Search results for "means"

District metered area design through multicriteria and multiobjective optimization

2022

[EN] The design of district metered areas (DMA) in potable water supply systems is of paramount importance for water utilities to properly manage their systems. Concomitant to their main objective, namely, to deliver quality water to consumers, the benefits include leakage reduction and prompt reaction in cases of natural or malicious contamination events. Given the structure of a water distribution network (WDN), graph theory is the basis for DMA design, and clustering algorithms can be applied to perform the partitioning. However, such sectorization entails a number of network modifications (installing cut-off valves and metering and control devices) involving costs and operation changes,…

Non Linear Image Restoration in Spatial Domain

2011

International audience; In the present work, a novel image restoration method from noisy data samples is presented. The restoration was per-formed by using some heuristic approach utilizing data samples and smoothness criteria in spatial domain. Unlike most existing techniques, this approach does not require prior modelling of either the image or noise statistics. The proposed method works in an interactive mode to find the best compromise between the data (mean square error) and the smoothing criteria. The method has been compared with the shrinkage approach, Wiener filter and Non Local Means algorithm as well. Experimental results showed that the proposed method gives better signal to noi…

Patch-Based Image Denoising Model for Mixed Gaussian Impulse Noise Using L1 Norm

2017

Image denoising is the classes of technique used to free the image form the noise. The noise in the image may be added during the observation process due to the improper setting of the camera lance, low-resolution camera, cheap, and low-quality sensors, etc. Noise in the image may also be added during the image restoration, image transmission through the transmission media. To obtain required information from image, image must be noise free, i.e., high-frequency details must be present in the image. There are number of applications where image denoising is needed such as remote location detection, computer vision, computer graphics, video surveillance, etc. In last two decades, numbers of m…

Mutations in Romanian Agriculture after De-Collectivization and Privatization

2013

Abstract This paper aims at presenting mutations in agriculture occurred in the process of collectivization and privatization of it. In this paper we analyze the period 1990-2010 following: the dynamics of the use of the land by ownership, the dynamic structure of the value of agricultural production, the dynamic structure of the value of agricultural production and development park tractors and machinery on-farm ownership. In the analyzed period is shown that mutations that occurred in the ownership of the land and other means of production and the system of relations between agriculture and other sectors of the economy have influenced the evolution of the structure of agricultural product…

Viaggi nell’immaginario: il turismo virtuale nel sito UNESCO di Tarragona

2023

Le nuove tecnologie hanno trasformato in modo radicale non solo la geografia come disciplina, ma anche le geografie del mondo. Il digitale ha assunto, infatti, un ruolo di mediazione sempre più pervasivo nella produzione dello spazio, come delle conoscenze e degli immaginari geografici. Le possibilità offerte dal virtuale, in particolare, offrono oggi un contributo decisivo nella comunicazione dei significati attribuiti ai luoghi e rispondono in modo sempre più efficace ai bisogni emergenti del settore turistico. Le esperienze di visita mediate dal digitale mirano a coinvolgere i sensi e risultano efficaci quando promuovono immersioni rigorosamente realistiche. Nel quadro di queste riflessi…

A Novel Technique for Fingerprint Classification based on Fuzzy C-Means and Naive Bayes Classifier

2014

Fingerprint classification is a key issue in automatic fingerprint identification systems. One of the main goals is to reduce the item search time within the fingerprint database without affecting the accuracy rate. In this paper, a novel technique, based on topological information, for efficient fingerprint classification is described. The proposed system is composed of two independent modules: the former module, based on Fuzzy C-Means, extracts the best set of training images, the latter module, based on Fuzzy C-Means and Naive Bayes classifier, assigns a class to each processed fingerprint using only directional image information. The proposed approach does not require any image enhancem…

Combined Elephant Herding Optimization Algorithm with K-means for Data Clustering

2018

Clustering is an important task in machine learning and data mining. Due to various applications that use clustering, numerous clustering methods were proposed. One well-known, simple, and widely used clustering algorithm is k-means. The main problem of this algorithm is its tendency of getting trapped into local minimum because it does not have any kind of global search. Clustering is a hard optimization problem, and swarm intelligence stochastic optimization algorithms are proved to be successful for such tasks. In this paper, we propose recent swarm intelligence elephant herding optimization algorithm for data clustering. Local search of the elephant herding optimization algorithm was im…

A hybrid algorithm for planning public charging stations

2014

International audience; Green mobility solutions are receiving currently an enormous attention. Indeed, during last years, electric vehicles, being part of the field of the smart-grid, entered the automobile market of the whole world. This technology requires an effective deployment of charging stations of electric refill since the main problem in this system remains over the duration of refill of the batteries. In this work, we propose an optimized algorithm to locate electric charging stations. The main task of the algorithm is to find the best site of charging stations locations so as to minimize loss on the way to the charging station, as well as minimize investment cost, we take into a…

Using anatomic and metabolic imaging in stereotactic radio neuro-surgery treatments

2016

Kansainvälisten koulutusarvioiden vertailu koulutuksellisen tiedonlouhinnan keinoin

2016

Koulutusta ja eri ikäisten lasten akateemista suorituskykyä mittaavat tutkimustulokset ovat kiinnostavaa tarkasteltavaa monien alojen työntekijöille ja tutkijoille. Nykyään monet organisaatiot, kuten OECD (Organisation for Economic Co-operation and Development) ja IEA (International Association for the Evaluation of Educational Achievement), järjestävät tietyin aikavälein kansainvälisiä mittauksia, joissa mitataan tietyn ikäisten lasten akateemisia kykyjä ja kysellään heidän elämästään koulussa ja kotona. Näistä mittauksista syntyvät tietokannat ovat suuria ja ne tarjoavat monipuolista tietoa koulutuksesta ja lasten oppimiseen vaikuttavista tekijöistä. Kaiken tämän lisäksi, nämä tietokannat…