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Abstrakt

The annual rate of decomposition in five soil types of tundra situated in the Fugleberget drainage area (Hornsund Fjord, South Spitsbergen) was investigated by use of the method of standard cellulose samples. The rate of decomposition varied from 15% to over 65% a year and was closely connected with a contents of nitrogen in soil, amount of which varied from 0.33% to 3.44%. The results presently obtained are much higher than those obtained by the same method in other polar regions.

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Autorzy i Afiliacje

Piotr Bieńkowski
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Abstrakt

Accurate kinetic parameters are vital for quantifying the effect of binder decomposition on the complex phenomena occurring during the casting process. Commercial casting simulation tools often use simplified kinetic parameters that do not comprise the complex multiple reactions and their effect on gas generation in the sand core. The present work uses experimental thermal analysis techniques such as Thermogravimetry (TG) and Differential thermal analysis (DTA) to determine the kinetic parameters via approximating the entire reaction during the decomposition by multiple first-order apparent reactions. The TG and DTA results reveal a multi-stage and exothermic decomposition process in the binder degradation. The pressure build-up in cores/molds when using the obtained multi-reaction kinetic model is compared with the earlier approach of using an average model. The results indicate that pressure in the mold/core with the multi-reaction approach is estimated to be significantly higher. These results underscore the importance of precise kinetic parameters for simulating binder decomposition in casting processes.
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Bibliografia

[1] Campbell, J. (2011). Molds and cores. Complete Casting Handbook. 1, 155-186. https://doi.org/10.1016/b978-1-85617-809-9.10004-0.

[2] Campbell, J., Svidro, J.T. & Svidro, J. (2017). Molding and casting processes. Cast Iron Science and Technology. 1, 189-206. DOI: 10.31399/asm.hb.v01a.a0006297.

[3] Diószegi, A., Elmquist, L., Orlenius, J. & Dugic, I. (2009). Defect formation of gray iron casting. Intional Journal of Metalcasting. 3(4), 49-58, DOI: 10.1007/BF03355458.

[4] Bobrowski, A., Holtzer, M., Zymankowska-Kumon, S. & Dańko, R. (2015). Harmfulness assessment of moulding sands with a geopolymer binder and a new hardener, in an aspect of the emission of substances from the BTEX group. Archives of Metallurgy and Materials. 60(1), 341-344. DOI: 10.1515/amm-2015-0056.

[5] Grabowska, B., Żymankowska-Kumon, S., Cukrowicz, S., Kaczmarska, K., Bobrowski, A. & Tyliszczak, B. (2019). Thermoanalytical tests (TG–DTG–DSC, Py-GC/MS) of foundry binders on the example of polymer composition of poly(acrylic acid)–sodium carboxymethylcellulose. Joyrnal of Thermal Analysis and Calorimetry. 138(6), 4427-4436. DOI: 10.1007/s10973-019-08883-5.

[6] Kmita, A., Benko, A., Roczniak, A. & Holtzer, M. (2020). Evaluation of pyrolysis and combustion products from foundry binders: potential hazards in metal casting. Jornal of Thermal Analysis & Calorimetgry. 140(5), 2347-2356. DOI: 10.1007/s10973-019-09031-9.

[7] Holtzer, M., Kmita, A., Roczniak, A., Benko, A. (2018). Thermal stability of a resin binder used in moulding sand technology. 73rd World Foundry Congr. "Creative Foundry", WFC 2018 - Proc. (pp. 131-132).

[8] Wan, P., Zhou, J., Li, Y., Yin, Y., Peng, X., Ji, X., & Shen, X. (2021). Kinetic analysis of resin binder for casting in combustion decomposition process. Journal of Thermal Analysis and Calorimetry. 147, 6323-6336. DOI: 10.1007/s10973-021-10902-3.

[9] Wewerka, E.M., Walters, K.L. & Moore, R.H. (1969). Differential thermal analysis of furfuryl alcohol resin binders. Carbon. 7(1), 129-141. DOI: 10.1016/0008-6223(69)90012-8.

