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Abstract

During occupational trainings given to Polish employees, one can quite often observe complaining. The instructor can use it for problem-solving or for purification. Thus, complaining plays an instrumental or cathartic function. This has consequences for the entire training process. The aim of the article is to present the phenomenon of complaining during training courses and to discuss its correlation with different variables such as learning results, participants’ mood and the evaluation of the training course. Questions were therefore posed about which function of complaining would be more conducive to the process of learning the material and result in an improvement of the participants’ mood, as well as how the instructor would be evaluated, at the response level, depending on which function of complaining is activated during the training. In order to answer these questions, the authors designed an experiment in which complaining was induced in members of an organization, performing either an instrumental function or a cathartic function. The results show that the most effective strategy is the use of its object as a point of departure for problem solution.

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Authors and Affiliations

Marta Damroka Kaliszewska
Dorota Godlewska-Werner
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Abstract

The paper presents selected aspects of dynamic numerical simulations of an orthotropic steel railway bridge loaded by high-speed trains. The model of moving loads was adopted in accordance with the models set out in the applicable standards. The current European code requirements are referred in which the computer calculations of the dynamic response of the structure are the basis for assessing the suitability of the structure to carry high-speed rail traffic ( v > 160 km/h ). In this research the calculations are based on the author's method of generating traffic roads in Abaqus FEM environment. lt is emphasized in the paper that in most commercial FEM codes (including Abaqus), moving loads are not implemented in modules responsible for defining of loads. The author's approach to this issue allowed to obtain results confirming its adequacy. In the longer term, the authors will develop a plan to adapt this algorithm in order to generale traftic loads on bridges discretized as spatial and plane numerical models.

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Authors and Affiliations

A. Zbiciak
R. Oleszek
R. Michalczyk
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Abstract

A finite element (FE) model of the straight guideway bridge under monorail train has been built in this research in order to investigate dynamic interactions of the coupled system in the vertical and longitudinal direction. A limited length of the straddle monorail bridge including five continuous spans is modeled in three dimensions by using FE method. A 3D model of the monorail train system, built in the multibody analyzer MSC ADAMS, is assembled over the bridge. The entire model, consisting of the vehicle and bridge subsystems, is numerically analyzed by performing dynamic simulation in time domain. The braking forces between the train tires and guideway beams are activated in the analysis, in addition to the dead weights of the components and the train live loads. Dynamic forces in the tires are obtained for the case of the emergency braking in the system. The reaction forces, appeared in the bridge piers, are reported as the input forces for the purpose of the bridge design.

