BURA Collection:http://bura.brunel.ac.uk/handle/2438/1862014-04-19T19:44:07Z2014-04-19T19:44:07ZNew mathematical model for analysing three-phase controlled rectifier using switching functionsMarouchos, CDarwish, MKEl-Habrouk, Mhttp://bura.brunel.ac.uk/handle/2438/83232014-04-15T14:47:03Z2010-01-01T00:00:00ZTitle: New mathematical model for analysing three-phase controlled rectifier using switching functions
Authors: Marouchos, C; Darwish, MK; El-Habrouk, M
Abstract: The aim of this study is to present a set of closed-form analytical equations in order to enable the computation of the three-phase bridge rectifier steady-state performance estimation. The proposed method presented in this study is a fast, accurate and effective mathematical model for analysing three-phase full-wave controlled rectifiers. The steady-state mathematical model is based on the derivation of an appropriate set of switching functions using the general switching matrix circuit (GSMC) techniques. Once the switching functions are derived, the output current, input current and output dc voltage can all be easily derived and generated from the application of this technique. The effect of overlap is accurately modelled and the distortion (notches), frequency content on the input (voltage and current) and output voltage distortion are derived. The proposed mathematical model, unlike conventional analytical methods, can be integrated in the design of active filters. Furthermore, the output voltage reduction, the rms, average and peak values of voltages and currents for the thyristors and any other semiconductor devices used are readily available for the designer by direct substitution into closed-form equations without any need for the waste of time for worst-case scenario simulations. This method can also be applied to other types of converters, specifically to all voltage fed power converters.
Description: This paper is a postprint of a paper submitted to and accepted for publication in IET Power Electronics and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.2010-01-01T00:00:00ZSMART: Unique splitting-while-merging framework for gene clusteringFa, RRoberts, DJNandi, AKhttp://bura.brunel.ac.uk/handle/2438/83002014-04-14T10:52:41Z2014-01-01T00:00:00ZTitle: SMART: Unique splitting-while-merging framework for gene clustering
Authors: Fa, R; Roberts, DJ; Nandi, AK
Abstract: Successful clustering algorithms are highly dependent on parameter settings. The clustering performance degrades significantly unless parameters are properly set, and yet, it is difficult to set these parameters a priori. To address this issue, in this paper, we propose a unique splitting-while-merging clustering framework, named “splitting merging awareness tactics” (SMART), which does not require any a priori knowledge of either the number of clusters or even the possible range of this number. Unlike existing self-splitting algorithms, which over-cluster the dataset to a large number of clusters and then merge some similar clusters, our framework has the ability to split and merge clusters automatically during the process and produces the the most reliable clustering results, by intrinsically integrating many clustering techniques and tasks. The SMART framework is implemented with two distinct clustering paradigms in two algorithms: competitive learning and finite mixture model. Nevertheless, within the proposed SMART framework, many other algorithms can be derived for different clustering paradigms. The minimum message length algorithm is integrated into the framework as the clustering selection criterion. The usefulness of the SMART framework and its algorithms is tested in demonstration datasets and simulated gene expression datasets. Moreover, two real microarray gene expression datasets are studied using this approach. Based on the performance of many metrics, all numerical results show that SMART is superior to compared existing self-splitting algorithms and traditional algorithms. Three main properties of the proposed SMART framework are summarized as: (1) needing no parameters dependent on the respective dataset or a priori knowledge about the datasets, (2) extendible to many different applications, (3) offering superior performance compared with counterpart algorithms.