[10] Nastac, L., Jia, S., Nastac, M.N. & Wood, R. (2016). Numerical modeling of the gas evolution in furan binder-silica sand mold castings. International Journal of Cast Metals Research. 29(4), 194-201. DOI: 10.1080/13640461.2015.1125983.

[11] Zych, J., Mocek, J., Snopkiewicz, T. & Jamrozowicz, Ł. (2015). Thermal conductivity of moulding sand with chemical binders, attempts of its increasing. Archives of Metallurgy and Materials. 60(1), 351-357. DOI: 10.1515/amm-2015-0058.

[12] Zych, J., Mocek, J. & Kaźnica, N. (2018). Kinetics of gases emission from surface layers of sand moulds. Archives of Foundry Engineering. 18(1), 222-226. DOI: 10.24425/118841.

[13] Perondi, D., Broetto, C.C., Dettmer, A., Wenzel, B.M. & Godinho, M. (2012). Thermal decomposition of polymeric resin [(C29H 24N206)n]: Kinetic parameters and mechanisms. Polymer Degradation and Stability. 97(11), 2110-2117. DOI: 10.1016/j.polymdegradstab.2012.08.022.

[14] Jomaa, G., Goblet, P., Coquelet, C. & Morlot, V. (2015). Kinetic modeling of polyurethane pyrolysis using non-isothermal thermogravimetric analysis. Thermochimica Acta. 612, 10-18. DOI: 10.1016/j.tca.2015.05.009.

[15] Kmita A. Knauer, W., Holtzer, M., Hodor, K., Piwowarski, G., Roczniak, A., & Górecki, K. (2019). The decomposition process and kinetic analysis of commercial binder based on phenol-formaldehyde resin, using in metal casting. Applied Thermal Engineering. 156, 263-275. DOI: 10.1016/j.applthermaleng.2019.03.093.

[16] Ozawa, T. (1976). A modified method for kinetic analysis of thermoanalytical data. Journal of Thermal Analysis. 9(3), 369-373. DOI: 10.1007/BF01909401.

[17] Coats, A.W. & Redfern, J.P. (1964). Kinetic parameters from thermogravimetric data. Nature. 201, 68-69. https://doi.org/10.1038/201068a0.

[18] Gröbler, A., & Kada, T. (1973). Kinetic studies of multi-step thermal degradations of copolymers or polymer mixtures. Journal of thermal analysis. 5, 407-414. DOI: 10.1007/BF01950231.

[19] Takamura, M. (2006). Application of Highly Wear-Resistant Carbon as a Material for Printing Types on Impact Printers. Waseda University.

[20] Fitzer, E., Schaefer, W. & Yamada, S. (1969). The formation of glasslike carbon by pyrolysis of polyfurfuryl alcohol and phenolic resin. Carbon. 7(6), 643-648. DOI: 10.1016/0008-6223(69)90518-1.

[21] Fitzer E. & Schäfer, W. (1970). The effect of crosslinking on the formation of glasslike carbons from thermosetting resins. Carbon. 8(3), 353-364. DOI: 10.1016/0008-6223(70)90075-8.

[22] Shinada, Y., Ota, H. & Ueda, Y. (1985). Gaz thermiquement décomposés à partir de liants organiques. Imono. 57(1), 17-22.

[23] Freeman E.S. & Carroll, B. (1958). The application of thermoanalytical techniques to reaction kinetics: the thermogravimetric evaluation of the kinetics of the decomposition of calcium oxalate monohydrate. The Journal of Physical Chemistry. 62(4), 394-397. DOI:10.1021/j150562a003.

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Autorzy i Afiliacje

Taishi Matsushita
1
ORCID: ORCID
Dinesh Sundaram
1
ORCID: ORCID
Ilja Belov
1
ORCID: ORCID
Attila Dioszegi
1
ORCID: ORCID

  1. Jönköping University, Sweden

Abstrakt

The paper presents modification of the method dedicated to a complex area decomposition of a set of logic functions whereas the

altered method is dedicated to implement the considered logic circuits within FPGA structures. The authors attempted to reach solutions where the number of configurable logic blocks and the number of structural layer would be reasonably balanced on the basis of the minimization principle. The main advantage of the procedure when the decomposition is carried out directly on the BDD diagram is the opportunity of immediate checking whether the decomposed areas of the diagram do not exceed the resources of logic blocks incorporated into the integrated circuits that are used for implementation of the logic functions involved.

