Tourism advertising and marketing performance metrics

Rare event detections are performed using spatial domain and frequency domain-based procedures. Omnipresent surveillance camera footages are increasing exponentially due course the time. Monitoring all the events manually is an insignificant and more time-consuming process. Therefore, an automated rare event detection contrivance is required to make this process manageable. In this work, a Context-Free Grammar (CFG) is developed for detecting rare events from a video stream and Artificial Neural Network (ANN) is used to train CFG. A set of dedicated algorithms are used to perform frame split process, edge detection, background subtraction and convert the processed data into CFG. The developed CFG is converted into nodes and edges to form a graph. The graph is given to the input layer of an ANN to classify normal and rare event classes. Graph derived from CFG using input video stream is used to train ANN Further the performance of developed Artificial Neural Network Based Context-Free Grammar – Rare Event Detection (ACFG-RED) is compared with other existing techniques and performance metrics such as accuracy, precision, sensitivity, recall, average processing time and average processing power are used for performance estimation and analyzed. Better performance metrics values have been observed for the ANN-CFG model compared with other techniques. The developed model will provide a better solution in detecting rare events using video streams.

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Which Professional Sport Team Has the Best Marketing Performance in Driving Attendance? The Stochastic Frontier Approach

International Journal of Sport Finance ◽

10.32731/ijsf/152.052020.01 ◽

2020 ◽

Vol 15 (2) ◽

pp. 55-68

Author(s):

Hyunwong Pyun ◽

◽

Jeeyoon Kim ◽

Daehwan Kim ◽

◽

...

Keyword(s):

Stochastic Frontier ◽

Professional Sport ◽

Stochastic Frontier Approach ◽

Sport Team ◽

Marketing Performance ◽

Professional Sport Team

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152. Industrial Hygiene Program Performance Metrics (Indicators)

10.3320/1.2765272 ◽

1999 ◽

Cited By ~ 1

Author(s):

P.A. Esposito

Keyword(s):

Performance Metrics ◽

Industrial Hygiene ◽

Program Performance

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Education and the Relation to the Outside: A Little Real Reality

Deleuze Studies ◽

10.3366/dls.2015.0188 ◽

2015 ◽

Vol 9 (3) ◽

pp. 273-300 ◽

Cited By ~ 5

Author(s):

David Savat ◽

Greg Thompson

Keyword(s):

Performance Metrics ◽

Online Courses ◽

Massive Open Online Courses ◽

Educational Institutions ◽

Special Issue ◽

Massive Open Online ◽

Transformative Teaching ◽

Control Society ◽

Brave New World ◽

Radical Transformation

One of the more dominant themes around the use of Deleuze and Guattari's work, including in this special issue, is a focus on the radical transformation that educational institutions are undergoing, and which applies to administrator, student and educator alike. This is a transformation that finds its expression through teaching analytics, transformative teaching, massive open online courses (MOOCs) and updateable performance metrics alike. These techniques and practices, as an expression of control society, constitute the new sorts of machines that frame and inhabit our educational institutions. As Deleuze and Guattari's work posits, on some level these are precisely the machines that many people in their day-to-day work as educators, students and administrators assemble and maintain, that is, desire. The meta-model of schizoanalysis is ideally placed to analyse this profound shift that is occurring in society, felt closely in the so-called knowledge sector where a brave new world of continuous education and motivation is instituting itself.

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