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Wyświetlanie 1-15 z 24
Tytuł:
Similarity analysis of dynamic temperature measurements
Autorzy:
Cui, Zhiwen
Li, Wenjun
Yu, Sisi
Jin, Minjun
Powiązania:
https://bibliotekanauki.pl/articles/2106420.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
dynamic temperature
temperature time series
similarity measure
distance measurement
Opis:
Different temperature sensors show different measurement values when excited by the same dynamic temperature source. Therefore, a method is needed to determine the difference between dynamic temperature measurements. This paper proposes a novelty approach to treating dynamic temperature measurements over a period of time as a temperature time series, and derives the formula for the distance between the measurement values using uniform sampling within the time series analysis. The similarity is defined in terms of distance to measure the difference. The distance measures were studied on the analog measurement datasets. The results show that the discrete Fréchet distance has stronger robustness and higher sensitivity. The two methods have also been applied to an experimental dataset. The experimental results also confirm that the discrete Fréchet distance performs better.
Źródło:
Metrology and Measurement Systems; 2022, 29, 2; 283--300
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hydraulic model based method for leaks location in urban water distribution network
Autorzy:
Tomasik, P.
Powiązania:
https://bibliotekanauki.pl/articles/329508.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
urban water distribution network
epanet model
similarity measure
hydraulic model
Opis:
The paper describes the use one of the methods for locating leaks based on an accurate model of the network. The paper presents the results of this approach for the active experiment which was carried out on the water supply. The experiment consisted of releasing water with the varying intensity of the fire hydrants located on the test area. Based on the readings of flow meters located in the district, the aim was to identify pre-defined areas in which the simulated leaks occurred. The results are summarized in conclusions.
Źródło:
Diagnostyka; 2012, 1(61); 45-50
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy similarity measure based on fuzzy sets
Autorzy:
Hesamian, G.
Powiązania:
https://bibliotekanauki.pl/articles/206878.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
approximate reasoning system
fuzzy similarity measure
ranking method
pattern recognition
Opis:
This paper extends the notion of fuzzy similarity measure between fuzzy sets. A definite class of fuzzy similarity measures between fuzzy sets is also introduced. Using some theorems and examples, it is shown that the introduced extended similarity measures satisfy many common and desired properties, based on the common axiomatic definitions, introduced for fuzzy similarity measures. Some illustrative and practical examples from the areas of pattern recognition and approximate reasoning systems are provided in order to present the possible applications of the proposed fuzzy similarity measures.
Źródło:
Control and Cybernetics; 2017, 46, 1; 71-86
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Efficient face recognition based on weighted matrix distance metrics and 2DPCA algorithm
Autorzy:
Rouabhia, C.
Tebbikh, H.
Powiązania:
https://bibliotekanauki.pl/articles/229482.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
classification
similarity measure
two-dimensional PCA
weighted matrix distance
human face
Opis:
In this paper, a new similarity measure is developed for human face recognition, namely, weighted matrix distance. The key difference between this metric and the standard distances is the use of matrices and weights rather than the vectors only. The two feature matrices are obtained by two-dimensional principal component analysis (2DPCA). The weights are the inverse of the eigenvalues sorted in decreasing order of the covariance matrix of all training face matrices. Experiments are performed under illumination and facial expression variations using four face image databases: ORL, Yale, PF01 and a subset of FERET. The results demonstrate the effectiveness of the proposed weighted matrix distances in 2DPCA face recognition over the standard matrix distance metrics: Yang, Frobenius and assembled matrix distance (AMD).
Źródło:
Archives of Control Sciences; 2011, 21, 2; 207-221
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zastosowanie modeli dokładnych sieci do detekcji i lokalizacji wycieków
Applications of accurate models of water supply system for detection and localization of leaks
Autorzy:
Tomasik, P.
Powiązania:
https://bibliotekanauki.pl/articles/257426.pdf
Data publikacji:
2011
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Technologii Eksploatacji - Państwowy Instytut Badawczy
Tematy:
odległość euklidesowa
miara podobieństwa
model epanet
Euclidean distance
similarity measure
epanet model
Opis:
W referacie opisano metodę wykorzystującą dokładne modele sieci wodociągowej do detekcji i lokalizacji wycieków. Metoda ta bazuje na prostej mierze podobieństwa pomiędzy rzeczywistymi i modelowymi danymi o przepływach w sieci wodociągowej.
