Radio Frequency Identification Based Student Attendance System
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Attendance is a record tracking system used in organization. It is used in the educational sector to track students who attend classes as well as staffs attendance. This system is a form of inventory keeping system in school but instead of tracking goods, people are tracked. In Babcock the attendance system being used presently is conventional and very susceptible to attacks. Due to these, a system is created to curb these challenges. In this work an attendance system was created which receives data input from student and staff at any given instance through the help of the RFID tag embedded in the identity card and stores it in a database which the institution can use for tracking attendance. The attendance system created is a mobile application called BrasApp developed using the Java programing language. This application also has a module that tracks attendance of students at hall worship, chapel seminar and church service which forms their citizenship grade. A virtual ticket generation module is included in the BrasApp which helps the cafeteria staff reduce waste of resources and queue during meal time. In conclusion this system has helped to improve students and staff attendance to all school activities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it