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Mobile Crowd Instrumentation: Design of Surface Solar Irradiance Instrument

Singh, Abhishek
http://rave.ohiolink.edu/etdc/view?acc_num=kent1491777121026468

Abstract Details

2017, MS, Kent State University, College of Arts and Sciences / Department of Computer Science.
This thesis explores mobile crowd instrumentation a distinct system of data acquisition and mining with the support of crowd and instrument (Smartphone). As around from many decades, traditional ways of gathering data were either using physical hardware input or from human interaction. With compounding both the techniques, emerges an approach called crowdsourcing, where humans and machine work collectively produce large sums of the analytical data. As recent surge in popularity of smartphones equipped with inertial sensors (Such as gyroscope, infrared, ambient light sensors etc.), which help to collect data without using any external hardware input. Thus, it gives more scope and extensibility of data gathering from an available crowd(humans) not just from aimed or some specialized crowd. We have developed a system with mobile crowd instrumentation to map Surface Solar Irradiance i.e. amount of solar energy radiates on one per square meter of area. The system works collectively using target smartphone sensors data such as camera, gyroscope, accelerometer, GPS, GPRS and mobile clock for computational analysis using mobile processing engine and estimate Surface Solar Irradiance. The crowd addresses this data using crowd mobile application to a cloud server. The proposed mobile crowd instrumentation system architecture, which incorporates using different cloud server, web services and API’s helps to interpret data gathered from a mobile crowd and point to results in mapping Surface Solar Irradiance for one specific region to worldwide region. Conjointly, crowd input and cloud computing can follow into many complex crowd instruments which can be mapped into different Data source for e.g. mapping worldwide electromagnetic field or map any type of Data collection such as Audio files (e.g. specific sounds or vocals), video files (e.g. videos of specific events), still Images (e.g. Images of event or kind) or Human inputs from a specific region to worldwide. As this instrumentation brings more extensibility for data gathering and analysis to researchers without providing any external source. Also, if the complexity of Data acquisition transform, which can also bring more constraints and challenges. As entire architecture relies on smartphone sensors which can be limited and a crowd, where crowd interaction may produce Human errors. Albeit with scope and extensibility of this system can leads to design some Remarkably Complex mobile crowd Instruments.
Javed Khan, Dr. (Advisor)
Austin Melton, Dr. (Committee Member)
Xiang Lian, Dr. (Committee Member)
100 p.
Computer Science
Surface Solar Irradiance, Crowdsourcing, Mobile sensors, Mobile computing, Cloud computing, Mobile instrumentation

Recommended Citations

Citations

  • Singh, A. (2017). Mobile Crowd Instrumentation: Design of Surface Solar Irradiance Instrument [Master's thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1491777121026468

    APA Style (7th edition)

  • Singh, Abhishek. Mobile Crowd Instrumentation: Design of Surface Solar Irradiance Instrument. 2017. Kent State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1491777121026468.

    MLA Style (8th edition)

  • Singh, Abhishek. "Mobile Crowd Instrumentation: Design of Surface Solar Irradiance Instrument." Master's thesis, Kent State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1491777121026468

    Chicago Manual of Style (17th edition)

kent1491777121026468
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© 2017, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.