Description: Copyright @ 2014 Fa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted
use, distribution, and reproduction in any medium, provided the original author and source are credited.2014-01-01T00:00:00ZThe CMS tracker operation and performance at the Magnet Test and Cosmic ChallengeAdam, WBergauer, TDragicevic, MFriedl, MFruehwirth, RHaensel, SHrubec, JKrammer, MPernicka, MWaltenberger, WWidl, EKukulies, COlzem, JOstapchuk, APandoulas, DPierschel, GRaupach, FSchael, SSchwering, GThomas, MWeber, MVan Mechelen, PWittmer, BWlochal, MBeissel, FBock, EFlugge, GHermanns, THeydhausen, DJahn, DKaussen, GLinn, ACardaci, MPerchalla, LPoettgens, MPooth, OStahl, AZoeller, MHButz, EFricke, SFlucke, GKlanner, RPein, UBeaumont, WSchleper, PSteinbrueck, GBluem, PDe Boer, WDierlamm, ADirkes, GFahrer, MFrey, MFurgeri, AHartmann, Fde langhe, EHeier, SHoffmann, K-HLedermann, BLiamsuwan, TMueller, SMueller, TScheurer, AUSchilling, F-PSimonis, H-JZhukov, Vde Wolf, EADe Robertis, GFiore, LSilvestris, LTempesta, PZito, GCreanza, DDe Filippis, NDe Palma, MGiordano, DMaggi, GDelmeire, EManna, NMy, SRadicci, VSelvaggi, GAlbergo, SChiorboli, MCosta, SGalanti, MNoto, FPotenza, RBouhali, OSaizu, MASutera, CTricomi, ATuve, CCivinini, CManolescu, FMeschini, MPaoletti, SSguazzoni, GBroccolo, BCharaf, OCiulli, VD'Alessandro, RFocardi, EFrosali, SGenta, CLandi, GLenzi, PMacchiolo, AMagini, NMersi, SClerbaux, BParrini, GAzzi, PBacchetta, NCandelori, ADorigo, TKaminsky, ABisello, DDe Mattia, MGiubilato, PKhomenkov, VDewulf, J-PLoreti, MMattiazzo, SNigro, MPaccagnella, ATosi, MBilei, GMCheccucci, BFano, LServoli, LAmbroglini, FElgammal, SBabucci, EBenedetti, DBiasini, MCaponeri, BCovarelli, RGiorgi, MLariccia, PMantovani, GMarcantonini, MPostolache, VHammad, GSantocchia, ASpiga, DBagliesi, GBoccali, TBosi, FCastaldi, RCerri, CDell'Orso, RDobur, DDutta, Sde Lentdecker, GGiassi, AKraan, ACLomtadze, TMagazzu, GMartinelli, GMoggi, APalla, FPalmonari, FRaffaelli, FSanguinetti, GMarage, PSarkar, SSerban, ATSpagnolo, PTenchini, RVenturi, AVerdini, PGVos, MBasti, ABenucci, LBernardini, JVelde, CVBorrello, LFiori, FLinari, SMassa, MMessineo, ASegneri, GTonelli, GAzzurri, PBocci, AFoa, LVanlaer, PGennai, SLigabue, FMangano, BPetrucciani, GRizzi, ADemaria, NBorgia, MACastello, RCosta, MMigliore, EWickens, JRomero, AAbbaneo, DAhmed, IBloch, CBreuker, HBuchmuller, OCattai, ADelaere, CEdera, LMEppard, MDevroede, OGill, KGiolo-Nicollerat, A-SGrabit, RHonma, AHuhtinen, MKloukinas, KLjuslin, CMannelli, MMasetti, LMarchioro, ADe Weirdt, SMichal, SMirabito, LOnnela, APaillard, CPal, IPetagna, PPioppi, MPostema, HRanieri, RRicci, DD'Hondt, JRolandi, GRonga, FSiegrist, PTropea, PTroska, JTsirou, ADonckt, MVVasey, FChurch, ICole, JGoorens, RCoughlan, JGay, ATaghavi, STomalin, IBainbridge, RCripps, NFulcher, JHall, GNoy, MPesaresi, MHeyninck, JRadicci, VRaymond, DMRose, ASharp, PStoye, MWingham, MZorba, OGoitom, IHobson, PRReid, IDMaes, JTeodorescu, LBose, MHanson, GJeng, G-YLiu, HPasztor, GSatpathy, AStringer, RCampagnari, CD'Alfonso, MTavernier, SGarberson, JIncandela, JKalavase, PKovalskyi, DKyre, SLamb, JLowette, SRebassoo, FRibnik, JRichman, JVan