The paper describes a method of using accurate models of the water supply system for detecting and locating leaks. This method is based on a simple measure of similarity between real and simulated data on water flows in the water supply.
Źródło:
Problemy Eksploatacji; 2011, 2; 223-230
1232-9312
Pojawia się w:
Problemy Eksploatacji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
New signature similarity measure based on average differences
Autorzy:
Wróbel, K.
Doroz, R.
Powiązania:
https://bibliotekanauki.pl/articles/332878.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
rozpoznawanie podpisu
podobieństwo miary
średnia różnic
signature recognition
similarity measure
average differences
Opis:
This paper presents a new method of recognizing handwritten signatures. Signature was treated as a collection of features of specific values. As features the values of x, y coordinates of signature points and the pressure p in its consecutive points have been used. Additionally, before comparing them, the signatures were properly prepared. The method discussed in the paper is a modification of the method based on average differences. This modification consists in dividing signatures into windows of the preset size and measuring the value of similarity between the windows according to their position in the signature. The paper shows the construction of a new similarity measure taking into consideration the modifications introduced and the results of the research obtained by means of this similarity measure.
Źródło:
Journal of Medical Informatics & Technologies; 2008, 12; 51-56
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mutual information based registration of brain images
Autorzy:
Kuczyński, K.
Mikołajczak, P.
Powiązania:
https://bibliotekanauki.pl/articles/332963.pdf
Data publikacji:
2002
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
rejestracja obrazu
wzajemne informowanie
podobieństwo pomiaru
image registration
mutual information
similarity measure
Opis:
Registration is one of the essential medical image processing techniques. The goal is to find a geometric transformation, that relates corresponding voxels in two different 3D images of the same object. The publication presents a registration technique based on maximization of mutual information.
Źródło:
Journal of Medical Informatics & Technologies; 2002, 3; MI213-219
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Method for identification of fragments of lip prints images on the basis of the generalized hough transform
Autorzy:
Wrobel, K.
Doroz, R.
Powiązania:
https://bibliotekanauki.pl/articles/333845.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
lip print recognition
Generalized Hough Transform
similarity measure
ozpoznawanie wydruku warg
podobieństwo miary
Opis:
The paper presents a new method for identification of fragments of lip print images on the basis of the Generalized Hough Transform (GHT). The effectiveness of this method was verified in practice. The maximum value obtained from the accumulator array after the Hough transform has been assumed as the measure of similarity between a lip print image and a reference object. The advantage of this method is the possibility of use in forensic science to identify persons who left lip prints at crime scenes.
Źródło:
Journal of Medical Informatics & Technologies; 2013, 22; 189-193
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Content-based image retrieval using a signature graph and a self-organizing map
Autorzy:
Van, T. T.
Le, T. M.
Powiązania:
https://bibliotekanauki.pl/articles/330159.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
binary signature
similarity measure
signature graph
image retrieval
sygnatura binarna
miara podobieństwa
wyszukiwanie obrazu
Opis:
In order to effectively retrieve a large database of images, a method of creating an image retrieval system CBIR (content-based image retrieval) is applied based on a binary index which aims to describe features of an image object of interest. This index is called the binary signature and builds input data for the problem of matching similar images. To extract the object of interest, we propose an image segmentation method on the basis of low-level visual features including the color and texture of the image. These features are extracted at each block of the image by the discrete wavelet frame transform and the appropriate color space. On the basis of a segmented image, we create a binary signature to describe the location, color and shape of the objects of interest. In order to match similar images, we provide a similarity measure between the images based on binary signatures. Then, we present a CBIR model which combines a signature graph and a self-organizing map to cluster and store similar images. To illustrate the proposed method, experiments on image databases are reported, including COREL, Wang and MSRDI.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2016, 26, 2; 423-438
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparative investigations of similarity measure exploited in medical images preselection
Autorzy:
Wróbel, K.
Porwik, P.