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Bibliography

[1] A. Valera-Medina, A. Giles, D. Pugh, S. Morris, M. Pohl, and A. Ortwein. Investigation of combustion of emulated biogas in a gas turbine test rig. Journal of Thermal Science, 27:331–340, 2018. doi: 10.1007/s11630-018-1024-1.
[2] K. Tanaka and I. Ushiyama. Thermodynamic performance analysis of gas turbine power plants with intercooler: 1st report, Theory of intercooling and performance of intercooling type gas turbine. Bulletin of JSME, 13(64):1210–1231, 1970. doi: 10.1299/jsme1958.13.1210.
[3] H.M. Kwon, T.S. Kim, J.L. Sohn, and D.W. Kang. Performance improvement of gas turbine combined cycle power plant by dual cooling of the inlet air and turbine coolant using an absorption chiller. Energy, 163:1050–1061, 2018. doi: 10.1016/j.energy.2018.08.191.
[4] A.T. Baheta and S.I.-U.-H. Gilani. The effect of ambient temperature on a gas turbine performance in part load operation. AIP Conference Proceedings, 1440:889–893, 2012. doi: 10.1063/1.4704300.
[5] F.R. Pance Arrieta and E.E. Silva Lora. Influence of ambient temperature on combined-cycle power-plant performance. Applied Energy, 80(3):261–272, 2005. doi: 10.1016/j.apenergy.2004.04.007.
[6] M. Ameri and P. Ahmadi. The study of ambient temperature effects on exergy losses of a heat recovery steam generator. In: Cen, K., Chi, Y., Wang, F. (eds) Challenges of Power Engineering and Environment. Springer, Berlin, Heidelberg, 2007. doi: 10.1007/978-3-540-76694-0_9.
[7] M.A.A. Alfellag: Parametric investigation of a modified gas turbine power plant. Thermal Science and Engineering Progress, 3:141–149, 2017. doi: 10.1016/j.tsep.2017.07.004.
[8] J.H. Horlock and W.A. Woods. Determination of the optimum performance of gas turbines. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 214:243–255, 2000. doi: 10.1243/0954406001522930.
[9] L. Battisti, R. Fedrizzi, and G. Cerri. Novel technology for gas turbine blade effusion cooling. In: Proceedings of the ASME Turbo Expo 2006: Power for Land, Sea, and Air. Volume 3: Heat Transfer, Parts A and B. pages 491–501. Barcelona, Spain. May 8–11, 2006. doi: 10.1115/GT2006-90516.
[10] F.J. Wang and J.S. Chiou. Integration of steam injection and inlet air cooling for a gas turbine generation system. Energy Conversion and Management, 45(1):15–26, 2004. doi: 10.1016/S0196-8904 (03)00125-0.
[11] Z. Wang. 1.23 Energy and air pollution. In I. Dincer (ed.): Comprehensive Energy Systems, pp. 909–949. Elsevier, 2018. doi: 10.1016/B978-0-12-809597-3.00127-9.
[12] Z. Khorshidi, N.H. Florin, M.T. Ho, and D.E. Wiley. Techno-economic evaluation of co-firing biomass gas with natural gas in existing NGCC plants with and without CO$_2$ capture. International Journal of Greenhouse Gas Control, 49:343–363, 2016. doi: 10.1016/j.ijggc.2016.03.007.
[13] K. Mohammadi, M. Saghafifar, and J.G. McGowan. Thermo-economic evaluation of modifications to a gas power plant with an air bottoming combined cycle. Energy Conversion and Management, 172:619–644, 2018. doi: 10.1016/j.enconman.2018.07.038.
[14] S. Mohtaram, J. Lin, W. Chen, and M.A. Nikbakht. Evaluating the effect of ammonia-water dilution pressure and its density on thermodynamic performance of combined cycles by the energy-exergy analysis approach. Mechanika, 23(2):18110, 2017. doi: 10.5755/j01.mech.23.2.18110.
[15] M. Maheshwari and O. Singh. Comparative evaluation of different combined cycle configurations having simple gas turbine, steam turbine and ammonia water turbine. Energy, 168:1217–1236, 2019. doi: 10.1016/j.energy.2018.12.008.
[16] A. Khaliq and S.C. Kaushik. Second-law based thermodynamic analysis of Brayton/Rankine combined power cycle with reheat. Applied Energy, 78(2):179–197, 2004. doi: 10.1016/j.apenergy.2003.08.002.
[17] M. Aliyu, A.B. AlQudaihi, S.A.M. Said, and M.A. Habib. Energy, exergy and parametric analysis of a combined cycle power plant. Thermal Science and Engineering Progress. 15:100450, 2020. doi: 10.1016/j.tsep.2019.100450.
[18] M.N. Khan, T.A. Alkanhal, J. Majdoubi, and I. Tlili. Performance enhancement of regenerative gas turbine: air bottoming combined cycle using bypass valve and heat exchanger—energy and exergy analysis. Journal of Thermal Analysis and Calorimetry. 144:821–834, 2021. doi: 10.1007/s10973-020-09550-w.
[19] F. Rueda Martínez, A. Rueda Martínez, A. Toleda Velazquez, P. Quinto Diez, G. Tolentino Eslava, and J. Abugaber Francis. Evaluation of the gas turbine inlet temperature with relation to the excess air. Energy and Power Engineering, 3(4):517–524, 2011. doi: 10.4236/epe.2011.34063.
[20] A.K. Mohapatra and R. Sanjay. Exergetic evaluation of gas-turbine based combined cycle system with vapor absorption inlet cooling. Applied Thermal Engineering, 136:431–443, 2018. doi: 10.1016/j.applthermaleng.2018.03.023.
[21] A.A. Alsairafi. Effects of ambient conditions on the thermodynamic performance of hybrid nuclear-combined cycle power plant. International Journal of Energy Research, 37(3):211–227, 2013. doi: 10.1002/er.1901.
[22] A.K. Tiwari, M.M. Hasan, and M. Islam. Effect of ambient temperature on the performance of a combined cycle power plant. Transactions of the Canadian Society for Mechanical Engineering, 37(4):1177–1188, 2013. doi: 10.1139/tcsme-2013-0099.
[23] T.K. Ibrahim, M.M. Rahman, and A.N. Abdalla. Gas turbine configuration for improving the performance of combined cycle power plant. Procedia Engineering, 15:4216–4223, 2011. doi: 10.1016/j.proeng.2011.08.791.
[24] M.N. Khan and I. Tlili. New advancement of high performance for a combined cycle power plant: Thermodynamic analysis. Case Studies in Thermal Engineering. 12:166–175, 2018. doi: 10.1016/j.csite.2018.04.001.
[25] S.Y. Ebaid and Q.Z. Al-hamdan. Thermodynamic analysis of different configurations of combined cycle power plants. Mechanical Engineering Research. 5(2):89–113, 2015. doi: 10.5539/mer.v5n2p89.
[26] R. Teflissi and A. Ataei. Effect of temperature and gas flow on the efficiency of an air bottoming cycle. Journal of Renewable and Sustainable Energy, 5(2):021409, 2013. doi: 10.1063/1.4798486.
[27] A.A. Bazmi, G. Zahedi, and H. Hashim. Design of decentralized biopower generation and distribution system for developing countries. Journal of Cleaner Production, 86:209–220, 2015. doi: 10.1016/j.jclepro.2014.08.084.
[28] A.I. Chatzimouratidis and P.A. Pilavachi. Decision support systems for power plants impact on the living standard. Energy Conversion and Management, 64:182–198, 2012. doi: 10.1016/j.enconman.2012.05.006.
[29] T.K. Ibrahim, F. Basrawi, O.I. Awad, A.N. Abdullah, G. Najafi, R. Mamat, and F.Y. Hagos. Thermal performance of gas turbine power plant based on exergy analysis. Applied Thermal Engineering, 115:977–985, 2017. doi: 10.1016/j.applthermaleng.2017.01.032.
[30] M. Ghazikhani, I. Khazaee, and E. Abdekhodaie. Exergy analysis of gas turbine with air bottoming cycle. Energy, 72:599–607, 2014. doi: 10.1016/j.energy.2014.05.085.
[31] M.N. Khan, I. Tlili, and W.A. Khan. thermodynamic optimization of new combined gas/steam power cycles with HRSG and heat exchanger. Arabian Journal for Science and Engineering, 42:4547–4558, 2017. doi: 10.1007/s13369-017-2549-4.
[32] N. Abdelhafidi, İ.H. Yılmaz, and N.E.I. Bachari. An innovative dynamic model for an integrated solar combined cycle power plant under off-design conditions. Energy Conversion and Management, 220:113066, 2020. doi: 10.1016/j.enconman.2020.113066.
[33] T.K. Ibrahim, M.K. Mohammed, O.I. Awad, M.M. Rahman, G. Najafi, F. Basrawi, A.N. Abd Alla, and R. Mamat. The optimum performance of the combined cycle power plant: A comprehensive review. Renewable and Sustainable Energy Reviews, 79:459–474, 2017. doi: 10.1016/j.rser.2017.05.060.
[34] M.N. Khan. Energy and exergy analyses of regenerative gas turbine air-bottoming combined cycle: optimum performance. Arabian Journal for Science and Engineering, 45:5895–5905, 2020. doi: 10.1007/s13369-020-04600-9.
[35] A.M. Alklaibi, M.N. Khan, and W.A. Khan. Thermodynamic analysis of gas turbine with air bottoming cycle. Energy, 107:603–611, 2016. doi: 10.1016/j.energy.2016.04.055.
[36] M. Ghazikhani, M. Passandideh-Fard, and M. Mousavi. Two new high-performance cycles for gas turbine with air bottoming. Energy, 36(1):294–304, 2011. doi: 10.1016/j.energy.2010.10.040.
[37] M.N. Khan and I. Tlili. Innovative thermodynamic parametric investigation of gas and steam bottoming cycles with heat exchanger and heat recovery steam generator: Energy and exergy analysis. Energy Reports, 4:497–506, 2018. doi: 10.1016/j.egyr.2018.07.007.
[38] M.N. Khan and I. Tlili. Performance enhancement of a combined cycle using heat exchanger bypass control: A thermodynamic investigation. Journal of Cleaner Production, 192:443–452, 2018. doi: 10.1016/j.jclepro.2018.04.272.
[39] M. Korobitsyn. Industrial applications of the air bottoming cycle. Energy Conversion and Management, 43(9-12):1311–1322, 2002. doi: 10.1016/S0196-8904(02)00017-1.
[40] T.K. Ibrahim and M.M. Rahman. optimum performance improvements of the combined cycle based on an intercooler–reheated gas turbine. Journal of Energy Resources Technology, 137(6):061601, 2015. doi: 10.1115/1.4030447.
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Authors and Affiliations

Meysam Naeimi
Meisam Tatari
Amin Esmaeilzadeh

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Abstract

Mitigation of electromagnetic inference (EMI) is currently a challenge for scientists and designers in order to cope with electromagnetic compatibility (EMC) compliance in switching mode power supply (SMPS) and ensure the reliability of the whole system. Standard filtering techniques: passive and active ones present some insufficiency in terms of performance at high frequencies (HF) because analog components would no longer be controllable and this is mainly due to their parasitic elements. So developing EMI digital filters is very interesting, especially with the embedment of a machine control system on a field programmable gate array (FPGA) chip. In this paper, we present a design of an active digital EMI filter (ADF) to be integrated in a drive train system of an electric vehicle (EV). Hardware design as well as FPGA implementation issues have been presented to prove the efficiency of the developed digital filtering structure.

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Authors and Affiliations

Yosr Bchir
Soufien Gdaim
Hamza Djilali
Abdellatif Mtibaa
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Abstract

The authors show how to strengthen the educational power of the museum. Emphasize the historical and contextual variability of the main functions performed by museum, indicate that the location of the museum in the community of the city and broaden the scope of its activities to different communities. Characterized by contemporary models of museum education, along with the arguments for taming the different models of learning both by visitors and museum’s staff. & e article presents two practices, which, in the opinion of the authors are conducive to learning in/and by the museum.

