Process Tomography by Using Augmented Reality—A Case Study of an Industrial Microwave Drying System

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6515
Author(s):  
Yuchong Zhang ◽  
Adel Omrani ◽  
Rahul Yadav ◽  
Morten Fjeld

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.

10.28945/2207 ◽  
2015 ◽  
Vol 10 ◽  
pp. 021-035 ◽  
Author(s):  
Yan Lu ◽  
Joseph T. Chao ◽  
Kevin R. Parker

This project shows a creative approach to the familiar scavenger hunt game. It involved the implementation of an iPhone application, HUNT, with Augmented Reality (AR) capability for the users to play the game as well as an administrative website that game organizers can use to create and make available games for users to play. Using the HUNT mobile app, users will first make a selection from a list of games, and they will then be shown a list of objects that they must seek. Once the user finds a correct object and scans it with the built-in camera on the smartphone, the application will attempt to verify if it is the correct object and then display associated multi-media AR content that may include images and videos overlaid on top of real world views. HUNT not only provides entertaining activities within an environment that players can explore, but the AR contents can serve as an educational tool. The project is designed to increase user involvement by using a familiar and enjoyable game as a basis and adding an educational dimension by incorporating AR technology and engaging and interactive multimedia to provide users with facts about the objects that they have located


2020 ◽  
Author(s):  
Sooyoung Yoo ◽  
Kahyun Lim ◽  
Se Young Jung ◽  
Keehyuck Lee ◽  
Donghyun Lee ◽  
...  

BACKGROUND The US Health Information Technology for Economic and Clinical Health Act of 2009, which was intended to stimulate the use of electronic health record (EHR) systems, has been amended to cover the behavioral health sector. Consequently, there is an increased need for research on the adoption of behavioral EHR systems by healthcare professionals. Various quantitative studies based on the unified theory of acceptance and use of technology model and technology acceptance model have been conducted in the general medical sectors, but few studies have been conducted in the behavioral sector and they have all been interview-based qualitative studies. OBJECTIVE To evaluate the adoption and implementation of a behavioral EHR system for behavioral clinical professionals through a modified clinical adoption (CA) research model quantitative study. METHODS We modified the existing CA framework to be suitable for evaluating the adoption of the EHR system by behavioral clinical professionals. The existing CA framework did not present questionnaire items. Accordingly, we designed a questionnaire with items that fit into the dimensions of the CA framework and it was verified through the review of behavioral clinical professionals and a pre-survey. The full-scale survey was administered in 5 US behavioral hospitals. The data were analyzed using a structural equation analysis. Additionally, open-ended question responses were qualitatively analyzed. RESULTS We derived a total of 7 dimensions, excluding dimensions that were evaluated as inappropriate for behavioral clinical professionals to respond. In addition, for 2 dimensions, 2 sub-dimensions were classified. A total of 409 behavioral clinical experts from 5 hospitals were surveyed. The ease of use and organizational support significantly influenced the use of the behavioral EHR system. Although the results were not significant, information quality (path coefficient=1.19, P>.05) and service quality (path coefficient=.085, P>.05) tended to influence the ease of use of the system. And Ease of Use (path coefficient=.253, P<.05) and the Organization (path coefficient=.802, P<.05) influenced the use of the system. The qualitative results indicated that the greatest advantage of the adoption of the behavioral EHR system was the ability to search for information quickly, work efficiently, and access patient information even outside of the hospital through the mobile app, resulting in having more time with patients. Conversely, the greatest disadvantage was an overdependence on the EHR system. Many staff members voiced concerns that their work could be paralyzed when the system was unstable. CONCLUSIONS This study designed a model for evaluating behavioral EHR adoption and conducted a quantitative study to derive the factors associated with the successful introduction of an EHR system in a behavioral environment. CLINICALTRIAL The study was approved by the Institutional Review Board of Seoul National University Bundang Hospital (SNUBH) (IRB No.: B-1904-534-301).


Author(s):  
Johny Pretell Cruzado ◽  
Tatiana Llajaruna Cespedes ◽  
Gian Pierre Bohorquez Coria ◽  
Jose Luis Herrera Salazar
Keyword(s):  

Author(s):  
Nina Ferreri ◽  
Christopher B. Mayhorn

As digital technology develops, users create expectations for performance that may be violated when malfunctions occur. This project examined how priming expectations of technology performance (high v. low v. no) and experiences of technology malfunction (present v. not present) can influence feelings of frustration and performance on a task. A preliminary sample of 42 undergraduate participants completed a QR code scavenger hunt using the augmented reality mobile app, ARIS. Following the task, participants reported what they found for each scavenger hunt clue, their responses to failures in digital technology, and technology acceptance attitudes. Several factorial ANOVAs revealed a main effect for expectation on adaptive items of the RFDT scale and a main effect for malfunction on performance level. This suggests a potential contradiction between attitudes and behaviors when considering a common scenario involving technology.


2021 ◽  
Vol 9 (1A) ◽  
Author(s):  
Diego Vergaças de Sousa Carvalho ◽  
Carlos Henrique de Mesquita ◽  
Gustavo Martinez Gregianin


2019 ◽  
Vol 16 (3) ◽  
pp. 419-437
Author(s):  
Zorica Dodevska ◽  
Vladimir Kvrgic ◽  
Marko Mihic ◽  
Boris Delibasic

The use of robotic models with the main functionalities of real objects together with the implementation of innovative technologies, augmented reality (AR) in this case, is the focus of the paper. Therefore, the concept of a simplified robotic model (SRM) is presented. This concept is important because it is useful for achieving the goals of engineering projects, which is especially justified prior to the construction of the real objects. It improves presentation, development, and education capabilities that are unavoidable segments of the project strategy. Additionally, it is possible to transfer developed solutions to the final objects after certain modifications. Multidisciplinary building of the unique SRM of the 3-axis centrifuge for pilot training is described, where multi-attribute decisionmaking is used to conduct some experiments. The application includes the use of a physical model, built from LEGO elements, software for controlling and monitoring the physical model, and an AR mobile app.


2014 ◽  
Vol 1016 ◽  
pp. 273-278
Author(s):  
Mohd Faizal Mat Desa ◽  
Muhammad Naufal Mansor ◽  
Ahmad Kadri Junoh ◽  
Amran Ahmed ◽  
Wan Suhana Wan Daud ◽  
...  

Multiphase flow characterization is an important task for monitoring, measuring or controlling industrial processes. This can be done by means of process tomography. The use of tomographic techniques has been used within the oil industry. One of the potential applications is flow visualization and measurement in producing wells. Research on industrial process tomography consists in obtaining estimated images of a cross section of a pipe or vessel containing or carrying the substances of the process. One category of process tomography is ultrasonic tomography technique. A simple tomography can be built by mounting a number of sensors around the circumference of a horizontal pipe. This includes acquiring and processing ultrasonic signals from the transducers to obtain the information of the spatial distributions of liquid and gas in an experimental column. Analysis on the transducers’ signals will be carrying out to distinguish between the observation time and the Lamb waves. The information obtained from the observation time is useful for further development of the image reconstruction. To obtain the time easily, the time will be calculated from the starting pulse of transmitter signal until the starting peak of receiver signal. Finally Support Vector Machine (SVM) was employed to distinguish of each phase between water and gas.


2021 ◽  
Author(s):  
Eunyoung (Christine) Sung ◽  
Dai‐In Danny Han ◽  
Yung Kyun Choi
Keyword(s):  

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