<rdf:RDF xmlns:community="http://www.bibsonomy.org/ontologies/2008/05/community#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:admin="http://webns.net/mvcb/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:cc="http://web.resource.org/cc/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" xmlns:swrc="http://swrc.ontoware.org/ontology#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xml:base="http://www.bibsonomy.org/author/Xu"><owl:Ontology rdf:about=""><rdfs:comment>BibSonomy publications for /author/Xu</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/27480fff053dd4d77909f75d8d843606a/atriana"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/27480fff053dd4d77909f75d8d843606a/atriana"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Tue Feb 14 04:46:53 CET 2012</swrc:date><swrc:journal>Transportation Research Part C-emerging Technologies</swrc:journal><swrc:month>#apr#</swrc:month><swrc:number>2</swrc:number><swrc:pages>85--98</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Pergamon-elsevier Science Ltd"/></swrc:publisher><swrc:title>Urban traffic flow prediction using a fuzzy-neural approach RID A-7258-2008</swrc:title><swrc:volume>10</swrc:volume><swrc:year>2002</swrc:year><swrc:abstract>This paper develops a fuzzy-neural model (FNM) to predict the traffic flows in an urban street network, which has long been considered a major element in the responsive urban traffic control systems. The FNM consists of two modules: a gate network (GN) and an expert network (EN). The GN classifies the input data into a number of clusters using a fuzzy approach, and the EN specifies the input-output relationship as in a conventional neural network approach. While the GN groups traffic patterns of similar characteristics into clusters, the EN models the specific relationship within each cluster. An online rolling training procedure is proposed to train the FNM, which enhances its predictive power through adaptive adjustments of the model coefficients in response to the real-time traffic conditions. Both simulation and real observation data are used to demonstrative the effectiveness of the method. (C) 2002 Elsevier Science Ltd. All rights reserved.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="Yin, HB (reprint author), S China Univ Technol, Coll Traff &amp; Commun, Guangzhou, Peoples R China" swrc:key="rp"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="0968-090X" swrc:key="sn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="12" swrc:key="nr"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="TRANSPORT RES C-EMER" swrc:key="j9"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="Transportation" swrc:key="sc"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="WOS:000173105800001" swrc:key="ut"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="98" swrc:key="z9"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="508TN" swrc:key="ga"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="2012.02.06" swrc:key="timestamp"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="traffic flow prediction; urban traffic control system; fuzzy-neuralEOLEOLmodel; online rolling training procedure; time series forecasting" swrc:key="de"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="atriana" swrc:key="username"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="14" swrc:key="pg"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="7480fff053dd4d77909f75d8d843606a" swrc:key="intrahash"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="S China Univ Technol, Coll Traff &amp; Commun, Guangzhou, Peoples R China.EOLEOLUniv Hong Kong, Dept Civil Engn, Hong Kong, Hong Kong, Peoples R China." swrc:key="c1"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND" swrc:key="pa"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="86" swrc:key="tc"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="Transp. Res. Pt. C-Emerg. Technol." swrc:key="ji"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="English" swrc:key="la"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="*FED HIGHW ADM, 1998, TRAFF SOFTW INT SYST ; LEDOUX C, 1997, TRANSPORT RES C-EMER, V5, P287 ; SHEPHERD AJ, 1997, 2 ORDER METHODS NEUR ; GARTNER NH, 1995, TRANSPORT RES REC, V1494, P98 ; DOUGHERTY MS, 1994, ARTIF INTELL, P235 ; WASSERMAN PD, 1993, ADV METHODS NEURAL C ; BOILLOT F, 1992, 2 INT CAPR SEM URB T, P753 ; GARTNER NH, 1991, TRANSPORT RES REC, V1324, P105 ; LUK JYK, 1989, SR43 AUSTR ROAD RES ; CREMER M, 1987, TRANSPORTATION RES B, V21, P17 ; HUNT PB, 1981, LR1014 TRRL ; SIMS AG, 1979, P ENG FDN C RES DIR, P12" swrc:key="citedreferences"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="OXFORD" swrc:key="pi"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="Transportation Science &amp; Technology" swrc:key="wc"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="public" swrc:key="groups"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1016/S0968-090X(01)00004-3" swrc:key="doi"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="Yin, HBEOLEOLWong, SCEOLEOLXu, JMEOLEOLWong, CK" swrc:key="af"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="H. B. Yin"/></rdf:_1><rdf:_2><swrc:Person