Flexible topologies in multihop networks
Bibliographic record
Abstract
In today's environment, as the need for more bandwidth-intensive networking applications such as data browsing, video conferencing, etc. increase, so also does the need for high bandwidth-transport network facilities. Optical WDM networks show great promise in handling such high data volume problems, and it is expected that they will form the backbone of the next generation of high volume networks. Multihop networks show the most promise in that they offer the greatest flexibility of design. In this thesis we have attempted to evaluate and modify some existing optical topologies. These topologies are designed to facilitate the modification of existing network structures without significantly disturbing the overall network. They are compared to an existing topology, GEMNET, and their performance measured according to several criteria. Source: Masters Abstracts International, Volume: 40-03, page: 0727. Adviser: Arunita Jaekel. Thesis (M.Sc.)--University of Windsor (Canada), 2000.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".