BazTech - Yadda

1

Determination of the linear correlation coefficient between Young’s modulus and the compressive strength in fibre-reinforced concrete based on experimental studies

Czajkowska Agnieszka, Raczkiewicz Wioletta, Ingaldi Manuela

Production Engineering Archives

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2023

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Vol. 29, Iss. 3

298-297

EN

The test procedures for determining Young's modulus in concrete are complicated and time-consuming. Therefore, attempts to search for alternative methods of its determination are not surprising. The relationship between the value of compressive strength and Young's modulus in concrete is known. However, the strength of this relationship in fibre-reinforced concrete has not been exactly described. The article attempts to investigate the strength of the correlation between Young’s modulus and the compressive strength of fibre-reinforced concrete. The influence of the amount of fibres on this relationship was also checked. Two types of specimen were used for the tests. The specimens differed in the content of steel fibres, 0.25% and 0.50%, respectively. In order to determine the correlation relationship, the method of linear regression and the coefficient of linear correlation were used. The use of the determination coefficient allowed us to examine the degree of explanation of one variable by another.

2

Comparison of linear regression method and GMDH neural network in predicting the UTC(PL) national timescale

Sobolewski Ł.

Przegląd Elektrotechniczny

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2018

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R. 94, nr 11

1--5

EN

The paper presents research results on predicting the Polish Timescale UTC(PL) by the means of GMDH-type neural network and linear regression method for data prepared in the form of time series built on the basis of [UTC - UTC(PL)] and [UTCr - UTC(PL)] deviations and values of a phase time from UTC(PL). The obtained results show comparable prediction quality by means of GMDH-type neural network with prepared procedure of predicting and linear regression method modified by the author for timescale characterized with high stability.

PL

W pracy przedstawiono wyniki badań nad prognozowaniem Polskiej Skali Czasu UTC(PL) przy zastosowaniu sieci neuronowej typu GMDH oraz metody regresji liniowej dla danych przygotowanych w formie szeregu czasowego, zbudowanego z wartości odchyleń [UTC - UTC(PL)] oraz [UTCr - UTC(PL)] oraz wartości czasu fazowego z UTC(PL). Wyniki badań pokazały porównywalną jakość prognozowania z zastosowaniem sieci neuronowej typu GMDH i opracowanej procedury prognozowania oraz zmodyfikowanej przez autora metody regresji liniowej w przypadku skali czasu charakteryzującej się dużą stabilnością.

3

New methods to determine similarity of signatures based on local extremes

Doroz R., Mitas M.

Journal of Medical Informatics & Technologies

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2008

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Vol. 12

63--67

EN

Authentication based on handwritten signature is one of the most accepted authentication systems based on biometry. In this paper a method for the automatic verification of on-line handwritten signatures using three similarity measures is described. The proposed approach, is based on extreme values and dynamic features of the signature. In investigations proposed coefficients together with the factor [R2] were connected and new signature recognition quality has been achieved.

4

Signature characteristic points determination by means of the IPAN99 algorithm

Doroz R., Widuch S.

Journal of Medical Informatics & Technologies

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2007

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Vol. 11

105--113

EN

The handwritten signature is often used for the identity confirmation. From the specialized graphic tablet, we receive the information in form of time strings. In this paper, the research results are presented which refer to the effect of applying the method of point detection of the highest curvature. Signatures are normalized by means of a DTW method, where two time strings representing the signature features are matched.

5

On-line signature recognition method based on linear regression

Para T., Porwik P., Wróbel K.

Journal of Medical Informatics & Technologies

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2007

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Vol. 11

97--104

EN

Nowadays, automatic signature verification is an active area of researches in numerous applications such as bank check verification, access restriction or special areas such as police investigations. In our researches signature was captured by Topaz SigLite T-LBK750-HSB device, where some dynamic features of signature can be also registered. In many transactions, the electronic verification of a person's identity is beneficial, hence it inspires the development of a wide range of automatic identification systems. In this paper the system that automatically authenticates documents based on the owner's handwritten signature is presented.