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Autorzy i Afiliacje

A. Dzikowski
E. Hrynkiewicz

Abstrakt

The main goal of the considered work is to adjust mathematical modeling for mass transfer, to specific conditions resulting from presence of chemical surface reactions in the flow of the mixture consisting of helium and methanol. The thermocatalytic devices used for decomposition of organic compounds incorporate microchannels coupled at the ends and heated to 500 ◦C at the walls regions. The experiment data were compared with computational fluid dynamics results to calibrate the constants of the model’s user defined functions. These extensions allow to transform the calculations mechanisms and algorithms of commercial codes adapting them for the microflows cases and increased chemical reactions rate on the interphase between fluid and solid, specific for catalytic reactions. Results obtained on the way of numerical calculations have been calibrated and compared with the experimental data to receive satisfactory compliance. The model has been verified and the performance of the thermocatalytic reactor with microchannels under hydrogen production regime has been investigated.

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Autorzy i Afiliacje

Janusz Badur
Michał Stajnke
Paweł Ziółkowski
Paweł Jóźwik
Zbigniew Bojar
Piotr Józef Ziółkowski

Abstrakt

The occurrence of 18 species of algae was stated in the investigated region. Among them the following were predominant: Himantothallus grandifolius, Desmarestia menziesii, Cystosphaera jacqninotii, Ascoseira mirabilis. Leptosomia simplex. Adenocystis utricularis. Monostroma hariotii, Iridaei: obovata, Hildenbrandia lecunnellieri, Plocamium coccineum and Phycodrys antarctica. Vertical stratification of the distribution of three singled out communities of algae was observed downwards to the depth of 90 m, which is the limit of the occurrence of the algae in the Bay. The process of decomposition depends on the place where it occurs, the kind of the thalluses and the season of the year. The quickest decomposition of algae was observed on the shore, in the summer and spring. The total quantity of algal matter washed ashore along 15.8 km of the coast line of Admiralty Bay, during the period between February and October 1979, was estimated at 279 metric tons of dry weight matter. From this quantity, in result of decomposition of the algae on the shore, 75 tons of the matter were released during an average time of 12 days. The remaining 204 tons of partially decomposed algal matter are driven by winds farther inshore or into the waters of the Bay or remain ashore among the stony rubble.

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Autorzy i Afiliacje

Krzysztof Zieliński
ORCID: ORCID

Abstrakt

This paper presents the results of preliminary research aimed at developing a method for rapid, noncontact diagnostics of the electric drive of car seats. The method is based on the analysis of acoustic signals produced during the operation of the drive. Pattern recognition and machine learning processes were used in the diagnosis. A method of feature extraction (diagnostic symptoms) using wavelet decomposition of acoustic signals was developed. The discriminative properties of a set of diagnostic symptoms were tested using the “Classification Learner” application available in MATLAB. The obtained results confirmed the usefulness of the developed method for the technical diagnostics of car seats.
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Autorzy i Afiliacje

Cezary Bartmanski
1
Alicja Bramorska
1

  1. Department of Acoustics, Electronics and IT Solutions Central Mining Institute National Research Institute Katowice, Poland

Abstrakt

In the paper, an extended analysis of the polarization properties of a liquid crystal cell with a biconically tapered single-mode telecommunication optical fiber was presented. These properties are a result of a sample geometry and used LC materials. They were analyzed by using two theoretical models based on the matrix decomposition methods, i.e., polar and singular-value one. By measuring Mueller matrices, information about losses, depolarization, dichroism and birefringence was obtained. In the experiment two types of tested samples filled with well-known 6CHBT and E7 liquid crystals were prepared and all optical parameters were shown as the voltage dependence. The tested samples have dichroic properties and for both models calculated PDL is similar and it increases from 2.6 to 6.6 dB for E7 and from 0.4 to 2.7 dB for 6CHBT with voltage changes within the range of 40 – 190 V. Optical losses simultaneously decrease from 30 dB to 27 dB and from 36 dB to 28 dB, respectively. The birefringence properties cannot be directly comparable due to differences between both applied models but voltage fluctuations of these parameters are not significant. These results confirm expected dichroic properties of designed device and complete knowledge about its working principles. Moreover, presented analysis validates usefulness of the singular-value decomposition model applied to dichroic optical fiber elements.

