RFIDMania extensible and adaptable RFID middleware and specifications
Bibliographic record
Abstract
Radio Frequency Identification technology is an emerging technology that allows objects to be electronically tagged and identified wirelessly. In recent years, many organizations have started to show interest in porting this technology to their existing business processes. With the increase in popularity of the technology, many vendor-specific RFID readers are being manufactured and sold to interested organizations. Deployment of such RFID readers to existing business processes is difficult as software developers need to understand each vendor-specific RFID reader, due to lack of standardization among RFID readers. This paper describes a scalable and adaptable middleware, called RFIDMania, designed to allow software developers to interact with any RFID reader without having to know the specifics of the reader. RFIDMania provides a framework to process data received from RFID tags, and translate, decode, filter and route the data to the application in the form of an event. RFIDMania is able to offer software developers a framework to deliver portable generic code that is not tightly coupled with hardware specific commands.
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".