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University of Cincinnati

1. Krishnan, Niranjan Rao. A Web-Based Software Platform for Data Processing Workflows and its Applications in Aerial Data Analysis.

Degree: MS, Engineering and Applied Science: Computer Science, 2019, University of Cincinnati

Given the rapid advances in development of unmanned aerial vehicles (UAV), employment of drones in various business functions becomes reasonable and affordable. Usage of drones as data collection tools will give us access to a new set of geo-referenced images and videos that were not easily accessible in the past. The ultimate objective of this web based platform for data processing workflows, from here on referred to as the common operating platform, is to enable users to archive, process and visualize aerial data without a need for advanced hardware and software locally. This work details the development of the the common operating platform which consist of a web-based frontend and a backend. The frontend is a web app developed based on Django, Twitter Bootstrap and Javascript where the user authenticates, uploads data, submit processing tasks and visualizes the results. The back end, developed using Python 3, is where data is being stored and various processing tasks are being done based on commercial(Pix4D), open source(OpenDroneMap) and custom(Traffic Monitoring) processing engines. First, the intricacies of the data processing workflow is discussed and this includes diving into detail the various steps related to processing workflows using proprietary, open software and custom software. Second, procedures for integrating commercial processing engines as well as development of the in house traffic parameter extraction system will be shown and the result of running various case studies and their processing performance will be discussed. And finally, the system architecture design and implementation will be detailed given the scalability, modularity,extensibility and reliablity requirements will be discussed. The idea is to have a secure system, which is accessible to a broad audience, that can receive and service all of their processing requirements. In doing so, it dismisses the need for an uninitiated audience to install highly specialized software on their personal computers as well as relieves the need for them to maintain sophisticated hardware. Advisors/Committee Members: Helmicki, Arthur (Committee Chair).

Subjects/Keywords: Computer Science; Web based platform; software engineering; computer vision; Data Processing; Aerial Data Analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Krishnan, N. R. (2019). A Web-Based Software Platform for Data Processing Workflows and its Applications in Aerial Data Analysis. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562842713394706

Chicago Manual of Style (16th Edition):

Krishnan, Niranjan Rao. “A Web-Based Software Platform for Data Processing Workflows and its Applications in Aerial Data Analysis.” 2019. Masters Thesis, University of Cincinnati. Accessed November 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562842713394706.

MLA Handbook (7th Edition):

Krishnan, Niranjan Rao. “A Web-Based Software Platform for Data Processing Workflows and its Applications in Aerial Data Analysis.” 2019. Web. 17 Nov 2019.

Vancouver:

Krishnan NR. A Web-Based Software Platform for Data Processing Workflows and its Applications in Aerial Data Analysis. [Internet] [Masters thesis]. University of Cincinnati; 2019. [cited 2019 Nov 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562842713394706.

Council of Science Editors:

Krishnan NR. A Web-Based Software Platform for Data Processing Workflows and its Applications in Aerial Data Analysis. [Masters Thesis]. University of Cincinnati; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562842713394706

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