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Autorzy i Afiliacje

P. Marć
K. Stasiewicz
J. Korec
L.R. Jaroszewicz
ORCID: ORCID
P. Kula

Abstrakt

Wavelet transform becomes a more and more common method of processing 3D signals. It is widely used to analyze data in various branches of science and technology (medicine, seismology, engineering, etc.). In the field of mechanical engineering wavelet transform is usually used to investigate surface micro- and nanotopography. Wavelet transform is commonly regarded as a very good tool to analyze non-stationary signals. However, to analyze periodical signals, most researchers prefer to use well-known methods such as Fourier analysis. In this paper authors make an attempt to prove that wavelet transform can be a useful method to analyze 3D signals that are approximately periodical. As an example of such signal, measurement data of cylindrical workpieces are investigated. The calculations were performed in the MATLAB environment using the Wavelet Toolbox.

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Autorzy i Afiliacje

Krzysztof Stępień
Włodzimierz Makieła

Abstrakt

The stability of positive linear continuous-time and discrete-time systems is analyzed by the use of the decomposition of the state matrices into symmetrical and antisymmetrical parts. It is shown that: 1) The state Metzler matrix of positive continuous-time linear system is Hurwitz if and only if its symmetrical part is Hurwitz; 2) The state matrix of positive linear discrete-time system is Schur if and only if its symmetrical part is Hurwitz. These results are extended to inverse matrices of the state matrices of the positive linear systems.

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Autorzy i Afiliacje

T. Kaczorek

Abstrakt

This paper presents an innovative method of technology mapping of the circuits in ALM appearing in FPGA devices by Intel. The essence of the idea is based on using triangle tables that are connected with different configurations of blocks. The innovation of the proposed method focuses on the possibility of choosing an appropriate configuration of an ALM block, which is connected with choosing an appropriate decomposition path. The effectiveness of the proposed technique of technology mapping is proved by experiments conducted on combinational and sequential circuits.

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Autorzy i Afiliacje

M. Kubica
D. Kania

Abstrakt

Subspace-based methods have been effectively used to estimate enhanced speech from noisy speech samples. In the traditional subspace approaches, a critical step is splitting of two invariant subspaces associated with signal and noise via subspace decomposition, which is often performed by singular-value decomposition or eigenvalue decomposition. However, these decomposition algorithms are highly sensitive to the presence of large corruptions, resulting in a large amount of residual noise within enhanced speech in low signal-to-noise ratio (SNR) situations. In this paper, a joint low-rank and sparse matrix decomposition (JLSMD) based subspace method is proposed for speech enhancement. In the proposed method, we firstly structure the corrupted data as a Toeplitz matrix and estimate its effective rank value for the underlying clean speech matrix. Then the subspace decomposition is performed by means of JLSMD, where the decomposed low-rank part corresponds to enhanced speech and the sparse part corresponds to noise signal, respectively. An extensive set of experiments have been carried out for both of white Gaussian noise and real-world noise. Experimental results show that the proposed method performs better than conventional methods in many types of strong noise conditions, in terms of yielding less residual noise and lower speech distortion.
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Autorzy i Afiliacje