Powiązania:
https://bibliotekanauki.pl/articles/333071.pdf
Data publikacji:
2004
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
podobieństwo pomiaru
obraz medyczny
transformacja Hougha
transformacja Fouriera
similarity measure
medical image
Hough transformation
Fourier transformation
Opis:
Nowadays, the most significant impact of digital image processing in the area of applications are real–world problems. Many new technological trends in medicine and digital processing have been implemented. Several factors indicate such development. A major one is the perpetually declining cost of the computer equipment required. Both processing unit and capacity of storage devices continue to become less expensive year by year. Another factor is the increasing availability of equipment for digitising and displaying images. In modern image processing, images have to be compared each other because such approach allows us to automate of retrieval process. Computer image retrieving is today especially important in medical diagnostics [1,7] or in preliminary images selection [8,9]. Today, in the digital image processing are used techniques and methods which have well known mathematical backgrounds. It can be observed, that in the area of digital signal processing, the Hough and well known the Fourier transform are exploited very often. These transforms are frequently use in image retrieving and can be implemented as computer applications. In many cases the mentioned methods give promising results in images classification or preselection [1,2,4,5,11]. Special properties of such transforms can be used in statistical or comparative goals, especially when searched information has graphic form. Taking into account the mentioned applications, transforms as methods of preliminary medical images selection have been investigated. From this reason pictures, analysing in the paper, to medical images have been limited.
Źródło:
Journal of Medical Informatics & Technologies; 2004, 8; II25-31
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automatic alignment of intramodal tomographic data using s-distance approach
Autorzy:
Król, Z.
Powiązania:
https://bibliotekanauki.pl/articles/334027.pdf
Data publikacji:
2003
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
rejestracja
podobieństwo pomiaru
topografia obszaru przeszukiwania
registration
similarity measure
s-distance
cross-metric
intramodality data
search space topography
Opis:
The alignment of volumetric datasets is an important problem in the processing of medical data. It is a prerequisite to numerous image based applications in diagnostic and therapeutic routines. In this paper, a new method is proposed for matching of 3D intramodality medical images. Our approach is based on some generalization of feature distance definition. Analogous to the standard surface matching, our algorithm uses also the chamfer distance like metric to define the quality of match function, however, the evaluation of the distance map is performed in a different way. The s-distance method is a step towards an automatic extraction of features, where each feature’s role in the registration process is weighted based on its relative statistical or spatial significance. As an alternative to the user-dependent non-automatic registration methods this approach offers a good assessment of similarity in the intramodality case. The elimination of less significant features in the registration process has resulted in a greatly improved efficiency over the voxel-based methods. Studying certain properties of the search space topography provides some insights into the performance of the proposed method as well as the standard registration algorithms in the rigid body registration problem.
Źródło:
Journal of Medical Informatics & Technologies; 2003, 6; IT3-11
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy similarity and fuzzy inclusion measures in polyline matching : a case study of potential streams identification for archaeological modelling in GIS
Autorzy:
Ďuračiová, R.
Rášová, A.
Lieskovský, T.
Powiązania:
https://bibliotekanauki.pl/articles/106895.pdf
Data publikacji:
2017
Wydawca:
Politechnika Warszawska. Wydział Geodezji i Kartografii
Tematy:
spatial data uncertainty
similarity measure
fuzzy inclusion
spatial object matching
identity determination
niepewność danych przestrzennych
miara podobieństwa
dopasowanie obiektów przestrzennych
określenie tożsamości
Opis:
When combining spatial data from various sources, it is often important to determine similarity or identity of spatial objects. Besides the differences in geometry, representations of spatial objects are inevitably more or less uncertain. Fuzzy set theory can be used to address both modelling of the spatial objects uncertainty and determining the identity, similarity, and inclusion of two sets as fuzzy identity, fuzzy similarity, and fuzzy inclusion. In this paper, we propose to use fuzzy measures to determine the similarity or identity of two uncertain spatial object representations in geographic information systems. Labelling the spatial objects by the degree of their similarity or inclusion measure makes the process of their identification more efficient. It reduces the need for a manual control. This leads to a more simple process of spatial datasets update from external data sources. We use this approach to get an accurate and correct representation of historical streams, which is derived from contemporary digital elevation model, i.e. we identify the segments that are similar to the streams depicted on historical maps.
Źródło:
Reports on Geodesy and Geoinformatics; 2017, 104; 115-130
2391-8365
2391-8152
Pojawia się w:
Reports on Geodesy and Geoinformatics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A chi assomiglia Elena Ferrante? Un profilo stilometrico aggiornato
Who Does Elena Ferrante Look Like? A Revised Stylometric Identikit
Autorzy:
Cortelazzo, Michele A.
