IoT Application Development Based on Java and Raspberry Pi
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
Raspberry Pi, as a powerful single board computer, has become a very popular choice for prototyping IoT applications in lab environment, industrial projects, and education. Although Raspberry Pi supports many programming languages, Java, a main programing language, has not been used broadly. Current literature does not have sufficient details on how to build applications for Internet of Things (IoT) using Java, JavaFX, and Raspberry Pi as well. This paper introduces the results of studies carried out by the authors for finding out such details. The studies include an application with a JavaFX-based graphical user interface that controls an LED, a Java application that works with a temperature and humility sensor, and a Java application that interacts with Amazon's AWS IoT service. These applications all run on a Raspberry Pi. The main contribution of the paper is that it provides a systematic introduction to the details of the technologies of using Java, JavaFX and Raspberry Pi for developing IoT applications, including an example for the AWS IoT cloud service which has not been reported previously in the literature. The results of the paper are beneficial to developers with Java programming background who plan to develop IoT applications.
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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 | 0.001 |
| 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