Lancker, LRossin, RStuart, DSwain, SVlimant, J-RWhite, DWagner, SRBagby, LBhat, PBurkett, KGutsche, OVan Mulders, PJensen, HJohnson, MMason, DMiao, TNoeding, CSkup, ESpalding, WSpiegel, LTkaczyk, SYumiceva, FVillella, IAnghel, IBazterra, VEGerber, CEKhalatian, SShabalina, EBaringer, PBean, AChen, JMoulik, TBolton, TAssouak, SOnoprienko, DWan, ZGritsan, ALae, CKTran, NEveraerts, PHahn, KAHarris, PNahn, SRudolph, MBonnet, J-LRoland, CSung, KBetchart, BDemina, RGotra, YKorjenevski, SMiner, DOrbaker, DChristofek, LHooper, RBruno, GLandsberg, GNguyen, DNarain, MSpeer, TTsang, KVDe Callatay, BDe Visscher, SFavart, DFlorins, BForton, EGiammanco, AGregoire, GKalinin, SKcira, DKeutgen, TLemaitre, VMichotte, DMilitaru, OOvyn, SPiotrzkowski, KRouby, XTeyssier, DVan der Aa, ODaubie, EAnttila, ECzellar, SHarkonen, JKarimaki, VLampen, TLinden, TLuukka, P-RMaenpaa, TTuominen, ETuominiemi, JBoudoul, GChabanat, EChabert, EChierici, RContardoa, DEstre, NHaroutunian, RLumb, NPerries, STrocme, BAgram, J-LBlaes, RDrouhin, FFontaine, J-CBerst, J-DBrom, J-MGoerlach, UGraehling, PGross, LHosselet, JJuillot, PMaazouzi, COllivetto, CVan Hove, PAnagnostou, GBrauer, REsser, HFeld, LKarpinski, WKlein, Khttp://bura.brunel.ac.uk/handle/2438/82942014-04-14T10:00:32Z2008-01-01T00:00:00ZTitle: The CMS tracker operation and performance at the Magnet Test and Cosmic Challenge
Authors: Adam, W; Bergauer, T; Dragicevic, M; Friedl, M; Fruehwirth, R; Haensel, S; Hrubec, J; Krammer, M; Pernicka, M; Waltenberger, W; Widl, E; Kukulies, C; Olzem, J; Ostapchuk, A; Pandoulas, D; Pierschel, G; Raupach, F; Schael, S; Schwering, G; Thomas, M; Weber, M; Van Mechelen, P; Wittmer, B; Wlochal, M; Beissel, F; Bock, E; Flugge, G; Hermanns, T; Heydhausen, D; Jahn, D; Kaussen, G; Linn, A; Cardaci, M; Perchalla, L; Poettgens, M; Pooth, O; Stahl, A; Zoeller, MH; Butz, E; Fricke, S; Flucke, G; Klanner, R; Pein, U; Beaumont, W; Schleper, P; Steinbrueck, G; Bluem, P; De Boer, W; Dierlamm, A; Dirkes, G; Fahrer, M; Frey, M; Furgeri, A; Hartmann, F; de langhe, E; Heier, S; Hoffmann, K-H; Ledermann, B; Liamsuwan, T; Mueller, S; Mueller, T; Scheurer, AU; Schilling, F-P; Simonis, H-J; Zhukov, V; de Wolf, EA; De Robertis, G; Fiore, L; Silvestris, L; Tempesta, P; Zito, G; Creanza, D; De Filippis, N; De Palma, M; Giordano, D; Maggi, G; Delmeire, E; Manna, N; My, S; Radicci, V; Selvaggi, G; Albergo, S; Chiorboli, M; Costa, S; Galanti, M; Noto, F; Potenza, R; Bouhali, O; Saizu, MA; Sutera, C; Tricomi, A; Tuve, C; Civinini, C; Manolescu, F; Meschini, M; Paoletti, S; Sguazzoni, G; Broccolo, B; Charaf, O; Ciulli, V; D'Alessandro, R; Focardi, E; Frosali, S; Genta, C; Landi, G; Lenzi, P; Macchiolo, A; Magini, N; Mersi, S; Clerbaux, B; Parrini, G; Azzi, P; Bacchetta, N; Candelori, A; Dorigo, T; Kaminsky, A; Bisello, D; De Mattia, M; Giubilato, P; Khomenkov, V; Dewulf, J-P; Loreti, M; Mattiazzo, S; Nigro, M; Paccagnella, A; Tosi, M; Bilei, GM; Checcucci, B; Fano, L; Servoli, L; Ambroglini, F; Elgammal, S; Babucci, E; Benedetti, D; Biasini, M; Caponeri, B; Covarelli, R; Giorgi, M; Lariccia, P; Mantovani, G; Marcantonini, M; Postolache, V; Hammad, G; Santocchia, A; Spiga, D; Bagliesi, G; Boccali, T; Bosi, F; Castaldi, R; Cerri, C; Dell'Orso, R; Dobur, D; Dutta, S; de