1.

Record Nr.

UNISA996466369803316

Autore

Staab Steffen

Titolo

Grading knowledge : Extracting degree information from texts / / Steffen Staab

Pubbl/distr/stampa

Berlin, Germany ; ; New York, New York : , : Springer, , [1999]

©1999

ISBN

3-540-46618-5

Edizione

[1st ed. 1999.]

Descrizione fisica

1 online resource (XVI, 192 p.)

Collana

Lecture Notes in Artificial Intelligence ; ; 1744

Disciplina

006.35

Soggetti

Natural language processing (Computer science)

Text processing (Computer science)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

ParseTalk — The System Context -- Lexical Semantics of Degree Expressions -- Representation and Inferences -- Relative Comparisons -- Absolute Comparisons -- Integration and Conclusion -- List of Conventions -- The Entity-Relationship Model -- Auxiliary Proofs.



2.

Record Nr.

UNINA9910254189603321

Autore

Cheng Nan

Titolo

Opportunistic Spectrum Utilization in Vehicular Communication Networks / / by Nan Cheng, Xuemin (Sherman) Shen

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016

ISBN

3-319-20445-9

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (82 p.)

Collana

SpringerBriefs in Electrical and Computer Engineering, , 2191-8112

Disciplina

620

Soggetti

Electrical engineering

Computer communication systems

Communications Engineering, Networks

Computer Communication Networks

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Introduction -- Opportunistic Communication Spectra Utilization -- Opportunistic Spectrum Access Through Cognitive Radio -- Performance Analysis of WiFi Offloading in Vehicular Environments -- Conclusions and Future Directions.

Sommario/riassunto

This brief examines current research on improving Vehicular Networks (VANETs), examining spectrum scarcity due to the dramatic growth of mobile data traffic and the limited bandwidth of dedicated vehicular communication bands and the use of opportunistic spectrum bands to mitigate congestion. It reviews existing literature on the use of opportunistic spectrum bands for VANETs, including licensed and unlicensed spectrum bands and a variety of related technologies, such as cognitive radio, WiFi and device-to-device communications. Focused on analyzing spectrum characteristics, designing efficient spectrum exploitation schemes, and evaluating the date delivery performance when utilizing different opportunistic spectrum bands, the results presented in this brief provide valuable insights on improving the design and deployment of future VANETs.