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Authors and Affiliations

Anna Bilon
Tomasz Borkowski
Ewa Kurantowicz
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Abstract

The aim of the study was to determine the utility of maximum eye temperature measured by infrared thermography (IRT) as a stress indicator compared with plasma cortisol concentration in Thoroughbred and Arabian racehorses. The study included thirty racehorses undergoing standard training for racing. Measurements of maximum eye temperature and blood collection for plasma cortisol concentration were carried out before training (BT), and within 5 (5AT) and 120 minutes (120AT) after the end of the each training session in three repetitions, with a monthly interval. Both parameters were elevated at 5AT compared to BT (p<0.001). Compared to BT, at 120AT the maximum eye temperature remained elevated (p<0.001) and plasma cortisol concentration decreased (p<0.001). The study indicated significant weak correlations (r=0.220; p<0.001) between both measurements at all time points. The results support the use of IRT technique to monitor the response of horses to stress, potentially improving animal management and welfare.
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Bibliography


Becker-Birck M, Schmidt A, Lasarzik J, Aurich J, Mostl E, Aurich C (2013) Cortisol release and heart rate variability in sport horses partici-pating in equestrian competitions. J Vet Behav 8: 87-94.
Cayado P, Munoz-Escassi B, Dominguez C, Manley W, Olabarri B, Sanchez de la Muela M, Castejon F, Maranon G, Vara E (2006) Hor-mone response to training and competition in athletic horses. Equine Vet J Suppl 36: 274-78.
Christensen JW, Beekmans M, van Dalumb M, Van Dierendonck M (2014) Effects of hyperflexion on acute stress responses in ridden dres-sage horses. Physiol Behav 128: 39-45.
Cook N, Schaefer A, Warren L, Burwash L, Anderson M, Baron V (2001) Adrenocortical and metabolic responses to ACTH injection in horses: an assessment by salivary cortisol and infrared thermography of the eye. Can J Anim Sci 81: 621.
Fazio E, Calabrò G, Medica P, Messineo C, Ferlazzo A (2006) Serum cortisol levels of quarter horses: circadian variations and effects of training and western riding events. In: Lindner A (ed) Management of Lameness Causes in Sport Horses. Wageningen Academic Publishers, 2006, Cambridge, pp 175-179.
Fazio E, Medica P, Cravana C, Ferlazzo A (2008) Effects of competition experience and transportation on the adrenocortical and thyroid re-sponses of horses. Vet Rec 163: 713-716.
Irvine CH, Alexander SL (1994) Factors affecting the circadian rhythm in plasma cortisol concentrations in the horse. Domest Anim Endocrinol 11: 227-238.
Kędzierski W, Cywińska A, Strzelec K, Kowalik S (2014) Changes in salivary and plasma cortisol levels in Purebred Arabian horses during race training session. Anim Sci J 85: 313-317.
Mormède P, Andanson S, Aupérin B, Beerda B, Guémené D, Malmkvist J, Manteca X, Manteuffel G, Prunet P, van Reenen CG, Richard S, Veissier I (2007) Exploration of the hypothalamic-pituitary-adrenal function as a tool to evaluate animal welfare. Physiol Behav 92: 317-339.
National Research Council (2007) Nutrient requirements of horses, 6th ed., National Academy Press, Washington DC.
Redaelli V, Luzi F, Mazzola S, Bariffi GD, Zappaterra M, Nanni Costa L, Padalino B (2019) The use of infrared thermography (IRT) as stress indicator in horses trained for endurance: a pilot study. Anim 9: 84.
Schmidt A, Aurich J, Möstl E, Müller J, Aurich C (2010) Changes in cortisol release and heart rate and heart rate variability during the initial training of 3-year-old sport horses. Horm Behav 58: 628-636.
Soroko M, Howell K, Dudek K, Henklewski R, Zielińska P (2017) The influence of breed, age, gender, training level and ambient temperature on forelimb and back temperature in racehorses. Anim Sci J 88: 347-355.
Soroko M, Howell K, Zwyrzykowska A, Dudek K, Zielińska P, Kupczyński R (2016) Maximum eye temperature in the assessment of train-ing in racehorses: correlations with salivary cortisol concentration, rectal temperature and heart rate. J Equine Vet Sci 45: 39-45.
Soroko M, Spitalniak-Bajerska K, Zaborski D, Pozniak B, Dudek K, Janczarek I (2019) Exercise-induced changes in skin temperature and blood parameters in horses. Arch Anim Breed 62: 205-213.
Stewart M, Webster JR, Schaefer AL, Cook NJ, Scott SL (2005) Infrared thermography as a non-invasive tool to study animal welfare. Anim Welf 14: 319-325.
Stewart M, Webster JR, Verkerk GA, Schaefer AL, Colyn JJ, Stafford KJ (2007) Non-invasive measurement of stress in dairy cows using infrared thermography. Physiol Behav 92: 520-525.
Valera M, Bartolomé E, Sánchez MJ, Molina A, Cook N, Schaefer A (2012) Changes in eye temperature and stress assessment in horses during show jumping competitions. J Equine Vet Sci 32: 827-830.
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Authors and Affiliations

M. Soroko
1
K. Howell
2
K. Dudek
3
A. Waliczek
4
P. Micek
4
J. Flaga
4

  1. Institute of Animal Breeding, Wroclaw University of Environmental and Life Sciences, Chelmonskiego 38C, 51-630 Wroclaw, Poland
  2. Microvascular Diagnostics, Institute of Immunity and Transplantation, Royal Free Hospital, Pond Street, London NW3 2QG, UK
  3. Faculty of Mechanical Engineering, Wroclaw University of Technology, Lukasiewicza 7/9, 50-231 Wroclaw, Poland
  4. Department of Animal Nutrition and Biotechnology, and Fisheries, University of Agriculture in Krakow, Al. Mickiewicza 24/28, 30-059 Krakow, Poland
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Abstract

The drive train of a small scale magnetically levitated train reveals the principles of a mechatronic system and offers challenges related to design, construction and control. Therefore, it is used at the Institute of electrical Machines (IEM) of the RWTH Aachen University as a demonstrator for engineering solutions. Instead of being a part of a static predefined student laboratory, the small scale magnetically levitated train is part of dynamic individual student projects. This approach provides the advantage that the students are directly involved in the engineering process and gain motivation out of their personal ideas becoming reality.
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Authors and Affiliations

Gregor Glehn
Rüdiger Appunn
Kay Hameyer
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Abstract

The paper describes a system that utilizes a microprocessor in controlling the clamping force of the band saw teeth against the cutting metals. This control system allows the blades to operate more efficiently, and prolongs the blade life. It also has an influence on the removal of chips from the blade and maintains a constant strength over the blade. The system can operate in the vertical and horizontal position. A highly advanced and powerful microcontroller PIC18F4455 is programmed to operate with feedback from 4 sensors. Additionally system requires the parametrical data on the shape, the profile and the kind of material to be cut, for adjustment the process of cutting. Feedback control is implemented via a collocated force actuator/rate sensors. The control theory is used to develop controllers, which achieve robust stability.

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Authors and Affiliations

Józef Wojnarowski
Bohdan Borowik
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Abstract

The present study aimed to investigate the effects of manipulating visual information about one’s movement in Virtual Reality (VR) during physical training on a stationary bike. In the first experiment, the participants’ (N=30) task was to cycle on a stationary bike while embodying a virtual avatar. Fifteen participants experienced the Slow condition, in which a virtual avatar cycled at the constant speed of 15km/h, while the other fifteen participants experienced the Fast condition, in which a virtual avatar cycled at the constant speed of 35km/h. In the second experiment, we tested whether introducing agency (i.e., linking real-life cycling speed with the cycling speed of a virtual avatar), would improve exercise performance. Participants (N=31) experienced counterbalanced conditions: Faster optic flow (avatar’s speed was 15% faster than the participants’ real cycling speed), and Slower optic flow (avatar’s speed was 15% slower than the participants’ real cycling speed). Results showed that all participants increased their cycling speed when experiencing altered cycling speed of a virtual avatar compared with their baselines, but in the first experiment, participants cycled faster in the faster optic flow condition, while in the second experiment, when participants controlled the virtual avatar’s cycling speed, there were no differences between the Fast and Slow conditions. Participants described the cycling in VR as a pleasant experience. The present study suggests that the addition of Virtual Reality during exercise training may increase cycling performance.
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Bibliography


