Electro-Mechanical Smart Switch system using IoT
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
The development of electric vehicles (EVs) has been a major focus of the automotive industry for many years.As technology continues to progress, more and more use cases are popping up that require intelligent control over how an EV interacts with its environment.[1] This research paper investigates how Arduino shows potential as a technology platform to enable smart Switching of electric vehicles.It investigates the current solutions and their limitation and discusses how integration of microcontroller's intelligence with sensing, communication and actuation capabilities can enable more efficient and secure car ignition.The combination of Electrical and mechanical technologies allows for increased levels of convenience and security.Furthermore, this research will propose an optimal approach for using an IoT powered system on cars to enhance the security of their locks and provide enhanced protection from unauthorized access.Finally, future research directions are suggested which could lead to a more integrated approach when implementing such systems.
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 | 0.001 | 0.002 |
| 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 it