swrc:name="S. C. Wong"/></rdf:_2><rdf:_3><swrc:Person swrc:name="J. M. Xu"/></rdf:_3><rdf:_4><swrc:Person swrc:name="C. K. Wong"/></rdf:_4></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2f9744b92ec931ef0eac56d211a0b9cde/fhrleroy"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2f9744b92ec931ef0eac56d211a0b9cde/fhrleroy"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://stacks.iop.org/0957-4484/20/i=18/a=185701"/><swrc:date>Mon Feb 13 22:30:48 CET 2012</swrc:date><swrc:journal>Nanotechnology</swrc:journal><swrc:number>18</swrc:number><swrc:pages>185701</swrc:pages><swrc:title>Strain controlled thermomutability of single-walled carbon nanotubes</swrc:title><swrc:volume>20</swrc:volume><swrc:year>2009</swrc:year><swrc:keywords>Heat-Transfer-Solids Heat-Transfer </swrc:keywords><swrc:abstract>Carbon nanotubes are superior materials for thermal management and phononic device use due to their extremely high thermal conductivity and unique one-dimensional geometry. Here we report a systematic investigation of the effects of mechanical tensile, compressive and torsional strain on the thermal conductivity of single-walled carbon nanotubes using molecular dynamics simulation. In contrast to conventional predictions for solids, an unexpected dependence on the applied strain is revealed by the low-dimensional nature and tubular geometry of carbon nanotubes. Under tension, the thermal conductivity is reduced due to the softening of G-band phonon modes. Under compression—in contrast to the case for conventional theories for solids—geometric instabilities lower the thermal conductivity due to the scattering, shortening of the mean free path and interface resistance that arise from localized radial buckling. We find that when torsional strain is applied, the thermal conductivity drops as well, with significant reductions once the carbon nanotube begins to buckle. This thermomutability concept—the ability to control thermal properties by means of external cues—could be used in developing novel thermal materials whose properties can be altered in situ .</swrc:abstract><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Zhiping Xu"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Markus J Buehler"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2be99133a417601285192275bffb5aad3/fhrleroy"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2be99133a417601285192275bffb5aad3/fhrleroy"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://pubs.acs.org/doi/abs/10.1021/nn9006237"/><swrc:date>Mon Feb 13 22:20:51 CET 2012</swrc:date><swrc:journal>ACS Nano</swrc:journal><swrc:note>PMID: 19702296</swrc:note><swrc:number>9</swrc:number><swrc:pages>2767-2775</swrc:pages><swrc:title>Nanoengineering Heat Transfer Performance at Carbon Nanotube Interfaces</swrc:title><swrc:volume>3</swrc:volume><swrc:year>2009</swrc:year><swrc:keywords>Heat-Transfer-Solids Heat-Transfer </swrc:keywords><swrc:abstract> Carbon nanotubes are superb materials for nanoscale thermal management and phononic devices applications, due to their extremely high thermal conductivity (3000â6600 W/mK) and quasi-one-dimensional geometry. However, the presence of interfaces between individual carbon nanotubes as found widely in nanocomposites, nanoelectronics, and nanodevices severely limits their performance for larger scale applications. Solving this issue requires a deep understanding of the heat transfer mechanism at this nanoscale interface between low-dimensional structures, where conventional models developed for interfaces in bulk materials do not apply. Here we address this challenge through a bottom-up approach based on atomistic simulations. We demonstrate that the huge thermal resistance of carbon nanotube junctions can be significantly improved through modifying the molecular structure at the interface to enhance both the matching of phonon spectra and phonon mode coupling. Specifically, two approaches based on polymer wrapping and metal coatings are investigated here and have shown to improve both the structural stability and interfacial thermal conductivity of carbon nanotube junctions. By properly designing the interface molecular structure between individual carbon nanotubes, significant performance gains up to a factor of 4 can be achieved. These results pave the way for future designs of thermal management networks and phononic devices with thermally transparent and structurally stable interfaces. </swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="10.1021/nn9006237" swrc:key="doi"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="http://pubs.acs.org/doi/pdf/10.1021/nn9006237" swrc:key="eprint"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Zhiping Xu"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Markus J. Buehler"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/249719d13c6da0c5f6917b97ef777184e/chriskoerner"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/249719d13c6da0c5f6917b97ef777184e/chriskoerner"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://.inf.unisi.ch/phd/mesnage/site/Readings/Readings.html"/><swrc:date>Mon Feb 13 19:00:52 CET 