Albertus, Y., Tucker, R., Gibson, A. S. C., Lambert, E. V., Hampson, D. B., & Noakes, T. D. (2005). Effect of distance feedback on pacing strategy and perceived exertion during cycling: medicine & science in sports & exercise, 37(3), 461–468. https://doi.org/10.1249/01.MSS.0000155700.72702.76
Ali, S. F., Azmat, S. A., Noor, A. U., Siddiqui, H., & Noor, S. (2017). Virtual reality as a tool for physical training. First International Conference on Latest trends in Electrical Engineering and Computing Technologies (Intellect), 1-6. https://doi.org/10.1109/INTEL-LECT.2017.8277617.
Anderson-Hanley, C., Snyder, A. L., Nimon, J. P., & Arciero, P. J. (2011). Social facilitation in virtual reality-enhanced exercise: competitiveness moderates exercise effort of older adults. Clinical interventions in aging, 6, 275-280. https://doi.org/10.2147/CIA.S25337
Anguita D., Ghio A., Oneto L., Parra X., Reyes-Ortiz, J.L. (2012) Human Activity Recognition on Smartphones Using a Multiclass Hardware- Friendly Support Vector Machine. In: Bravo J., Hervás R., Rodríguez M. (eds) Ambient Assisted Living and Home Care. IWAAL 2012. Lecture Notes in Computer Science, vol 7657. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35395-6_30
Annesi, J. J. (2001). Effects of music, television, and a combination entertainment system on distraction, exercise adherence, and physical output in adults. Canadian Journal of Behavioural Science, 33(3), 193–202. https://doi.org/10.1037/h0087141
Ansdell, P., Thomas, K., Howatson, G., Amann, M., & Goodall, S. (2018). Deception improves TT performance in well-trained cyclists without augmented fatigue. Medicine and science in sports and exercise, 50(4), 809-816. https://dx.doi.org/10.1249%2FMSS.0000000000001483
Atzori, B., Hoffman, H. G., Vagnoli, L., Messeri, A., & Grotto, R. L. (2019). Virtual reality as distraction technique for pain management in children and adolescents. Advanced Methodologies and Technol-ogies in Medicine and Healthcare, 483-494. https://doi.org/10.4018/978-1-5225-2255-3.ch518
Baños, R. M., Escobar, P., Cebolla, A., Guixeres, J., Alvarez Pitti, J., Lisón, J. F., & Botella, C. (2016). Using virtual reality to distract overweight children from bodily sensations during exercise. Cyberpsychology, Behavior, and Social Networking, 19(2), 115- 119. https://doi.org/10.1089/cyber.2015.0283
Berg, D. V. D. (2017). Time perception in virtual reality (Master's thesis). Leiden University. Bideau, B., Kulpa, R., Vignais, N., Brault, S., Multon, F., & Craig, C. (2009). Using virtual reality to analyze sports performance. IEEE Computer Graphics and Applications, 30(2), 14-21. https://doi.org/10.1109/MCG.2009.134
Birk, M. V., Atkins, C., Bowey, J. T., & Mandryk, R. L. (2016). Fostering intrinsic motivation through avatar identification in digital games. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2982-2995. https://doi.org/10.1145/2858036.2858062
Bryanton, C., Bossé, J., Brien, M., Mclean, J., McCormick, A., & Sveistrup, H. (2006). Feasibility, motivation, and selective motor control: Virtual reality compared to conventional home exercise in children with cerebral palsy. CyberPsychology & Behavior, 9(2), 123–128. https://doi.org/10.1089/cpb.2006.9.123
Caro, V., Carter, B., Dagli, S., Schissler, M., & Millunchick, J. (2018). Can virtual reality enhance learning: A case study in materials science. IEEE Frontiers in Education Conference (FIE), 1-4. https://doi.org/10.1109/FIE.2018.8659267
Czub, M., & Kowal, M. (2019). Respiration entrainment in virtual reality by using a breathing avatar. Cyberpsychology, Behavior, and Social Networking, 22(7), 494-499. https://doi.org/10.1089/cyber.2018.0700
Donohue, K., Sadorf, A., Schmidt, K., & Kieffer, H. (2018). The effects of virtual reality training on balance and stability in female athletes. International Journal of Exercise Science: Conference proceedings, 9(6), 31.
Finkelstein, S., & Suma, E. A. (2011). Astrojumper: Motivating exercise with an immersive virtual reality exergame. Presence: Teleoperators and Virtual Environments, 20(1), 78–92. https://doi.org/10.1162/pres_a_00036
Fowler, C. A., Ballistrea, L. M., Mazzone, K. E., Martin, A. M., Kaplan, H., Kip, K. E., Murphy, J.L., & Winkler, S. L. (2019). A virtual reality intervention for fear of movement for Veterans with chronic pain: protocol for a feasibility study. Pilot and Feasibility Studies, 5(1), 1-10. https://doi.org/10.1186/s40814-019-0501-y
Gabbett, T. J. (2016). The training—injury prevention paradox: should athletes be training smarter and harder?. British journal of sports medicine, 50(5), 273-280. https://doi.org/10.1136/bjsports-2015-095788
Garcia-Palacios, A., Hoffman, H., Carlin, A., Furness, T., & Botella, C. (2002). Virtual reality in the treatment of spider phobia: a controlled study. Behaviour Research and Therapy, 40(9), 983–993. https://doi.org/10.1016/S0005-7967(01)00068-7
Hou, Y., Kang, S., & Moon, T. (2018). Customers’ continuous usage intention of virtual reality (VR) product. International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, 14-26. https://doi.org/10.1007/978-3-319-98367-7_2
Huang, S.-F., Tsai, P.-Y., Sung, W.-H., Lin, C.-Y., & Chuang, T.-Y. (2008). The Comparisons of heart rate variability and perceived exertion during simulated cycling with various viewing devices. Presence: Teleoperators and Virtual Environments, 17(6), 575–583. https://doi.org/10.1162/pres.17.6.575
IJsselsteijn, W.A., Kort, Y.A.W., Westerink, J., Jager, M., & Bonants, R. (2006). Virtual fitness: Stimulating exercise behavior through media technology. Presence: Teleoperators and Virtual Environments, 15(6), 688–698. https://doi.org/10.1162/pres.15.6.688
Jones, H. S., Williams, E. L., Marchant, D., Sparks, S. A., Bridge, C. A., Midgley, A. W., & Mc Naughton, L. R. (2016). Improvements in cycling time trial performance are not sustained following the acute provision of challenging and deceptive feedback. Frontiers in physiology, 7(399), 1-9. https://doi.org/10.3389/fphys.2016.00399
Kim, G., & Biocca, F. (2018). Immersion in virtual reality can increase exercise motivation and physical performance. International Con-ference on Virtual, Augmented and Mixed Reality, 94-102. https://doi.org/10.1007/978-3-319-91584-5_8
Lazzari, C.D., Diefenthaeler, F., & Marques, J. L. B. (2020). Virtual cycling effort is dependent on power update rate. European journal of sport science, 20(6), 831-838. https://doi.org/10.1080/17461391.2019.1669715
Lessiter, J., Freeman, J., Keogh, E., & Davidoff, J. (2001). A cross-media presence questionnaire: The ITC-Sense of Presence Inventory. Presence: Teleoperators & Virtual Environments, 10(3), 282-297. https://doi.org/10.1162/105474601300343612
MacRae, H. (2003). Cycling with video feedback improves performance in untrained, but not in trained women. Research in Sports Medicine, 11(4), 261–276. https://doi.org/10.1080/714041040
Malloy, K.M., & Milling, L. S. (2010). The effectiveness of virtual reality distraction for pain reduction: A systematic review. Clinical Psychology Review, 30(8), 1011–1018. https://doi.org/10.1016/j.cpr.2010.07.001
Micklewright, D., Papadopoulou, E., Swart, J., & Noakes, T. (2010). Previous experience influences pacing during 20 km time trial cycling. British journal of sports medicine, 44(13), 952-960. http://dx.doi.org/10.1136/bjsm.2009.057315
Milanez, V. F., Pedro, R. E., Moreira, A., Boullosa, D. A., Salle-Neto, F., & Nakamura, F. Y. (2011). The role of aerobic fitness on session rating of perceived exertion in futsal players. International Journal of Sports Physiology and Performance, 6(3), 358–366. https://doi.org/10.1123/ijspp.6.3.358
Olmos-Raya, E., Ferreira-Cavalcanti, J., Contero, M., Castellanos- Baena, M. C., Chicci-Giglioli, I. A., & Alcañiz, M. (2018). Mobile virtual reality as an educational platform: A pilot study on the impact of immersion and positive emotion induction in the learning process. Eurasia Journal of Mathematics Science and Technol-ogy Education, 14(6), 2045-2057. https://doi.org/10.29333/ejmste/85874
Parry, D., Chinnasamy, C., & Micklewright, D. (2012). Optic flow influences perceived exertion during cycling. Journal of Sport and Exercise Psychology, 34(4), 444–456. https://doi.org/10.1123/jsep.34.4.444
Parsons, T. D., & Rizzo, A. A. (2008). Affective outcomes of virtual reality exposure therapy for anxiety and specific phobias: A meta-analysis. Journal of Behavior Therapy and Experimental Psychiatry, 39(3), 250–261. https://doi.org/10.1016/j.jbtep.2007.07.007
Peck, T. C., Seinfeld, S., Aglioti, S. M., & Slater, M. (2013). Putting yourself in the skin of a black avatar reduces implicit racial bias. Consciousness and Cognition, 22(3), 779–787. https://doi.org/10.1016/j.concog.2013.04.016
Petri, K., Emmermacher, P., Danneberg, M., Masik, S., Eckardt, F., Weichelt, S., & Witte, K. (2019). Training using virtual reality improves response behavior in karate kumite. Sports Engineering, 22(1), 2. https://doi.org/10.1007/s12283-019-0299-0
Robergs, R. A., Bereket, S., & Knight, M. A. (1998). Video-assisted cycling alters perception of effort and increases self-selected exercise intensity. Perceptual and Motor Skills, 86(3), 915–927. https://doi.org/10.2466/pms.1998.86.3.915
Rothbaum, B. O., Hodges, L., Smith, S., Lee, J. H., & Price, L. (2000). A controlled study of virtual reality exposure therapy for the fear of flying. Journal of Consulting and Clinical Psychology, 68, 1020– 1026. https://doi.org/10.1037/0022-006X.68.6.1020
Shei, R.-J., Thompson, K., Chapman, R., Raglin, J., & Mickleborough, T. (2016). Using deception to establish a reproducible improvement in 4-km cycling time trial performance. International Journal of Sports Medicine, 37(05), 341–346. https://doi.org/10.1055/s-0035-1565139
Slater, M., & Sanchez-Vives, M. V. (2016). Enhancing our lives with immersive virtual reality. Frontiers in Robotics and AI, 3. 74. https://doi.org/10.3389/frobt.2016.00074
Stone, M., Thomas, K., Wilkinson, M., Jones, A., St Clair Gibson, A., & Thompson, K. (2012). Effects of deception on exercise performance: implications for determinants of fatigue in humans. Medicine & Science in Sports & Exercise, 44(3), 534-541. https://doi.org/10.1249/mss.0b013e318232cf77
Tsai, W. L., Chung, M. F., Pan, T. Y., & Hu, M. C. (2017, October). Train in virtual court: Basketball tactic training via virtual reality. Proceedings of the 2017 ACM Workshop on Multimedia-based Educational and Knowledge Technologies for Personalized and Social Online Training, 3-10.
Wender, C. L., Ahn, S. J., & O’Connor, P. J. (2019). Interactive virtual reality reduces quadriceps pain during high-intensity cycling. Medicine & Science in Sports & Exercise, 51(10), 2088-2097. https://doi.org/10.1249/mss.0000000000002016
Zeng, N., Pope, Z., & Gao, Z. (2017). Acute effect of virtual reality exercise bike games on college students' physiological and psychological outcomes. Cyberpsychology, Behavior, and Social Networking, 20(7), 453-457. https://doi.org/10.1089/cyber.2017.0042
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Authors and Affiliations