Chengli Sun
Jianxiao Xie
Yan Leng

Abstrakt

Speech enhancement in strong noise condition is a challenging problem. Low-rank and sparse matrix decomposition (LSMD) theory has been applied to speech enhancement recently and good performance was obtained. Existing LSMD algorithms consider each frame as an individual observation. However, real-world speeches usually have a temporal structure, and their acoustic characteristics vary slowly as a function of time. In this paper, we propose a temporal continuity constrained low-rank sparse matrix decomposition (TCCLSMD) based speech enhancement method. In this method, speech separation is formulated as a TCCLSMD problem and temporal continuity constraints are imposed in the LSMD process. We develop an alternative optimisation algorithm for noisy spectrogram decomposition. By means of TCCLSMD, the recovery speech spectrogram is more consistent with the structure of the clean speech spectrogram, and it can lead to more stable and reasonable results than the existing LSMD algorithm. Experiments with various types of noises show the proposed algorithm can achieve a better performance than traditional speech enhancement algorithms, in terms of yielding less residual noise and lower speech distortion.

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Autorzy i Afiliacje

Chengli Sun
Conglin Yuan

Abstrakt

Zużycie energii pierwotnej w danym kraju jest związane z wielkością gospodarki oraz jej strukturą, obejmującą zarówno sektory przemysłowe, jak i usługowe, które charakteryzują się inną intensywnością użytkowania energii. Jednymi z podstawowych wskaźników, które mogą być wykorzystane do analizy zużycia energii pierwotnej, są m.in. wskaźnik energochłonności, produktywności oraz produkt krajowy brutto. W latach 1995–2021 gospodarka Polski rozwijała się w stosunkowo stałym tempie, a wartość produktu krajowego brutto wzrosła realnie o prawie 290% w całym okresie. Jednak pomimo tego wzrostu całkowite zużycie energii pierwotnej pozostawało na względnie stałym poziomie około 3800–4600 PJ/rok. Należy jednak podkreślić, że opisowa analiza zmian zużycia energii pierwotnej w Polsce, uwzględniająca zmiany wybranych wskaźników nie pozwala na identyfikację i ilościowe oszacowanie wpływu wszystkich kluczowych czynników na zmianę badanej wielkości w czasie. W związku z tym głównym celem badań jest zaproponowanie modelu dekompozycji zużycia energii pierwotnej w Polsce i zastosowanie go do przeprowadzenia analiz obejmujących okres transformacji gospodarczej i energetycznej, w celu ilościowego określenia wpływu zidentyfikowanych czynników na zmianę zużycia energii pierwotnej w latach 1995–2021. W celu realizacji opisanych badań wykorzystano analizę dekompozycyjną. Opracowano model dekompozycyjny, bazujący na sformułowanej tożsamości dekompozycyjnej. W celu wykonania obliczeń zastosowano formuły matematyczne dwóch metod: uogólnionej metody indeksu Fishera oraz logarytmicznej średniej indeksu Divisia. Uzyskane wyniki wskazują, że największy wpływ na zmianę zużycia energii pierwotnej w badanym okresie miały dwa efekty, tj. popytowy oraz energochłonności.
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Autorzy i Afiliacje

Przemysław Kaszyński
1
ORCID: ORCID

  1. Mineral and Energy Economy Research Institute of the Polish Academy of Sciences, Poland

Abstrakt

This paper focuses on the thermal behavior of the starch-based binder (Albertine F/1 by Hüttenes-Albertus) used in foundry technology of molding sand. The analysis of the course of decomposition of the starch material under controlled heating in the temperature range of 25-1100°C was conducted. Thermal analysis methods (TG-DTG-DSC), pyrolysis gas chromatography coupled with mass spectrometry (Py-GC/MS) and diffuse reflectance spectroscopy (DRIFT) were used. The application of various methods of thermal analysis and spectroscopic methods allows to verify the binder decomposition process in relation to conditions in the form in both inert and oxidizing atmosphere. It was confirmed that the binder decomposition is a complex multistage process. The identification of CO2 formation at set temperature range indicated the progressive process of decomposition. A qualitative evaluation of pyrolysis products was carried out and the course of structural changes occurring in the presence of oxygen was determined based on thermo-analytical investigations the temperature of the beginning of binder degradation in set condition was determined. It was noticed that, significant intensification of Albertine F/1 sample decomposition with formation of more degradation products took place at temperatures above 550ºC. Aromatic hydrocarbons were identified at 1100ºC.

