Battery and ultra-capacitor hybrid energy storage system and power management scheme for solar-powered Wireless Sensor Nodes
Bibliographic record
Abstract
This paper presents a Wireless Sensor Node (WSN) architecture with solar power generation and a hybrid energy storage scheme. The WSN is composed of three key modules: Energy Harvesting, Energy Storage, and the Control/Processing unit. The harvesting module consists of a miniature 179 mW solar array and MPPT hardware. A rechargeable 350 mAh Lithium-Ion battery and an ultra-capacitor are used as the energy storage elements. The low-ESR ultra-capacitor efficiently supplies the load power, which can reach as high as 295 mW peak, while the battery provides high-density storage. These elements are interfaced through a digitally controlled bi-directional dc-dc converter, which efficiently regulates the power-flow in the WSN. Multiple sensors and circuitry are implemented to measure positional and environmental data, as well as receiving and transmitting data via RF communication. A long-term test of the WSN is conducted to demonstrate the effective system functionality.
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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".