Phone of Things (PoT) : Empowering IoT Systems Through the Ubiquitous Telephone Network Infrastructure and Voice Commands
Bibliographic record
Abstract
This paper introduces the concept of Phone of Things (PoT), a novel approach to extend the connectivity options for IoT systems through the pervasive telephone network infrastructure. This is a paradigm shift that integrates traditional telephones to monitor and control IoT-enabled devices via VoIP protocols and public switched telephone network (PSTN). This integration democratizes IoT through the promotion of a Do-It-Yourself (DIY) IoT system that takes advantage of the freedom the comes with open-source technologies and leverages the emerging cloud-hosted services to build customized IoT solutions while accentuating affordability, accessibility, performance, ease of use, and security. Nevertheless, the proposed system inhibits a modular design philosophy that allows the system to be tailored and scaled according to the application needs with minimum hardware and software modification requirements. The proposed paradigm provides an arbitrarily shared data space between IoT systems which would coalesce into a social network of things (SNT) and support assistive services in public sensing.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".