Marta Kowal
1
ORCID: ORCID
Joanna Piskorz
1
ORCID: ORCID
Marcin Czub
1
ORCID: ORCID

  1. Institute of Psychology, University of Wrocław, Poland
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Abstract

This study is a scientific justification for the hypothesis stating that the humanization of education contributes to developing a student’s personality as a subject of educational activity and helps master knowledge and skills that boost the development of professional skills. The study includes 300 cadets from the Ivan Kozhedub Kharkiv National Air Force University in their 1-4 years of study. The study determines the main pedagogical support components of professional and personal self-development of military students. In the survey, 86.6% of military students positively assessed their professional and personal self-development, although senior students (46.8%) demonstrated less interest in this regard. The study reveals that modern higher education needs further humanization so that future specialists endorse and share humanistic values; the humanization of training at the military university results in positive changes in all criteria of professional and personal self-development of military students. It is necessary to provide three stages in the integral process of professional training: the motivation and value-oriented stage; the cognitive and activity stage; the reflexive and transformative stage.
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Authors and Affiliations

Liudmyla Petrova
1
Olga Savchenko
1
Tetyana Bryk
1
Taisya Chernyshova
1
Mikhailo Trebin
2

  1. Ivan Kozhedub Kharkiv National Air Force University, Kharkiv, Ukraine
  2. Yaroslav Mudryi National Law University, Kharkiv, Ukraine
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Abstract

Beamforming training (BT) is considered as an essential process to accomplish the communications in the millimeter wave (mmWave) band, i.e., 30 ~ 300 GHz. This process aims to find out the best transmit/receive antenna beams to compensate the impairments of the mmWave channel and successfully establish the mmWave link. Typically, the mmWave BT process is highly-time consuming affecting the overall throughput and energy consumption of the mmWave link establishment. In this paper, a machine learning (ML) approach, specifically reinforcement learning (RL), is utilized for enabling the mmWave BT process by modeling it as a multi-armed bandit (MAB) problem with the aim of maximizing the long-term throughput of the constructed mmWave link. Based on this formulation, MAB algorithms such as upper confidence bound (UCB), Thompson sampling (TS), epsilon-greedy (e-greedy), are utilized to address the problem and accomplish the mmWave BT process. Numerical simulations confirm the superior performance of the proposed MAB approach over the existing mmWave BT techniques.
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Authors and Affiliations

Ehab Mahmoud Mohamed
1 2

  1. Electrical Engineering Dept., College of Engineering, Prince Sattam Bin Abdulaziz University, Wadi Aldwaser 11991, Saudi Arabia
  2. Electrical Engineering Dept., Faculty of Engineering Aswan University, Aswan 81542, Egypt
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Abstract

Current vision-based roughness measurement methods are classified into two main types: index design and deep learning. Among them, the computation procedure for constructing a roughness correlation index based on image data is relatively difficult, and the imaging environment criteria are stringent and not universally applicable. The roughness measurement method based on deep learning takes a long time to train the model, which is not conducive to achieving rapid online roughness measurement. To tackle with the problems mentioned above, a visual measurement method for surface roughness of milling workpieces based on broad learning system was proposed in this paper. The process began by capturing photos of the milling workpiece using a CCD camera in a normal lighting setting. Then, the train set was augmented with additional data to lower the quantity of data required by the model. Finally, the broad learning system was utilized to achieve the classification prediction of roughness. The experimental results showed that the roughness measurement method in this paper not only had a training speed incomparable to deep learning models, but also could automatically extract features and exhibited high recognition accuracy.
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Authors and Affiliations

Runji Fang
1
Huaian Yi
1
Shuai Wang
1
Yilun Niu
1

  1. School of Mechanical and Control Engineering, Guilin University of Technology, Guilin, 541006, People’s Republic of China
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Abstract

The information technologies for assessing the quality of IT-specialties graduates' training of university by means of fuzzy logic and neural networks are developed in the article. It makes possible taking into account a wide set of estimation and output parameters, influence of the external and internal factors and allows to simplify the assessing process by means of modern mathematical apparatuses of artificial intelligence.