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Autorzy i Afiliacje

K. Kaczmarska
S. Żymankowska-Kumon
B. Grabowska
A. Bobrowski
S. Cukrowicz
Pobierz PDF Pobierz RIS Pobierz Bibtex

Abstrakt

Very often, a digital system includes sequential blocks which can be represented using a model of the finite state machine (FSM). It is very important to improve such FSM characteristics as the number of used logic elements, operating frequency and consumed energy. The paper proposes a novel technology-dependant design method targeting LUT-based Mealy FSMs. It belongs to the group of structural decomposition methods. The method is based on encoding the product terms of Boolean functions representing the FSM circuit. To diminish the number of LUTs, a partition of the set of internal states is constructed. It leads to three-level logic circuits of Mealy FSMs. Each function from the first level requires only a single LUT to be implemented. The method of constructing the partition with the minimum amount of classes is proposed. There is given an example of FSM synthesis with the proposed method. The experiments with standard benchmarks were conducted. They show that the proposed method can improve such FSM characteristics as the number of used LUTs. This improvement is accompanied by a decrease in performance. A positive side effect of the proposed method is a reduction in power consumption compared with FSMs obtained with other design methods.
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Bibliografia

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Autorzy i Afiliacje

Alexander Barkalov
1 2
ORCID: ORCID
Larysa Titarenko
1 3
ORCID: ORCID
Małgorzata Mazurkiewicz
1
ORCID: ORCID
Kazimierz Krzywicki
4
ORCID: ORCID

  1. University of Zielona Góra, ul. Licealna 9, 65-417 Zielona Góra, Poland
  2. Vasyl’ Stus Dohetsk National University, 21, 600-richya str., Vinytsia, 21021, Ukraine
  3. Kharkiv National University of Radio Electronics, Nauky avenye, 14, 6166, Kharkiv, Ukraine
  4. The Jacob of Paradies University, ul. Teatralna 25, 66-400 Gorzów Wielkopolski, Poland
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Abstrakt

The binary classifiers are appropriate for classification problems with two class labels. For multi-class problems, decomposition techniques, like one-vs-one strategy, are used because they allow the use of binary classifiers. The ensemble selection, on the other hand, is one of the most studied topics in multiple classifier systems because a selected subset of base classifiers may perform better than the whole set of base classifiers. Thus, we propose a novel concept of the dynamic ensemble selection based on values of the score function used in the one-vs-one decomposition scheme. The proposed algorithm has been verified on a real dataset regarding the classification of cutting tools. The proposed approach is compared with the static ensemble selection method based on the integration of base classifiers in geometric space, which also uses the one-vs-one decomposition scheme. In addition, other base classification algorithms are used to compare results in the conducted experiments. The obtained results demonstrate the effectiveness of our approach.

