SIDAM :servidor de información IEEE 802.21 dinámico con arquitectura de malla para redes heterogéneas
Bibliographic record
Abstract
Este proyecto esta enmarcado en el contexto de las redes moviles y trata sobre el funcionamiento y servicios para la transicion independiente del medio. Esta basado sobre la parte 21 del estandar 802 (802.21) perteneciente al IEEE. En el estandar 802.21 tenemos especificada una serie de herramientas para la transicion de conexion entre distintas tecnologias inalambricas. Entre esas herramientas, se encuentran los servicios de informacion. Nuestro trabajo se basa en definir una arquitectura con la que mejorar el acceso, robustez, eficacia y eficiencia de los servicios de informacion. La arquitectura en cuestion tiene una forma de malla, con un servidor de informacion en cada nodo de la malla. Cada servidor se encarga de almacenar, gestionar, y actualizar la informacion de su zona, la cual esta completamente solapada con parte de las zonas de los servidores adyacentes. Por tanto, acabamos con el modelo jerarquico existente y asi optimizamos el trafico de la informacion. A parte, para mejorar la eficiencia del sistema, almacenamos informacion dinamica. Esta informacion dinamica es proporcionada tanto por el punto de acceso (estado actual del punto de acceso) como por parte de los nodos moviles (calidad de la senal en un punto). [ABSTRAC] This Project is in line with the mobile networks and deals with the performance and services to achieve the media independent handover. It is based on part 21 of the 802 IEEE standard (802.21). The 802.21 standard specifies a set of tools to execute the handover between heterogeneous wireless networks. Between these tools it can be found the information services. The base of our work is to define an architecture to improve the access, sturdiness, effectiveness and effciency of the information services. The chosen architecture is a mesh, with an information server in each node of the mesh. Each server see to store, manage and update the information about his area, which is completely overlapped with a portion of the adjacent servers areas. Therefore, it finishes with the existing hierarchical model and optimize the information traffic. Also, to improve the efficiency of the system, we store dynamic information. This dynamic information is provided from the point of attachment (current state of the point of attachment) and the mobile nodes (signal strength in its location).
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.015 |
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 source (direct Gemma or distilled Codex), 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".