Lentdecker, G; Giassi, A; Kraan, AC; Lomtadze, T; Magazzu, G; Martinelli, G; Moggi, A; Palla, F; Palmonari, F; Raffaelli, F; Sanguinetti, G; Marage, P; Sarkar, S; Serban, AT; Spagnolo, P; Tenchini, R; Venturi, A; Verdini, PG; Vos, M; Basti, A; Benucci, L; Bernardini, J; Velde, CV; Borrello, L; Fiori, F; Linari, S; Massa, M; Messineo, A; Segneri, G; Tonelli, G; Azzurri, P; Bocci, A; Foa, L; Vanlaer, P; Gennai, S; Ligabue, F; Mangano, B; Petrucciani, G; Rizzi, A; Demaria, N; Borgia, MA; Castello, R; Costa, M; Migliore, E; Wickens, J; Romero, A; Abbaneo, D; Ahmed, I; Bloch, C; Breuker, H; Buchmuller, O; Cattai, A; Delaere, C; Edera, LM; Eppard, M; Devroede, O; Gill, K; Giolo-Nicollerat, A-S; Grabit, R; Honma, A; Huhtinen, M; Kloukinas, K; Ljuslin, C; Mannelli, M; Masetti, L; Marchioro, A; De Weirdt, S; Michal, S; Mirabito, L; Onnela, A; Paillard, C; Pal, I; Petagna, P; Pioppi, M; Postema, H; Ranieri, R; Ricci, D; D'Hondt, J; Rolandi, G; Ronga, F; Siegrist, P; Tropea, P; Troska, J; Tsirou, A; Donckt, MV; Vasey, F; Church, I; Cole, J; Goorens, R; Coughlan, J; Gay, A; Taghavi, S; Tomalin, I; Bainbridge, R; Cripps, N; Fulcher, J; Hall, G; Noy, M; Pesaresi, M; Heyninck, J; Radicci, V; Raymond, DM; Rose, A; Sharp, P; Stoye, M; Wingham, M; Zorba, O; Goitom, I; Hobson, PR; Reid, ID; Maes, J; Teodorescu, L; Bose, M; Hanson, G; Jeng, G-Y; Liu, H; Pasztor, G; Satpathy, A; Stringer, R; Campagnari, C; D'Alfonso, M; Tavernier, S; Garberson, J; Incandela, J; Kalavase, P; Kovalskyi, D; Kyre, S; Lamb, J; Lowette, S; Rebassoo, F; Ribnik, J; Richman, J; Van Lancker, L; Rossin, R; Stuart, D; Swain, S; Vlimant, J-R; White, D; Wagner, SR; Bagby, L; Bhat, P; Burkett, K; Gutsche, O; Van Mulders, P; Jensen, H; Johnson, M; Mason, D; Miao, T; Noeding, C; Skup, E; Spalding, W; Spiegel, L; Tkaczyk, S; Yumiceva, F; Villella, I; Anghel, I; Bazterra, VE; Gerber, CE; Khalatian, S; Shabalina, E; Baringer, P; Bean, A; Chen, J; Moulik, T; Bolton, T; Assouak, S; Onoprienko, D; Wan, Z; Gritsan, A; Lae, CK; Tran, N; Everaerts, P; Hahn, KA; Harris, P; Nahn, S; Rudolph, M; Bonnet, J-L; Roland, C; Sung, K; Betchart, B; Demina, R; Gotra, Y; Korjenevski, S; Miner, D; Orbaker, D; Christofek, L; Hooper, R; Bruno, G; Landsberg, G; Nguyen, D; Narain, M; Speer, T; Tsang, KV; De Callatay, B; De Visscher, S; Favart, D; Florins, B; Forton, E; Giammanco, A; Gregoire, G; Kalinin, S; Kcira, D; Keutgen, T; Lemaitre, V; Michotte, D; Militaru, O; Ovyn, S; Piotrzkowski, K; Rouby, X; Teyssier, D; Van der Aa, O; Daubie, E; Anttila, E; Czellar, S; Harkonen, J; Karimaki, V; Lampen, T; Linden, T; Luukka, P-R; Maenpaa, T; Tuominen, E; Tuominiemi, J; Boudoul, G; Chabanat, E; Chabert, E; Chierici, R; Contardoa, D; Estre, N; Haroutunian, R; Lumb, N; Perries, S; Trocme, B; Agram, J-L; Blaes, R; Drouhin, F; Fontaine, J-C; Berst, J-D; Brom, J-M; Goerlach, U; Graehling, P; Gross, L; Hosselet, J; Juillot, P; Maazouzi, C; Ollivetto, C; Van Hove, P; Anagnostou, G; Brauer, R; Esser, H; Feld, L; Karpinski, W; Klein, K