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Authors and Affiliations

Anzhelika O. Azarova
Larysa E. Azarova
Sergii V. Pavlov
Nataliia B. Savina
Iryna S. Kaplun
Waldemar Wójcik
Saule Smailova
Aliya Kalizhanova
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Abstract

Amount of works and activities tending towards defining new transport mode on the basis of the hyperloop system concept is growing significantly. They assume use of individual vehicles, offering space for several dozen passengers, running with speeds near speed of sound in a closed space with significantly lowered air pressure, utilizing magnetic levitation. Simultaneously it is fairly from economic point of view assumed, that first implementations should link locations between which traffic demand is expected to be very high. Assumed short spacing between hyper-vehicles, which are frequently declared to be ad-hoc adjusted to transport demand, to the knowledge of the authors gained in railway transport, seems to be in conflict with high speed safety related spacing in view of the line infrastructure capacity operational rules defined in the UIC (International Union of Railways) documents. That is the challenge, that formed the basis for authors’ investigations described in the paper. Several thesis regarding future new mode of transport based on hyperloop concept form an outcome of those investigations presented in conclusions.
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Authors and Affiliations

Marek Pawlik
1
ORCID: ORCID
Magdalena Kycko
2
ORCID: ORCID
Konrad Zakrzewski
2
ORCID: ORCID

  1. Assistant professor, PhD., Eng., Warsaw University of Technology, Faculty of Civil Engineering, al. Armii Ludowej 16, 00-637 Warsaw, Poland
  2. M.Sc., Eng., Railway Research Institute, Chłopickiego 50, 04-275 Warsaw, Poland
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Abstract

The present research investigated the effects of short-term musical training on speech recognition in adverse listening conditions in older adults. A total of 30 Kannada-speaking participants with no history of gross otologic, neurologic, or cognitive problems were divided equally into experimental (M = 63 years) and control groups (M = 65 years). Baseline and follow-up assessments for speech in noise (SNR50) and reverberation was carried out for both groups. The participants in the experimental group were subjected to Carnatic classical music training, which lasted for seven days. The Bayesian likelihood estimates revealed no difference in SNR50 and speech recognition scores in reverberation between baseline and followed-up assessment for the control group. Whereas, in the experimental group, the SNR50 reduced, and speech recognition scores improved following musical training, suggesting the positive impact of music training. The improved performance on speech recognition suggests that short-term musical training using Carnatic music can be used as a potential tool to improve speech recognition abilities in adverse listening conditions in older adults.
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Authors and Affiliations

Akhila R. Nandakumar
1
Haralakatta Shivananjappa Somashekara
1
ORCID: ORCID
Vibha Kanagokar
1
ORCID: ORCID
Arivudai Nambi Pitchaimuthu
1
ORCID: ORCID

  1. Department of Audiology and Speech-Language Pathology, Kasturba Medical College, Mangalore Manipal Academy of Higher Education
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Abstract

: The article takes up the problem of autobiographical threads in the prose of Elena Dolgopyat. Although her work lacks a classic autobiography, most of her works are clearly connected with the writer’s biography. In this work I juxtapose two short, unpublished autobiographies of Dolgopiat, which are in my possession, with the writer’s prose works, trying to show the influence of the events in her life on her work. The theoretical basis for my considerations are the works of Małgorzata Czermińska, Katarzyna Citko, Georges Gusdorf as well as numerous reviews and critical texts by Russian literary scholars. In analyzing Dolgopyat’s stories, I also try to prove the thesis that her hometown – Murom – can be considered an autobiographical place.
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Authors and Affiliations

Urszula Trojanowska
1
ORCID: ORCID

  1. Kraków, Uniwersytet Jagielloński
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Abstract

A numerical model of the high-speed train carriage fire is established in this study. The influence of ceilings, sidewalls, luggage racks, seats, and floors on the heat release rate (HRR) of the high-speed train is studied by numerical methods. The results indicate that the heat release rate per unit area (HRRPUA) of ceiling and seat material dramatically influences the peak HRR and the time to peak HRR of train carriage fire. When the peak HRRPUA of interior ceiling material 1 decreases from 326 to 110 kW/m2, the peak HRR of the high-speed train fire decreases from 36.4 to 16.5 MW, with a reduction ratio of 54.7%. When seat materials with low HRRPUA are used, the peak HRR reduction ratio is 44.8%. The HRRPUA of the sidewall, luggage rack, and floor materials has little effect on the peak HRR of the carriage fire. However, the non-combustible luggage rack can delay the time when the HRR reaches its peak.
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Authors and Affiliations

Yuanlong Zhou
1
Haiquan Bi
2
Honglin Wang
2

  1. University of Science and Technology of China, State Key Laboratory of Fire Science, Hefei, Anhui 230026, China
  2. Southwest Jiaotong University, School of Mechanical Engineering, Chengdu 610031, China
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Abstract

The high-speed of train (HST) in combination with the high carrier frequency of HST systems leads to the severe inter carrier interference (ICI) in the HST orthogonal frequency division multiplexing (HST-OFDM) systems. To avoid the complexity in OFDM receiver design for ICI eliminations, the OFDM system parameters such as symbol duration, signal bandwidth, and the number of subcarriers should be chosen appropriately. This paper aims to propose a process of HSTOFDM system performance investigation to determine these parameters in order to enhance spectral efficiency and meet a given quality-of-service (QoS) level. The signal-to-interferenceplus- noise ratio (SINR) has been used as a figure of merit to analyze the system performance instead of signal-to-noise ratio (SNR) as most of recent research studies. Firstly, using the nonstationary geometry-based stochastic HST channel model, the SINR of each subcarrier has been derived for different speeds of the train, signal bandwidths, and number of subcarriers. Consequently, the system capacity has been formulated as the sum of all the single channel capacity from each sub-carrier. The constraints on designing HST-OFDM system parameters have been thoughtfully analyzed using the obtained expressions of SINR and capacity. Finally, by analyzing the numerical results, the system parameters can be found for the design of HSTOFDM systems under different speeds of train. The proposed process can be used to provide hints to predict performance of HST communication systems before doing further high cost implementations as hardware designs.
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Bibliography

