254 research outputs found
Single Production of Fourth Family Sneutrino via RPV Couplings at Linear Colliders
The single production of fourth family sneutrino via
R-parity violating interactions in electron-positron collisions has been
investigated. We study the decays of into different flavor
dilepton via R-parity violation. It is shown that R-parity
violating couplings down to 0.001 will be
reachable at future linear colliders which would provide better accuracy
comparing to the indirect measurements as complementary to the LHC results.Comment: 11 pages, 6 figure
Has the anomalous single production of the fourth SM family quarks decaying into light Higgs boson been observed by CDF?
Superjet events observed by the CDF Collaboration are interpreted as
anomalous single production of the fourth SM family u_4 quark, decaying into a
new light scalar particle. The specific predictions of the proposed mechanism
are discussed.Comment: 5 pages, 1 tabl
A Search for Vector Diquarks at the CERN LHC
Resonant production of the first generation vector diquarks at the CERN Large
Hadron Collider (LHC) is investigated. It is shown that the LHC will be able to
discover vector diquarks with masses up to 9 TeV for quark-diquark-quark
coupling alpha_(D)=0.1 and 4 TeV for alpha_(D)=5x10^(-4).Comment: 9 pages, 4 tables, 4 figure
Monitoring the contribution of desert dust intrusion to PM10 concentration in Northern Cyprus
Air quality in the Mediterranean basin has been affected by PM10 pollution induced by transported desert dust and local emission. The study used PM10 data from Nicosia, Kyrenia, Guzelyurt and Famagusta urban representatives, Kalecik rural background and Alevkayasi regional background. HYSPLIT model and satellite data were used to identify dust days and dust input was quantified using the method suggested by the European Commission. Anthropogenic background contribution of each site was then estimated by subtracting the regional background concentrations. A total of 35 dust days occurred on Cyprus island within the 3-years period; mostly during winter and spring. Daily PM10 concentration on dust days can reach up to 400 μg/m3. After removing dust background, annual PM10 concentrations were 48-58 μg/m3 in Nicosia, 42-47 μg/m3 in Famagusta, 40-50 μg/m3 in Kyrenia, 33-41 μg/m3 in Guzelyurt, 21-28 μg/ m3 in Alevkayasi, and 32-38 μg/m3 in Kalecik. PM10 concentrations were higher during winters in the urban sites. Despite the high frequency of dust events, only a fraction of exceedances of the standard limit in the urban sites were attributable to dust. Anthropogenic background sources contributions were 12.3 μg/m3 in Guzelyurt, 18 μg/m3 in Kyrenia, 18.4 μg/m3 in Famagusta, 27.8 μg/m3 in Nicosia and 9.7 μg/m3 in Kalecik. Effects of other natural sources that the study did not assess, such as sea salt and local soil resuspension,could be the reason for exceedance
Image feature extraction using 2D mel-cepstrum
In this paper, a feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. Feature matrices resulting from the 2D mel-cepstrum, Fourier LDA approach and original image matrices are individually applied to the Common Matrix Approach (CMA) based face recognition system. For each of these feature extraction methods, recognition rates are obtained in the AR face database, ORL database and Yale database. Experimental results indicate that recognition rates obtained by the 2D mel-cepstrum method is superior to the recognition rates obtained using Fourier LDA approach and raw image matrices. This indicates that 2D mel-cepstral analysis can be used in image feature extraction problems. © 2010 IEEE
Mel-cepstral methods for image feature extraction
A feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. The concept of one-dimensional (1D) mel-cepstrum which is widely used in speech recognition is extended to 2D in this article. Feature matrices resulting from the 2D mel-cepstrum, Fourier LDA, 2D PCA and original image matrices are converted to feature vectors and individually applied to a Support Vector Machine (SVM) classification engine for comparison. The AR face database, ORL database, Yale database and FRGC version 2 database are used in experimental studies, which indicate that recognition rates obtained by the 2D mel-cepstrum method is superior to the recognition rates obtained using Fourier LDA, 2D PCA and ordinary image matrix based face recognition. This indicates that 2D mel-cepstral analysis can be used in image feature extraction problems. © 2010 IEEE
High efficiency indirect shoot regeneration and hypericin content in embryogenic callus of Hypericum triquetrifolium Turra
A method to induce indirect regeneration from Hypericum triquetrifolium Turra was described in the present study. Callus was induced from cotyledon explants of 35 days old aseptic seedlings on semisolid MS supplemented with IAA (0.5 mg.L-1) combined with BAP (2 mg.L-1). Meristemoids developed on the surface of callus by decreasing of the cytokinins and plantlet regeneration with 100% frequency through these embryogenic calli occured in semi-solid medium when the PGRs were removed completely. Embryogenic calli obtained during the experiments were analyzed for their hypericin content. And they were found to produce hypericin as 48 ìg/g DM. Regenerated plantlets were rooted in MS containing 1 mg/L IAA. The highest percentages (94%) of survival of transferred plantlets to freeliving circumstances were limited when they were acclimatized in sand : peat : perlite (1:1:1; v/v/v) mixture
Mel-cepstral feature extraction methods for image representation
An image feature extraction method based on the twodimensional (2-D) mel cepstrum is introduced. The concept of onedimensional mel cepstrum, which is widely used in speech recognition, is extended to 2-D in this article. The feature matrix resulting from the 2-D mel-cepstral analysis are applied to the support-vector-machine classifier with multi-class support to test the performance of the mel-cepstrum feature matrix. The AR, ORL, and Yale face databases are used in experimental studies, which indicate that recognition rates obtained by the 2-D mel-cepstrum method are superior to the recognition rates obtained using 2-D principal-component analysis and ordinary image-matrixbased face recognition. Experimental results show that 2-D mel-cepstral analysis can also be used in other image feature extraction problems. © 2010 SPIE
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