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Bibliografia

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  5.  R.M. Cruz, R. Sabourin, and G.D. Cavalcanti, “Dynamic classifier selection: Recent advances and perspectives”, Inf. Fusion 41, 195–216 (2018).
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  7.  Y. Bian, Y. Wang, Y. Yao, and H. Chen, “Ensemble pruning based on objection maximization with a general distributed framework”, IEEE Trans. Neural Netw. Learn. Syst. 31(9), 3766‒3774 (2020).
  8.  R.M. Cruz, D.V. Oliveira, G.D. Cavalcanti, and R. Sabourin, “Fire-des++: Enhanced online pruning of base classifiers for dynamic ensemble selection”, Pattern Recognit. 85, 149–160 (2019).
  9.  T.T. Nguyen, A.V. Luong, M.T. Dang, A.W.-C. Liew, and J. McCall, “Ensemble selection based on classifier prediction confidence”, Pattern Recognit. 100, 107104 (2020).
  10.  Z.-L. Zhang, X.-G. Luo, S. García, J.-F. Tang, and F. Herrera, “Exploring the effectiveness of dynamic ensemble selection in the one- versus-one scheme”, Knowledge-Based Syst. 125, 53–63 (2017).
  11.  M. Galar, A. Fernández, E. Barrenechea, H. Bustince, and F. Herrera, “Dynamic classifier selection for one-vs-one strategy: avoiding non-competent classifiers”, Pattern Recognit. 46(12), 3412–3424 (2013).
  12.  M. Pawlicki, A. Giełczyk, R. Kozik, and M. Choraś, “Faultprone software classes recognition via artificial neural network with granular dataset balancing”, in International Conference on Computer Recognition Systems 2019, Springer, 2019, pp. 130–140.
  13.  D. Rajeev, D. Dinakaran, and S. Singh, “Artificial neural network based tool wear estimation on dry hard turning processes of aisi4140 steel using coated carbide tool”, Bull. Pol. Ac.: Tech. 65(4), 553–559 (2017).
  14.  D. Więcek, A. Burduk, and I. Kuric, “The use of ann in improving efficiency and ensuring the stability of the copper ore mining process”, Acta Montanistica Slovaca 24(1), 1‒14 (2019).
  15.  P. Raja, R. Malayalamurthim, and M. Sakthivel, “Experimental investigation of cryogenically treated hss tool in turning on aisi1045 using fuzzy logic–taguchi approach”, Bull. Pol. Ac.: Tech. 67(4), 687–696 (2019).
  16.  T. Andrysiak and L. Saganowski, “Anomaly detection for smart lighting infrastructure with the use of time series analysis”, J. UCS 26(4), 508–527 (2020).
  17.  A. Burduk, K. Musiał, J. Kochańska, D. Górnicka, and A. Stetsenko, “Tabu search and genetic algorithm for production process scheduling problem”, LogForum 15, 181–189 (2019.
  18.  M. Choraś, M. Pawlicki, D. Puchalski, and R. Kozik, “Machine learning–the results are not the only thing that matters! what about security, explainability and fairness?”, in International Conference on Computational Science, Springer, 2020, pp. 615–628.
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  24.  C. Tan and S. Ranjit, “An expert carbide cutting tools selection system for cnc lathe machine”, Int. Rev. Mech. Eng. 6(7), 1402–1405 (2012).
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  26.  P. Heda, I. Rojek, and R. Burduk, “Dynamic ensemble selection – application to classification of cutting tools”, in International Conference on Computer Information Systems and Industrial Management LNCS(12133), Springer, 2020, pp. 345–354.
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Autorzy i Afiliacje

Izabela Rojek
1
ORCID: ORCID
Robert Burduk
2
ORCID: ORCID
Paulina Heda
2

  1. Institute of Computer Science, Kazimierz Wielki University, ul. Chodkiewicza 30, 85-064 Bydgoszcz, Poland
  2. Faculty of Electronic, Wroclaw University of Science and Technology, ul. Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland

Abstrakt

To reduce the random error of microelectromechanical system (MEMS) gyroscope, a hybrid method combining improved empirical mode decomposition (EMD) and least squares algorithm (LS) is proposed. Firstly, based on the multiple screening mechanism, intrinsic mode functions (IMFs) from the first decomposition are divided into noise IMFs, strong noise mixed IMFs, weak noise mixed IMFs and signal IMFs. Secondly, according to their characteristics, they are processed again. IMFs from the second decomposition are divided into noise IMFs and signal IMFs. Finally, useful signal is gathered to obtain the final denoising signal. Compared with some other denoising methods proposed in recent years, the experimental results show that the proposed method has obvious advantages in suppressing random error, greatly improving the signal quality and improving the accuracy of inertial navigation.
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Autorzy i Afiliacje

Hailong Rong
1
Tianlei Jin
1
Hao Wang
1
Xiaohui Wu
1
Ling Zou
1

  1. Changzhou University, Changzhou 213164, China

Abstrakt

Changes in chemical composition of the surface waters percolated through the soil and running off from the penguin rookeries are described. It was found, that the chemical composition of waters flowing from the breeding places depends on the size and rate of precipitation, and also on the location of rookeries. The longer and more complicated is the run off route of waters from the terrain of rookery, the more diluted are the solutions that reach the sea. In such case a significant part of phosphorus contained in the fecal materials may be retained on land, while most of ammonia volatilizates into the atmosphere.