[1] V. Vahidi and E. Saberinia, “OFDM high speed train communication systems in 5G cellular networks,” in 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2018, pp. 1–6.
[2] Y. Fu, C. Wang, A. Ghazal, e. M. Aggoune, and M. M. Alwakeel, “Performance investigation of spatial modulation systems under nonstationary wideband high-speed train channel models,” IEEE Transactions on Wireless Communications, vol. 15, no. 9, pp. 6163–6174, 2016.
[3] V. Vahidi and E. Saberinia, “Channel estimation for wideband doubly selective UAS channels.” Miami, FL, USA: IEEE, 2017, pp. 1175– 1180.
[4] V. Vahidi, A. P. Yazdanpanah, E. Saberinia, and E. E. Regentova, “Channel estimation, equalisation, and evaluation for high-mobility airborne hyperspectral data transmission,” IET Communications, vol. 10, pp. 2656–2662, 2016.
[5] A. Sanz-G´omara, J. A. Mar´ın-Garc´ıa, and J. I. Alonso, “Performance evaluation of MIMO architectures with moving relays in high-speed railways,” in 2018 48th European Microwave Conference (EuMC), 2018, pp. 716–719.
[6] M. N., R. M.I., K. S., and P. R., OFDM: Principles and Challenges. In: Tarokh V. (eds) New Directions in Wireless Communications Research. Springer, Boston, MA, 2009.
[7] J. Rodriguez-Pineiro, P. Suarez-Casal, M. Lerch, S. Caban, J. A. Garcia- Naya, L. Castedo, and M. Rupp, “LTE downlink performance in high speed trains.” Glasgow: IEEE, 2015, pp. 1–5.
[8] Zhichao Sheng, Yong Fang, and Chen Wang, “A BEM method of channel estimation for OFDM systems in high-speed train environment,” in 2013 International Workshop on High Mobility Wireless Communications (HMWC), 2013, pp. 6–9.
[9] B. Gong, L. Gui, Q. Qin, and X. Ren, “Compressive sensing-based detector design for SM-OFDM massive MIMO high speed train systems,” IEEE Transactions on Broadcasting, vol. 63, no. 4, pp. 714–726, 2017.
[10] Z. Sheng, H. D. Tuan, and Y. Fang, “Power allocation for OFDM system in a high-speed train environment,” in 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2015, pp. 650–655.
[11] X. Ren, M. Tao, and W. Chen, “Compressed channel estimation with position-based ICI elimination for high-mobility SIMO-OFDM systems,” IEEE Transactions on Vehicular Technology, vol. 65, no. 8, pp. 6204–6216, 2016.
[12] Y. Xin, Z. Liang, Y. Bai, C. Zhai, and W. Li, “Capacity enhancement using cooperative distributed antenna system in downlink high-speed train environments,” in 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), 2019, pp. 1–5.
[13] I. Zakia, “Capacity of HAP-MIMO channels for high-speed train communications,” in 2017 3rd International Conference on Wireless and Telematics (ICWT), 2017, pp. 26–30.
[14] N. Lin, X. Huang, and X. Ma, “Analysis of the uplink capacity in the high-speed train wireless communication with full-duplex mobile relay,” in 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 2016, pp. 1–5.
[15] M. K. Bhatt, B. S. Sedani, K. R. Parmar, and M. P. Shah, “Ergodic UL/DL capacity analysis of co-located and distributed antenna configuration for high speed train with massive MIMO system,” in 2017 International Conference on Inventive Computing and Informatics (ICICI), 2017, pp. 458–461.
[16] T. Zhou, C. Tao, L. Liu, J. Qiu, and R. Sun, “High-speed railway channel measurements and characterizations: a review,” Journal of Modern Transportation, vol. 20, no. 4, pp. 199–205, 2012. [Online]. Available: https://doi.org/10.1007/BF03325799
[17] F. Kaltenberger, A. Byiringiro, G. Arvanitakis, R. Ghaddab, D. Nussbaum, R. Knopp, M. Bernineau, Y. Cocheril, H. Philippe, and E. Simon, “Broadband wireless channel measurements for high speed trains,” in 2015 IEEE International Conference on Communications (ICC), 2015, pp. 2620–2625.
[18] Y. Bi, J. Zhang, Q. Zhu, W. Zhang, L. Tian, and P. Zhang, “A novel non-stationary high-speed train (HST) channel modeling and simulation method,” IEEE Transactions on Vehicular Technology, vol. 68, no. 1, pp. 82–92, 2019.
[19] A. Ghazal, C. Wang, H. Haas, M. Beach, X. Lu, D. Yuan, and X. Ge, “A non-stationary MIMO channel model for high-speed train communication systems,” in 2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 2012, pp. 1–5.
[20] A. Ghazal, C. Wang, B. Ai, D. Yuan, and H. Haas, “A nonstationary wideband MIMO channel model for high-mobility intelligent transportation systems,” IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 2, pp. 885–897, 2015.
[21] L. Liu, C. Tao, J. Qiu, H. Chen, L. Yu, W. Dong, and Y. Yuan, “Position-based modeling for wireless channel on high-speed railway under a viaduct at 2.35 GHz,” IEEE Journal on Selected Areas in Communications, vol. 30, no. 4, pp. 834–845, 2012.
[22] Y. M. Aval, S. K. Wilson, and M. Stojanovic, “On the achievable rate of a class of acoustic channels and practical power allocation strategies for OFDM systems,” IEEE Journal of Oceanic Engineering, vol. 40, no. 4, pp. 785–795, 2015.
[23] “Guidelines for evaluation of radio interface technologies for ITU,” Geneva, Switzerland, Tech. Rep. Tech. Rep. ITU-R M.2135-1, 2009.
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Authors and Affiliations

Do Viet Ha
1
Trinh Thi Huong
1
Nguyen Thanh Hai
1

  1. Faculty of Electrical and Electronic Engineering, University of Transport and Communications (UTC), Hanoi, Vietnam
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Abstract

In order to improve the operational reliability and service life of the main systems, components and assemblies (SCA) of railway transport (RT), it is necessary to timely detect (diagnose) their defects, including the use of the methods of intellectual analysis and data processing.
One of the promising approaches to the synthesis of the SCA functional control system is the use of intelligent technology (INTECH) methods. This technology is based on maximizing the information capacity of an automated decision support system for detecting faults during its training.
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Bibliography

[1] M. Schickert, I. Aydin, M. Karak¨ose, E. & Akin, ”A new contactless fault diagnosis approach for pantograph-catenary system,” in MECHATRONIKA, 2012 15th International Symposium, pp. 1-6, IEEE, 2012.
[2] A. Le Mortellec, J. Clarhaut, Y. Sallez, D. Berger, & Trentesaux, ”Embedded holonic fault diagnosis of complex transportation systems,” Engineering Applications of Artificial Intelligence, 26(1), pp. 227-24, 2013.
[3] Ph M. Papaelias, C. Roberts, L.C. & Davis, ”A review on non-destructive evaluation of rails: state-of-the-art and future development,” Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 222(4), pp. 367-384, 2008.
[4] J. Seeliger, Mackel, D. Georges, ”Measurement and diagnosis of process-disturbing oscillations in high-speed rolling plants,” in Proc. XIV IMEKO World Congress, 2002.
[5] X.S. Jin, J. Guo, X.B. Xiao, Z.F. Wen, & Z.R. Zhou, ”Key scientific problems in the study on running safety of high speed trains,” Engineering Mechanics, 26 (Sup II), pp. 8–25, 2009.
[6] L. Mariani, F. Pastore, & M. Pezze, ”Dynamic analysis for diagnosing integration faults,” IEEE Transactions on Software Engineering, 37(4), pp. 486-508, 2011.
[7] Y.C. Huang, H.C. Sun, ”Dissolved gas analysis of mineral oil for power transformer fault diagnosis using fuzzy logic,” IEEE Transactions on Dielectrics and Electrical Insulation, 20(3), pp. 974-981, 2013.
[8] Orb´an, Zolt´an, and Marc Gutermann, ”Assessment of masonry arch railway bridges using non-destructive in-situ testing methods,” Engineering Structures, 31.10 (2009): pp. 2287-2298, 2009.
[9] Yella, Siril, M. S. Dougherty, and N. K. Gupta, ”Artificial intelligence techniques for the automatic interpretation of data from non-destructive testing,” Insight-Non-Destructive Testing and Condition Monitoring, 48.1: pp. 10-20, 2006.
[10] P.S. Bhowmik, S. Pradhan, M. Prakash, ”Fault diagnostic and monitoring methods of inductionmotor: a review,” International Journal of Applied Control, Electrical and Electronics, Vol. 1, pp. 1-18, 2013.
[11] Petr Dolezel, Pavel Skrabanek, Lumir Gago, ”Pattern recognition neural network as a tool for pest birds detection,” Computational Intelligence, SSCIIEEE Symposium Series on, pp. 1-6, 2016.
[12] V. Lakhno, Y. Tkach, T. Petrenko, S. Zaitsev, & V. Bazylevych, V. ”Development of adaptive expert system of information security using a procedure of clustering the attributes of anomalies and cyber attacks,” Eastern-European Journal of Enterprise Technologies, (6 (9)), pp. 32- 44, 2016.
[13] V. Lakhno, ”Creation of the adaptive cyber threat detection system on the basis of fuzzy feature clustering,” Eastern-European Journal of Enterprise Technologies, 2.9 2016:18, 2016.
[14] V.A. Lakhno, P.U. Kravchuk, V.P. Malyukov, V.N. Domrachev, L.V. Myrutenko, O.S. Piven, ”Developing of the cyber security system based on clustering and formation of control deviation signs,” Journal of Theoretical and Applied Information Technology, Vol. 95, Iss. 21, pp. 5778-5786.
[15] A.S. Dovbish, ”Osnovi proektuvannja ntelektualnih sistem” / A.S. Dovbish. Sumi: SumDU, 171 p., 2009.
[16] X. Zhang, N. Feng, Y. Wang, & Y. Shen, ”Acoustic emission detection of rail defect based on wavelet transform and Shannon entropy,” Journal of Sound and Vibration, p. 419-432, 2015.
[17] A. Giantomassi, F. Ferracuti, S. Iarlori, G. Ippoliti, & S. Longhi, ”Electric motor fault detection and diagnosis by kernel density estimation and Kullback–Leibler divergence based on stator current measurements,” IEEE Transactions on Industrial Electronics, 2015, 62(3), pp. 1770- 1780, 2015.
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Authors and Affiliations

