Academic Journal
Fitness Center Capacity Monitoring
| Τίτλος: | Fitness Center Capacity Monitoring |
|---|---|
| Συγγραφείς: | Mancuso, Richard |
| Συνεισφορές: | University of Scranton. Department of Computing Sciences |
| Στοιχεία εκδότη: | University of Scranton |
| Έτος έκδοσης: | 2013 |
| Συλλογή: | The University of Scranton Digital Collections |
| Θεματικοί όροι: | University of Scranton -- Dissertations, Academic theses, Algorithms -- Data processing |
| Time: | 2010-2019 |
| Περιγραφή: | This project aims to solve a problem of students not being able to tell how full the fitness center is without physically going to the facility. Sensor data will be used to determine if a person passes through the doorway and in which direction they are moving to keep a count of the number of people in the fitness center at a given moment in time. Prediction algorithms may be run on that data to determine the number of people expected to be in the fitness center a chosen time in the future. |
| Τύπος εγγράφου: | text |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| Relation: | Master of Science in Software Engineering; University of Scranton Archives; University of Scranton Masters and Honors Theses; University of Scranton Masters Theses; TM_Mancuso_R_2013; http://digitalservices.scranton.edu/u?/p15111coll1,925 |
| Διαθεσιμότητα: | http://digitalservices.scranton.edu/u?/p15111coll1,925 |
| Rights: | http://rightsstatements.org/vocab/InC/1.0/ ; The author of this work retains the copyright. The author has granted to The University of Scranton a non-exclusive license to preserve and make the thesis available in the Library's digital collections, with access restricted to on-campus users. The author's signed Electronic Thesis Approval Form is on file in the Weinberg Memorial Library Digital Services Department. |
| Αριθμός Καταχώρησης: | edsbas.8E897F1A |
| Βάση Δεδομένων: | BASE |
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