Ultracapacitor management system for IoT-based streetlight application
Bibliographic record
Abstract
This paper proposes the highly efficient ultracapacitor management system (UCMS) for IoT-enabled, solar-powered streetlights. Existing battery-based storage solutions for streetlighting suffer from limited cycle life, slow recharge rates, and high maintenance overhead, motivating the need for a more durable and responsive approach. The proposed UCMS optimizes ultracapacitor (UC) charging and discharging cycles, improving streetlight efficiency and lifespan. The internet-of-things (IoT) integration allows for real-time monitoring and control. The system performance is evaluated through simulation, certification testing, and real-world deployment. Key features of hardware and software design include the ability to charge UCs at a minimum current of 0.5 A and a fault-tolerant design for enhanced reliability. The UCMS demonstrated monitoring accuracy of ≤0.2 V for voltage and ≤ 0.1 A for current, with successful wireless control and data acquisition. Design considerations and insights for broader UC-based energy storage applications are also discussed in this paper.
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".