Search results for " PRIN"
showing 10 items of 1809 documents
Lau Effect And Binary Logic
1989
The Lau effect is applied to implement the whole set of binary logic operations optically. Our technique works with spatially incoherent light and does not require lenses or any other optical accessory.
PEM FC Single Cell Based on a 3-D Printed Plastic Housing and Experimental Validation with the Mathematical Model
2018
Abstract This paper presents the design, modelling, and testing of a PEM single fuel cell based on the use of 3D printing. The design of the housings was made of SolidWorks, while MATLAB/SIMULINK were used to model performance. The fabricated cell performed satisfactorily with no leaks of gas, showing that the 3D printing method can be used in the additive manufacturing of fuel cells thus leading to significant cost savings.
Feature extraction from remote sensing data using Kernel Orthonormalized PLS
2007
This paper presents the study of a sparse kernel-based method for non-linear feature extraction in the context of remote sensing classification and regression problems. The so-called kernel orthonormalized PLS algorithm with reduced complexity (rKOPLS) has two core parts: (i) a kernel version of OPLS (called KOPLS), and (ii) a sparse (reduced) approximation for large scale data sets, which ultimately leads to rKOPLS. The method demonstrates good capabilities in terms of expressive power of the extracted features and scalability.
Public Governance Principles in General Education School Management of Latvia
2015
In contemporary world the effect of globalisation and information technologies cause transformational processes of states` public management that promote the application of new managament approaches and principles in public institution management.The changes in the public managament have effected and still effects processes of management also in education. The increase of school autonomy, a stronger focus on the process of education and its results created the need to expand the application of contemporary public management principles also in the managament of education institutions. The main goal of the report is to analyze the principles of public management and their implementation in th…
Semisupervised Kernel Feature Extraction for Remote Sensing Image Analysis
2014
This paper presents a novel semisupervised kernel partial least squares (KPLS) algorithm for nonlinear feature extraction to tackle both land-cover classification and biophysical parameter retrieval problems. The proposed method finds projections of the original input data that align with the target variable (labels) and incorporates the wealth of unlabeled information to deal with low-sized or underrepresented data sets. The method relies on combining two kernel functions: the standard radial-basis-function kernel based on labeled information and a generative, i.e., probabilistic, kernel directly learned by clustering the data many times and at different scales across the data manifold. Th…
A family of kernel anomaly change detectors
2014
This paper introduces the nonlinear extension of the anomaly change detection algorithms in [1] based on the theory of reproducing kernels. The presented methods generalize their linear counterparts, under both the Gaussian and elliptically-contoured assumptions, and produce both improved detection accuracies and reduced false alarm rates. We study the Gaussianity of the data in Hilbert spaces with kernel dependence estimates, provide low-rank kernel versions to cope with the high computational cost of the methods, and give prescriptions about the selection of the kernel functions and their parameters. We illustrate the performance of the introduced kernel methods in both pervasive and anom…
Semi-Supervised Remote Sensing Image Classification based on Clustering and the Mean Map Kernel
2008
This paper presents a semi-supervised classifier based on the combination of the expectation-maximization (EM) algorithm for Gaussian mixture models (GMM) and the mean map kernel. The proposed method uses the most reliable samples in terms of maximum likelihood to compute a kernel function that accurately reflects the similarity between clusters in the kernel space. The proposed method improves classification accuracy in situations where the available labeled information does not properly describe the classes in the test image.
Parked Electric Vehicle’s Cabin Temperature Management Using Photovoltaic Powered Ventilation
2017
Abstract This paper presents how the electric vehicle roof integrated photovoltaic (PV) powered ventilation can be used for controlling the climate of the car. In this work, a fully-functional Renault Zoe electric car has been used to conduct experiments for PV powered ventilation. These experiments have been part of a wider research project of testing electric vehicles of the Edinburgh Napier University’s Transport Research Institute. The present work illustrates performance evaluation of electric car ventilation, when roof-mounted PV modules were used to operate DC powered fans for ventilation. It was found that the motor-fan selection for removing the warm air from cabin space is of impo…
Būtisks procesuāls pārkāpums kā pamats tiesību normas atzīšanai par neatbilstošu Latvijas Republikas Satversmei
2022
Likumdošanas process, kas vēsturiski ir bijis politiskas gribas izpausme, neierobežojot to ar tiesību normām, mūsdienu aktuālo vajadzību un cilvēka, tehnoloģiju un zinātnes attīstības kontekstā, vairs neiederas demokrātiskas tiesiskas valsts tvērumā. Labas likumdošanas princips sekmē, ka tiesību normas pieņemšanas process ne vien atbilst formālajām prasībām, bet arī veicina sabiedrības uzticību valstij un tiesībām. Tas ir racionālāks un pieņemtie lēmumi ir zinātniski pamatoti. Pētījuma mērķis ir vērtēt būtisku procesuālu pārkāpumu kā pamatu tiesību normas atzīšanai par neatbilstošu Latvijas Republikas Satversmei. Pētījuma rezultātā tiek konkretizēti kritēriji, kas ir nozīmīgi, nošķirot būti…
(Photo)electrocatalytic Versus Heterogeneous Photocatalytic Carbon Dioxide Reduction
2021
The present review summarizes some of the main results achieved in electrochemical, photocatalytic, and (photo)-electrocatalytic systems for the reduction of carbon dioxide. After a preliminary survey of the electrocatalytic and photocatalytic systems in terms of materials used, efficiencies, operating conditions, and product distribution, it is shown how the combination of the two approaches affords often higher efficiency than the single technologies and allows better control of the product distribution. In fact, the peculiar energetic distribution at the interface of irradiated semiconductors under opportune electrical bias enables enhancement of the spatial separation of the photogenera…