Curriculum Development Of An Advanced Communications Course By Sharing Properly Wireless And Wireline Systems In Electronics Engineering Technology Program
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
Wireless communications appears to be a technology that will shape our society in the 21st century.All indications are that this growth will continue at a rapid pace as wireless communications will convert the already shrinking world into a global village.The primary components and industry players that encompass the various wireless infrastructures including cellular, PCS (Personal Communications Services), paging, LMDS (Local Multipoint Distribution Services), wireless LANs and satellite services are expected to grow at double digit rates.Fiber optics is one of the hottest fields in wireline communication systems as it has wide applications in telecommunications as well as in networking (LANs and WANs).Fiber optics therefore is favored in this paper over conventional transmission systems such as open-wire line, coaxial cable and waveguide.The phenomenal growth in these new technologies, especially in wireless, has put new demands on the job duties of engineers and technologists.Industries are increasingly seeking graduates with appropriate background and training in these technologies.Wireless systems are only wireless in one sense; relying completely on wires for their function.It is my believe that the two will continue to compete for market share in the future.This paper describes a proposed advanced communications course in the form of lecture and laboratory studies.This course is designed for the study of both wireless and wireline communications systems in correct proportion as identified by the industry.Such studies provide specific skills that will be immediately usable in the industry.Knowledge of these crucial fields will broaden the undergraduate experience of technology and enhance their employment opportunities very greatly.
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 | 0.000 | 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 | 0.000 | 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