2012</swrc:date><swrc:address>Edinburgh, Scotland</swrc:address><swrc:booktitle>Proceedings of the Collaborative Web Tagging Workshop at the WWW 2006</swrc:booktitle><swrc:month>may</swrc:month><swrc:title>Towards the Semantic Web: Collaborative Tag Suggestions</swrc:title><swrc:year>2006</swrc:year><swrc:keywords>taggingsurvey suggestions pragmatics </swrc:keywords><swrc:abstract>Content organization over the Internet went through several interesting phases of evolution: from structured directories to unstructured Web search engines and more recently, to tagging as a way for aggregating information, a step towards the semantic web vision. Tagging allows ranking and data organization to directly utilize inputs from end users, enabling machine processing of Web content. Since tags are created by individual users in a free form, one important problem facing tagging is to identify most appropriate tags, while eliminating noise and spam. For this purpose, we define a set of general criteria for a good tagging system. These criteria include high coverage of multiple facets to ensure good recall, least effort to reduce the cost involved in browsing, and high popularity to ensure tag quality. We propose a collaborative tag suggestion algorithm using these criteria to spot high-quality tags. The proposed algorithm employs a goodness measure for tags derived from collective user authorities to combat spam. The goodness measure is iteratively adjusted by a reward-penalty algorithm, which also incorporates other sources of tags, e.g., content-based auto-generated tags. Our experiments based on My Web 2.0 show that the algorithm is effective.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="dbenz" swrc:key="username"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="2006-07-17" swrc:key="lastdatemodified"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="xu2006towards.pdf:xu2006towards.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="xu06-towards.pdf" swrc:key="pdf"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="readnext" swrc:key="read"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="Xu" swrc:key="lastname"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="own" swrc:key="own"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="public" swrc:key="groups"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Zhichen Xu"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Yun Fu"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Jianchang Mao"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Difu Su"/></rdf:_4></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2b0e3f1ccea91ec9f446e20bc35ef2867/awolff"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2b0e3f1ccea91ec9f446e20bc35ef2867/awolff"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://dx.doi.org/10.1007/3-540-45253-2_34"/><swrc:date>Mon Feb 13 15:23:25 CET 2012</swrc:date><swrc:booktitle>Proc. 8th Annu. Europ. Symp. on Algorithms (ESA&#039;00)</swrc:booktitle><swrc:pages>368--379</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Springer-Verlag"/></swrc:publisher><swrc:series>Lecture Notes in Computer Science</swrc:series><swrc:title>New Algorithms for Two-Label Point Labeling</swrc:title><swrc:volume>1879</swrc:volume><swrc:year>2000</swrc:year><swrc:keywords>myown </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="Saarbr{\&#034;u}cken" swrc:key="location"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="af-aesam-84, a-vdsfg-91, c-accgc-96, cms-esapf-95,
                  dlss-sdakp-95, dmmmz-mlg-97, dmm-pslsp-00,
                  df-esdmn-89, eis-ctmfp-76, f-agpsp-92, fw-ppalm-91,
                  fw-eskml-93, h-aanpa-82, kt-mlpp-98, kr-pcr-92,
                  pzc-ptslr-98, sw-lpc-99, ksw-plsl-99, ww-pmla-97,
                  zp-eaaml-99, zq-naaml-02, ZZZ" swrc:key="cites"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="wtx-blb2c-00" swrc:key="precedes"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="{5--8~}#sep" swrc:key="confmonth"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="kt-mlpp-98, zp-eaaml-99, zq-naaml-02, qwxz-na2lp-00t" swrc:key="succeeds"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/3-540-45253-2_34" swrc:key="doi"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="http://www1.informatik.uni-wuerzburg.de/pub/wolff/pub/qwxz-na2lp-00.ps.gz" swrc:key="ps"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Zhongping Qin"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Alexander Wolff"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Yinfeng Xu"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Binhai Zhu"/></rdf:_4></rdf:Seq></swrc:author><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="Mike Paterson"/></rdf:_1></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2eb4818ba044f52ec9da9c3a4ff76e7b4/awolff"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2eb4818ba044f52ec9da9c3a4ff76e7b4/awolff"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#TechnicalReport"/><owl:sameAs rdf:resource="http://www.cs.ust.hk/tcsc/RR/index_3.html"/><swrc:date>Mon Feb 13 15:23:25 CET 2012</swrc:date><swrc:institution><swrc:Organization swrc:name="Hongkong