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Autorzy i Afiliacje

Andrzej Tatur
Andrzej Myrcha

Abstrakt

Using appropriate signal processing tools to analyze time series data accurately is essential for correctly interpreting the underlying processes. Commonly employed methods include kernel-based transforms that utilize base functions and modifications to depict time series data. This paper refers to the analysis of audio data using two such transforms: the Fourier transform and the wavelet transform, both based on assumptions regarding the signal's linearity and stationarity. However, in audio engineering, these assumptions often do not hold as the statistical characteristics of most audio signals vary over time, making them unsuitable for treatment as outputs from a Linear Time-Invariant (LTI) system. Consequently, more recent methods have shifted towards breaking down signals into various modes in an adaptive, data-specific manner, potentially offering benefits over traditional kernel-based methods. Techniques like empirical mode decomposition and Holo-Hilbert Spectral Analysis are examples of this. The effectiveness of these methods was tested through simulations using speech signals for both kernel-based and adaptive decomposition methods, demonstrating that these adaptive methods are effective for analyzing audio data that is both nonstationary and an output of the nonlinear system.
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Autorzy i Afiliacje

Marcin Lewandowski
1
Qizhang Deng
2

  1. Warsaw University of Technology
  2. University of New South Wales Sydney

Abstrakt

The paper discusses Bayesian productivity analysis of 27 EU Member States, USA, Japan and Switzerland. Bayesian Stochastic Frontier Analysis and a two-stage structural decomposition of output growth are used to trace sources of output growth. This allows us to separate the impacts of capital accumulation, labour growth, technical progress and technical efficiency change on economic development. Since estimates of the growth components are conditioned upon model parameterisation and the underlying assumptions, a number of possible specifications are considered. The best model for decomposing output growth is chosen based on the highest marginal data density, which is calculated using adjusted harmonic mean estimator.

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Autorzy i Afiliacje

Kamil Makieła

Abstrakt

Poland is expected to enter the Exchange Rate Mechanism II (ERM II). The European Central Bank recommends that the ERM II central rate should reflect the best possible assessment of the equilibrium exchange rate. Since the equilibrium rate is changing in time, it is important to identify the pushing and pulling forces of the exchange rate. This knowledge will let the authorities to defend only the exchange rate that is in equilibrium and to assess outcomes of their actions. We use the VEC approach of Johansen to estimate the behavioral equilibrium exchange rate and to identify the pushing forces of the Polish zloty/euro rate. We apply the Gonzalo-Granger decomposition to calculate the permanent equilibrium exchange rate and to identify the pulling forces of the zloty exchange rate. We demonstrate that this approach may be useful for Polish authorities while entering the ERM II as well as within that mechanism.

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Autorzy i Afiliacje

Joanna Bęza-Bojanowska

Abstrakt

This paper studies the long-run relationship between consumption, labour income and asset wealth in Poland. Within cointegrated VAR model dynamic responses of the variables in the system to shocks are studied. In addition, series are decomposed into permanent and transitory components on the basis of the cointegrating relation found in the system.

Main conclusion of this paper is that deviations of the three variables from their estimated long-run relationship are better explained with uctuations of labour income than assets. A tentative explanation of this nding is presented. Additionally, the magnitude of the asset wealth eect in Poland is calculated and compared with other studies for European countries and for the U.S.

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Autorzy i Afiliacje

Magdalena Zachłod-Jelec

Abstrakt

Various quantile regression approaches are implemented to analyze thecharacteristics of Italian data on earnings in the tails. A changing coefficientspattern across quantiles shows increasing returns to education along the wagedistribution. A quantile decomposition approach shows that higher educationgrants higher return at all quantiles, thus implying additional, non-linear returnsto higher education throughout the entire pattern of the earning distribution.Wage gender gap displays a decreasing pattern across quantiles, and it doesnot disappear at the higher quantiles. The southern workers penalty decreasesacross quantiles as well for highly educated workers.

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Autorzy i Afiliacje

Marilena Furno

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