Notice bibliographique
Résumé
Recent advances in wireless and microwave communication systems (higher operation frequency bands, more compact topologies containing MMICs and MEMS, wideband automotive, space and biomedical modules) have increased the necessity of fast and accurate numerical simulation techniques. Unlike hybrid microwave integrated circuits at low frequencies, it is extremely difficult and essentially impossible to adjust the circuit and radiation characteristics of communication modules once they are fabricated. For this reason, many practical geometries, especially in microwave and millimeter-wave integrated circuits (MMIC), packaging, interconnects, sub-nanosecond digital electronic circuits [such as multi-chip modules (MCM)], and antennas used in wireless and microwave communication systems, have been left relatively untreated due to their complexity and the inability of the existing techniques to deal with requirements for large size and high resolution. The starting point for the development of efficient numerical algorithms is an accurate characterization of the passive and active structures involved in the topologies. Although most commercial CAD programs are based on curve-fitting formulas and lookup tables and not on accurate numerical characterization, the latter can be used if it is fast enough. In addition, it can be used to generate lookup tables and to check the accuracy of empirical formulas. Any numerical method for characterization needs to be as efficient and economical as possible in both CPU time and temporary storage requirement, although recent rapid advances in computers impose less severe restrictions on the efficiency and economy of the method. Another important aspect in the development of numerical methods has been the versatility of the method. In reality, however, numerical methods are chosen on the basis of trade-offs between accuracy, speed, storage requirements, versatility, etc. and are often structure dependent. The extensive recent developments in the area of time-domain numerical methods have established them among the major simulation, modelling and optimization tools, especially for ultrawideband and mixed-domain (solid-state, electromagnetic, digital, mechanical, thermal) components and modules, since they offer a very accurate representation of the real time-domain field variations. Their—mostly—parallelized nature enables their further acceleration with the aid of modern multiprocessor computers and modern parallelized computer cluster environments. The Sixth International Workshop on Computational Electromagnetics in the Time-Domain was held at Georgia Tech, Atlanta, GA, U.S.A., in 12–14 September 2005. It was attended by researchers around the globe, including Canada, France, Germany, Japan, United Kingdom, South Korea and United States. This Special Issue is a selection of the papers presented in the workshop. It represents part of the current progress and state-of-the-art in time-domain electromagnetic computational techniques. The first paper by Essakhi et al. discusses the global time-domain circuit simulation of a microwave rectenna. Next, a paper by Bommaraju et al. introduces a novel low-dispersive (2, 2) collocated FDTD scheme, while a paper by Ahmed et al. deals with improved-accuracy ADI-FDTD methods. The following paper by Carrion et al. proposes a new PML termination of conductive media for FDTD simulations for Bodies of Revolution. Chu et al. report in their paper the design of microwave structures combining MEFISTO-3D NOVA and MATLAB toolboxes. The next two papers focus on developments concerning TLM. Biwojno et al. [CEM-TD 2005 Best paper award] describe the development of a TLM mode with arbitrary embedded objects, while Lukashevich et al. introduce system identification and model order reduction to the TLM analysis. Last, but not least, Il-Suek Koh et al. give an overview of a semi-analytical time-domain formulation for low-frequency scattering. I would like to close with special acknowledgements to Dr Wolfgang Hoefer for his very insightful advise concerning the planning and the organization of the conference, to Dr Daniela Staiculescu for her valuable help with the review process of the submitted papers to this special issue and to Dr Samir El-Ghazaly for co-chairing the conference. We hope that this Special Issue provides readers with useful information on the CEM-TD and an additional motivation for the participation in the next CEM-TD conference to be held in Perugia, Italy on 15–17 October 2007.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».