University of Science and Technology"/></swrc:institution><swrc:month>jun</swrc:month><swrc:number>HKUST-TCSC-2000-06</swrc:number><swrc:title>New Algorithms for Two-Label Point Labeling</swrc:title><swrc:type>Technical report</swrc:type><swrc:year>2000</swrc:year><swrc:keywords>myown </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="http://www.cs.ust.hk/tcsc/RR/2000-06.ps.gz" swrc:key="ps"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Zhongping Qin"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Alexander Wolff"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Yinfeng Xu"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Binhai Zhu"/></rdf:_4></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/251bb9ca1015fc767dec38489a96d3279/awolff"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/251bb9ca1015fc767dec38489a96d3279/awolff"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><swrc:date>Mon Feb 13 15:23:25 CET 2012</swrc:date><swrc:booktitle>Tagungsband der Informatiktage</swrc:booktitle><swrc:title>{Ein neuer Algorithmus zur Beschriftung von
                  Punkten mit je zwei Kreisen}</swrc:title><swrc:year>2000</swrc:year><swrc:keywords>myown </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="Bad Schussenried" swrc:key="location"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="as-dssga-99, a-vdsfg-91 dmm-pslsp-00, i-ank-62
                  kt-mlpp-98, qwxz-na2lp-00, sw-lpc-01, zp-eaaml-99,
                  ZZZ" swrc:key="cites"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="wtx-blb2c-00" swrc:key="precedes"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="{27--28~}#oct" swrc:key="confmonth"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="German" swrc:key="language"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Michael Thon"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Alexander Wolff"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Yinfeng Xu"/></rdf:_3></rdf:Seq></swrc:author><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name=" {Gesellschaft f{\&#034;u}r Informatik e.V.}"/></rdf:_1></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2debdcf02e76f17d6b48e8ac26eed98fd/awolff"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2debdcf02e76f17d6b48e8ac26eed98fd/awolff"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://dx.doi.org/10.1007/3-540-40996-3"/><swrc:date>Mon Feb 13 15:23:25 CET 2012</swrc:date><swrc:booktitle>Proc. 11th Annu. Int. Symp. Algorithms Comput. 
                  (ISAAC&#039;00)</swrc:booktitle><swrc:pages>422--431</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Springer-Verlag"/></swrc:publisher><swrc:series>Lecture Notes in Computer Science</swrc:series><swrc:title>A Better Lower Bound for Two-Circle Point Labeling</swrc:title><swrc:volume>1969</swrc:volume><swrc:year>2000</swrc:year><swrc:keywords>myown </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="Taipei" swrc:key="location"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="af-aesam-84, as-dssga-99, a-vdsfg-91, c-accgc-96,
                  cms-esapf-95, df-esdmn-89, dmmmz-mlg-97,
                  dmm-pslsp-00, fw-ppalm-91, h-aanpa-82, ksy-p2dcp-99,
                  ksy-lrmsl-99, kt-mlpp-98, m-ctcc-80, qwxz-na2lp-00,
                  sw-lpc-01, ksw-plsl-99, ws-mlb-96, ww-pmla-97,
                  z-sl01i-90, zp-eaaml-99, ZZZ" swrc:key="cites"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="http://www1.informatik.uni-wuerzburg.de/pub/wolff/pub/wtx-blb2c-00.pdf" swrc:key="pdf"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="wtx-sf23a-02" swrc:key="precedes"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="{18--20~}#dec" swrc:key="confmonth"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="kt-mlpp-98, zp-eaaml-99, zq-naaml-02, qwxz-na2lp-00" swrc:key="succeeds"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/3-540-40996-3" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Alexander Wolff"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Michael Thon"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Yinfeng Xu"/></rdf:_3></rdf:Seq></swrc:author><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="D.T. Lee"/></rdf:_1><rdf:_2><swrc:Person swrc:name="S.-H. Teng"/></rdf:_2></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/23d120c25bc1bb52707162f698be22d0e/awolff"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/23d120c25bc1bb52707162f698be22d0e/awolff"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://dx.doi.org/10.1142/S0218195902000888"/><swrc:date>Mon Feb 13 15:23:25 CET 2012</swrc:date><swrc:journal>International Journal of Computational Geometry and Applications</swrc:journal><swrc:number>4</swrc:number><swrc:pages>269--281</swrc:pages><swrc:title>A Simple Factor-2/3 Approximation Algorithm for
                  Two-Circle Point Labeling</swrc:title><swrc:volume>12</swrc:volume><swrc:year>2002</swrc:year><swrc:keywords>myown multi-label_point_labeling cartography approximation_algorithm Voronoi_diagram </swrc:keywords><swrc:abstract>Given a set $P$ of $n$ points in the plane, the
                  two-circle point-labeling problem consists of