Tuzzi, Arjuna
Powiązania:
https://bibliotekanauki.pl/articles/446396.pdf
Data publikacji:
2020-07-31
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
Elena Ferrante
contemporary Italian literature
authorship attribution
similarity measure
text clustering
letteratura italiana contemporanea
attribuzione d’autore
misure di
similarità
classificazione dei testi
Opis:
Based on a corpus including 150 novels by 40 authors, a stylometric survey was conducted to assess which modern authors were similar to Elena Ferrante, the pen name used for eight novels, including "My Brilliant Friend" (Tuzzi & Cortelazzo 2018a and 2018b). The survey proved that Elena Ferrante’s writing style is remarkably different from that of the other main contemporary Italian novelists with the notable exception of Domenico Starnone. Follow-up studies (Cortelazzo, Mikros & Tuzzi 2018 and another under way) show that non-fiction works signed by Elena Ferrante may be attributed to different authors, i.e., Anita Raja, Starnone again, and a collective author including the staff of the E/O publishing house. This study complements the results obtained by previous research by assessing Elena Ferrante’s role in modern Italian fiction following the publication of her latest novel, "The Lying Life of Adults". In addition, the analysis of her similarities to Domenico Starnone was enhanced by means of a larger corpus of his novels, thus corroborating the outcome of previous research.
Sulla base di un corpus di 150 romanzi di 40 autori, abbiamo condotto un’indagine stilometrica, per valutare quali autori contemporanei risultassero più vicini a Elena Ferrante, pseudonimo con cui sono stati firmati otto romanzi, tra cui "l’Amica geniale" (Tuzzi & Cortelazzo 2018a e 2018b). L’indagine ha dimostrato che lo stile di scrittura di Elena Ferrante è notevolmente diverso da quello degli altri principali romanzieri italiani contemporanei, con la sola eccezione di Domenico Starnone. Studi successivi (Cortelazzo, Mikros & Tuzzi 2018 e in preparazione) hanno mostrato che, invece, le opere non letterarie firmate da Elena Ferrante possono essere attribuite ad autori diversi, tra i quali Anita Raja, di nuovo Starnone e autore collettivo costituito dallo staff della casa editrice E / O. Questo studio integra i risultati delle ricerche precedenti, aggiornando la collocazione di Elena Ferrante nel panorama contemporaneo, in seguito all’uscita del suo ultimo romanzo ("La vita bugiarda degli adulti") e affinando lo studio delle similarità con Domenico Starnone, utilizzando un corpus più ampio di opere di questo autore. Risultano rafforzati i risultati delle ricerche precedenti.
Źródło:
Italica Wratislaviensia; 2020, 11.1; 123-141
2084-4514
Pojawia się w:
Italica Wratislaviensia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An adaptive stochastic optimization method for medical registration problem
Autorzy:
Król, Z.
Powiązania:
https://bibliotekanauki.pl/articles/333559.pdf
Data publikacji:
2004
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
registration
matching
optimization
simulated annealing
similarity measure
non-deterministic methods
cooling schedule
tomographic data
rejestracja
optymalizacja
wyżarzanie
miara podobieństwa
metody niedeterministyczne
chłodzenie
dane tomograficzne
Opis:
This paper presents a methodology that addresses important issues concerned with the optimization of the misregistration measures in the volumetric medical data registration problem. Our registration framework uses robust simulated annealing method to handle multiple local minima of the cost function. Our efforts have been centred on obtaining a reliable, efficient and generally applicable method to solve such optimization problems. This has been accomplished through developing an adaptive cooling schedule for the simulated annealing method. The proposed method is very reliable for the estimation of the global minimum in the optimization of objective functions with highly differentiated search space landscapes. We present the detailed description of the method as well as discussion of its advantages and disadvantages.
Źródło:
Journal of Medical Informatics & Technologies; 2004, 7; MIP79-88
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Radar measures of structures’ conformability
Autorzy:
Binderman, Zbigniew
Borkowski, Bolesław
Szczesny, Wiesław
Powiązania:
https://bibliotekanauki.pl/articles/452756.pdf
Data publikacji:
2010
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:
radar method
radar measure of conformability
measure of similarity
synthetic measures
classification
cluster analysis
Opis:
In the following work a new method was proposed to study similarity of objects’ structures. This method is an adaptation of radar methods of objects’ ordering and cluster analysis, which are being developed by the authors. The value added by the authors is the construction of measures for conformability of structures of two objects. Those measures may also be used to define similarities between given objects. Proposed measures are independent of the order of features.
Źródło:
Metody Ilościowe w Badaniach Ekonomicznych; 2010, 11, 1; 45-59
2082-792X
Pojawia się w:
Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
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