Λεπτομέρειες βιβλιογραφικής εγγραφής
| 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 |