                  placing $2n$ uniform, non-intersecting, maximum-size
                  open circles such that each point touches exactly
                  two circles.  \par It is known that this problem is
                  NP-hard to approximate. In this paper we give a
                  simple algorithm that improves the best previously
                  known approximation factor from $4/(1+\sqrt{33})
                  \approx 0.5931$ to 2/3. The main steps of our
                  algorithm are as follows. We first compute the
                  Voronoi diagram, then label each point
                  \emph{optimally} within its cell, compute the
                  smallest label diameter over all points and finally
                  shrink all labels to this size. We keep the $O(n
                  \log n)$ time and $O(n)$ space bounds of the
                  previously best algorithm.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="af-aesam-84, agss-ltacv-89, a-vdsfg-91,
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                  fw-ppalm-91, h-aanpa-82, ksy-lrmsl-99, kt-mlpp-98,
                  m-ctcc-80, ocon-nlaic-82, qwxz-na2lp-00, sw-lpc-01,
                  ksw-plsl-99, ws-mlb-96, wtx-blb2c-00, ww-pmla-97,
                  z-sl01i-90, zp-eaa2l-01, ZZZ" swrc:key="cites"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="http://www1.informatik.uni-wuerzburg.de/pub/wolff/pub/wtx-sf23a-02.pdf" swrc:key="pdf"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="wtx-blb2c-00" swrc:key="succeeds"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1142/S0218195902000888" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Alexander Wolff"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Michael Thon"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Yinfeng Xu"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/20809fdb7ce7a6af4ebb83f38dfa03075/dblp"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/20809fdb7ce7a6af4ebb83f38dfa03075/dblp"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://dblp.uni-trier.de/db/journals/cm/cm49.html#ChenZXL11"/><swrc:date>Mon Feb 13 00:00:00 CET 2012</swrc:date><swrc:journal>IEEE Communications Magazine</swrc:journal><swrc:number>6</swrc:number><swrc:pages>30-37</swrc:pages><swrc:title>Fundamental trade-offs on green wireless networks.</swrc:title><swrc:volume>49</swrc:volume><swrc:year>2011</swrc:year><swrc:keywords>dblp </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="http://dx.doi.org/10.1109/MCOM.2011.5783982" swrc:key="ee"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Yan Chen"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Shunqing Zhang"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Shugong Xu"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Geoffrey Ye Li"/></rdf:_4></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/217ee73f23c6cadbd62b6c5c7b95d0d41/dblp"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/217ee73f23c6cadbd62b6c5c7b95d0d41/dblp"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://dblp.uni-trier.de/db/journals/cm/cm49.html#LuLLSL11"/><swrc:date>Mon Feb 13 00:00:00 CET 2012</swrc:date><swrc:journal>IEEE Communications Magazine</swrc:journal><swrc:number>4</swrc:number><swrc:pages>28-35</swrc:pages><swrc:title>GRS: The green, reliability, and security of emerging machine to machine communications.</swrc:title><swrc:volume>49</swrc:volume><swrc:year>2011</swrc:year><swrc:keywords>dblp </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="http://dx.doi.org/10.1109/MCOM.2011.5741143" swrc:key="ee"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Rongxing Lu"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Xu Li"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Xiaohui Liang"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Xuemin Shen"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Xiaodong Lin"/></rdf:_5></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/24f1a82737f3be35dae1e2eb34ed4097e/dblp"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/24f1a82737f3be35dae1e2eb34ed4097e/dblp"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://dblp.uni-trier.de/db/journals/icl/icl8.html#XuL04"/><swrc:date>Mon Feb 13 00:00:00 CET 2012</swrc:date><swrc:journal>IEEE Communications Letters</swrc:journal><swrc:number>9</swrc:number><swrc:pages>582-584</swrc:pages><swrc:title>A batch processing constant modulus algorithm.</swrc:title><swrc:volume>8</swrc:volume><swrc:year>2004</swrc:year><swrc:keywords>dblp </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="http://dx.doi.org/10.1109/LCOMM.2004.835330" swrc:key="ee"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Changjiang Xu"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Jian Li"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/29da55b0d0f689bd2f3c1038512bb3839/dblp"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/29da55b0d0f689bd2f3c1038512bb3839/dblp"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://dblp.uni-trier.de/db/journals/tim/tim61.html#XuTLCL12"/><swrc:date>Mon Feb 13 00:00:00 CET 2012</swrc:date><swrc:journal>IEEE T. 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