Search results for "GiST"

Invariant Feature Matching for Image Registration Application Based on New Dissimilarity of Spatial Features

2016

An invariant feature matching method is proposed as a spatially invariant feature matching approach. Deformation effects, such as affine and homography, change the local information within the image and can result in ambiguous local information pertaining to image points. New method based on dissimilarity values, which measures the dissimilarity of the features through the path based on Eigenvector properties, is proposed. Evidence shows that existing matching techniques using similarity metrics--such as normalized cross-correlation, squared sum of intensity differences and correlation coefficient--are insufficient for achieving adequate results under different image deformations. Thus, new…

Predictors of scaffold failure and impact of optimized scaffold implantation technique on outcome: Results from the German-Austrian ABSORB RegIstRy.

2021

Aims We aimed to investigate predictors of scaffold failure and the potential impact of an optimized scaffold implantation technique by means of a learning curve on long-term clinical outcome after bioresorbable scaffold (BRS) implantation and to evaluate predictors of scaffold failure. Methods and results A total of 3326 patients were included in this prospective, observational, multi-center study (ClinicalTrials.gov NCT02066623) of consecutive patients undergoing BRS implantation between November 2013 and January 2016. The 3144 patients completed follow-up after 24 months, 3265 patients were eligible for time-to-event-analysis. Clinical endpoints were major adverse cardiac events-a compos…

MODEL DAN PELUANG TERJADINYA HUJAN BERDASARKAN KELEMBABAN MENGGUNAKAN REGRESI LOGISTIK BINER DI KABUPATEN MANOKWARI

2020

Manokwari Regrency has a tropical climate. This results in significant rainfall. One factor that stimulates rain is humidity. By using binary logistic regression, the model an chance of rainfall based on humidity can be determined. Logistic regression analysis is used to determine the relationship between categorical  scale response variables and numeric or categoric scale explanatory variables. If response variable used is nominal scale with  two possoble value (0 and 1), then it is called binary logistic regression. Estimation of the model  is done by logit  transformation. The model produce in this  study is g(x) = -23.443 + 0.289  humidity. The accuracy of the model is 70.4 percent and …

Registration of arbitrary multi-view 3D acquisitions

2013

International audience; To register 3D meshes representing smooth surfaces we track the 3D digitization system using photogrammetric techniques and calibrations. We present an example by digitizing a 800 mm x 600 mm portion of a car door. To increase the tracking accuracy the 3D scanner is placed in a cubic frame of side 0.5 m covered with 78 targets. The target frame moves in a volume that is approximately 1100 mm x 850 mm x 900 mm, to digitize the area of interest. Using four cameras this target frame is tracked with of an accuracy of 0.03 mm spatially and 0.180 mrad angularly. A registration accuracy between 0.1 mm and 2 mm is reached. This method can be used for the registration of mesh…

The apparent losses due to metering errors: a proactive approach to predict losses and schedule maintenance

2014

The effects of water meter age and private tanks on the apparent losses due to metering errors were evaluated by experimental and theoretical analyses. A monitoring campaign on a small district metered area (DMA) was carried out to determine the causes of apparent losses and implement a numerical model. Metering errors are affected by the flow rate passing through the meter, which is dependent on the network pressure and water level of the private tank. A node model that reproduces the effect of private tanks was coupled with EPANET and was applied to the DMA. The proposed modelling approach was used to identify where apparent losses are higher and to schedule maintenance. The model predict…

Dissemination protocol for Heterogeneous Cooperative Vehicular Networks

2012

International audience; The difficulties associated with network connectivity, unreliable channels, and city environment characteristics make data dissemination task in vehicular urban networks a real challenge. Recently, some interesting solutions have been proposed to perform data dissemination in this environment. Starting from the analysis of these solutions, we present a new dissemination protocol named DHVN (Dissemination protocol for Heterogeneous Cooperative Vehicular Networks) that considers: (i) roads topology, (ii) network connectivity and possible partitioning in case of low traffic density, and (iii) heterogeneous communication capabilities of the vehicles. We compare our proto…

On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines

2020

Tsetlin machines (TMs) are a promising approach to machine learning that uses Tsetlin Automata to produce patterns in propositional logic, leading to binary (hard) classifications. In many applications, however, one needs to know the confidence of classifications, e.g. to facilitate risk management. In this paper, we propose a novel scheme for measuring TM confidence based on the logistic function, calculated from the propositional logic patterns that match the input. We then use this scheme to trade off precision against recall, producing area under receiver operating characteristic curves (AUC) for TMs. Empirically, using four real-world datasets, we show that AUC is a more sensitive meas…

II Scientific meeting of the Italian Ascidiologists, 30 june-1 july 2008, Department of Animal Biology, University of Palermo.

2008

Estudio comparativo de dos metodologías aplicadas para la comprensión de la música contemporánea en la educación secundaria obligatoria

2016

In this paper we try to discover which methodology is more appropriate for the comprehension of the contemporary music in the Secondary Education. For that purpose by a quasi-experiment, mixed, qualitative and quantitative, the preserved results through the application of two different methodologies have been compared: a traditional one base on the masterly class and another based in different kinds of audition. The obtained results after the didactical application on the quantitative level weren´t significant, however, on the qualitative level we could also observe that the pupils who subjected to that methodology had more advantageous results regarding to the comprehension of the contempo…

Associations between Finnish 9th grade students' school perceptions, health behaviors, and family factors

2012

PurposeThe aim of this study was to examine the associations between students' perceptions of the psychosocial school environment, health‐compromising behaviours, and selected family factors. The analyses were based on data provided for the Health Behaviour in School‐aged Children Study (2006).Design/methodology/approachThe data were obtained from 1,670 Finnish 9th graders. Logistic regression analysis was performed to identify the associations between school perceptions, health‐compromising behaviours, and selected family factors.FindingsEducational aspiration was found to be the most influential factor connected to health‐compromising behaviour among both genders, favouring students who w…