Abstract: During summer 2006 a fraction of the CMS silicon strip tracker was operated in a comprehensive slice test called the Magnet Test and Cosmic Challenge (MTCC). At the MTCC, cosmic rays detected in the muon chambers were used to trigger the readout of all CMS sub-detectors in the general data acquisition system and in the presence of the 4 T magnetic field produced by the CMS superconducting solenoid. This document describes the operation of the Tracker hardware and software prior, during and after data taking. The performance of the detector as resulting from the MTCC data analysis is also presented.
Description: Copyright @ 2008 IOP Publishing Ltd and SISSA. This is the author's accepted manuscript. The final published article is available from the link below.2008-01-01T00:00:00ZEnd-to-end 3D video communication over heterogeneous networksMohib, Hamdullahhttp://bura.brunel.ac.uk/handle/2438/82932014-04-11T13:50:17Z2014-01-01T00:00:00ZTitle: End-to-end 3D video communication over heterogeneous networks
Authors: Mohib, Hamdullah
Abstract: Three-dimensional technology, more commonly referred to as 3D technology, has revolutionised many fields including entertainment, medicine, and communications to name a few. In addition to 3D films, games, and sports channels, 3D perception has made tele-medicine a reality. By the year 2015, 30% of the all HD panels at home will be 3D enabled, predicted by consumer electronics manufacturers. Stereoscopic cameras, a comparatively mature technology compared to other 3D systems, are now being used by ordinary citizens to produce 3D content and share at a click of a button just like they do with the 2D counterparts via sites like YouTube. But technical challenges still exist, including with autostereoscopic multiview displays. 3D content requires many complex considerations--including how to represent it, and deciphering what is the best compression format--when considering transmission or storage, because of its increased amount of data. Any decision must be taken in the light of the available bandwidth or storage capacity, quality and user expectations. Free viewpoint navigation also remains partly unsolved. The most pressing issue getting in the way of widespread uptake of consumer 3D systems is the ability to deliver 3D content to heterogeneous consumer displays over the heterogeneous networks. Optimising 3D video communication solutions must consider the entire pipeline, starting with optimisation at the video source to the end display and transmission optimisation. Multi-view offers the most compelling solution for 3D videos with motion parallax and freedom from wearing headgear for 3D video perception. Optimising multi-view video for delivery and display could increase the demand for true 3D in the consumer market. This thesis focuses on an end-to-end quality optimisation in 3D video communication/transmission, offering solutions for optimisation at the compression, transmission, and decoder levels.
Description: This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.2014-01-01T00:00:00Z