Ayaulym Oralbekova
1
Marzhana Amanova
1
Kamila Rustambekova
1
Zhanat Kaskatayev
1
Olga Kisselyova
2
Roza Nurgaliyeva
1

  1. Kazakh University Ways of Communications, Almaty, Kazakhstan
  2. Kazakh Academy of Transport and Communications named after M. Tynyshpayev, Almaty, Kazakhstan
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Abstract

A classical algorithm Tabu Search was compared with Q Learning (named learning) with regards to the scheduling problems in the Austempered Ductile Iron (ADI) manufacturing process. The first part comprised of a review of the literature concerning scheduling problems, machine learning and the ADI manufacturing process. Based on this, a simplified scheme of ADI production line was created, which a scheduling problem was described for. Moreover, a classic and training algorithm that is best suited to solve this scheduling problem was selected. In the second part, was made an implementation of chosen algorithms in Python programming language and the results were discussed. The most optimal algorithm to solve this problem was identified. In the end, all tests and their results for this project were presented.
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Bibliography

[1] Yang, L., Jiang, G., Chen, X., Li, G., Li, T. & Chen, X. (2019). Design of integrated steel production scheduling knowledge network system. Claster Comput. 10197-10206.
[2] Żurada, J. Barski, M., Jędruch, W. (1996). Artificial Neural Networks. Fundamentals of theory and application. Warszawa: PWN. (in Polish).
[3] Janiak, A. (2006). Scheduling in computer and manufacturing systems. Warszawa: Wydawnictwa Komunikacji i Łączności.
[4] Smutnicki, C. (2002). Scheduling algorithms. Warszawa: Akademicka Oficyna Wydawnicza EXIT. (in Polish).
[5] Coffman, E.G. (1980). Task scheduling theory. Warszawa: Wydawnictwa Naukowo-Techniczne. (in Polish).
[6] Janczarek, M. (2011). Managing production processes in the enterprise. Lublin: Lubelskie Towarzystwo Naukowe. (in Polish).
[7] Szeliga, M. (2019) Practical machine learning. Warszawa: PWN. (in Polish).
[8] Raschka, S. (2018) Python machine learning. Gliwice: Helion. (in Polish).
[9] Choi, H-S, Kim, J-S. & Lee, D-H. (2011). Real-time scheduling for reentrant hybrid flow shops: A decision tree based mechanism and its application to a TFT-LCD line. Expert System with Application. 38, 3514-3521.
[10] Agarwal, A., Pirkul, H. & Jacob, V.S. (2003). Augmented neutral network for task scheduling. European Journal of Operational Research. 151, 481-502.
[11] Jain, A.S. & Meeran, S. (1998). Jop-shop scheduling using neutral networks. International Journal of Production Research. 36(5), 1249-1272
[12] Fonseca-Reyna, Y.C., Martinez-Jimenez, Y. & Nowe, A. (2017). Q-Learning algorithm performance for m-machine, n-jobs flow shop scheduling problems to minimize makespan, Revista Investigacion Operacional. 38(3), 281-290.
[13] Dewi, Andriansyah, & Syahriza, (2019). Optimization of flow shop scheduling problem using classic algorithm: case study, IOP Conf. Series: Materials Science and Engineering 506.
[14] Putatunda, K. (2001) Development of austempered ductile cast iron (ADI) with simultaneous high yield strength and fracture toughness by a novel two-step austempering process. Material Science and Engineering A. 315, 70-80.
[15] Dayong Han, Hubei Key, Qiuhua Tang; Zikai Zhang; Jun Cao, (2020). Energy-efficient integration optimization of production scheduling and ladle dispatching in steelmaking plants. IEEE Access. 8, 176170-176187.
[16] Perzyk, M. (2017). The use of production data mining methods in the diagnosis of the causes of product defects and disruptions in the production process. Utrzymanie Ruchu. 4, 45-47. (in Polish).
[17] Perzyk, M., Dybowski, B. & Kozłowski, J. (2019). Introducing advanced data analytics in perspective of industry 4.0 in a die casting foundry. Archives of Foundry Engineering. 19(1), 53-57.
[18] Yescas, M. (2003). Prediction of the Vickers hardness in austempered ductile irons using neural networks. International Journal of Cast Metals Research. 15(5), 513-521.
[19] Report on the contract no. U / 227/2014 implemented at the Foundry Research Institute. (in Polish).
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Authors and Affiliations

D. Wilk-Kołodziejczyk
1 2
ORCID: ORCID
K. Chrzan
2
ORCID: ORCID
K. Jaśkowiec
2
ORCID: ORCID
Z. Pirowski
2
ORCID: ORCID
R. Żuczek
2
ORCID: ORCID
A. Bitka
2
ORCID: ORCID
D. Machulec
3
ORCID: ORCID

  1. AGH University of Science and Technology, Al. A. Mickiewicza 30, 30-059 Krakow, Poland
  2. Łukasiewicz Research Network – Krakow Institute of Technology, 73 Zakopiańska Str., 30-418 Kraków, Poland
  3. AGH University of Science and Technology, Kraków, Poland
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Abstract

Object tracking based on Siamese networks has achieved great success in recent years, but increasingly advanced trackers are also becoming cumbersome, which will severely limit deployment on resource-constrained devices. To solve the above problems, we designed a network with the same or higher tracking performance as other lightweight models based on the SiamFC lightweight tracking model. At the same time, for the problems that the SiamFC tracking network is poor in processing similar semantic information, deformation, illumination change, and scale change, we propose a global attention module and different scale training and testing strategies to solve them. To verify the effectiveness of the proposed algorithm, this paper has done comparative experiments on the ILSVRC, OTB100, VOT2018 datasets. The experimental results show that the method proposed in this paper can significantly improve the performance of the benchmark algorithm.
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Authors and Affiliations

Zhentao Wang
1
Xiaowei He
1
Rao Cheng
1

  1. College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, Zhejiang, 321000, China
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Abstract

The underframe passive inerter-based suspended device, based on the inerter-spring-damper vibration attenuation structure, could improve the dynamic performance of the train body, but its parameters are fixed and cannot meet the dynamic performance requirements under different operating conditions. Therefore, a semi-active inerter-based suspended device based on the linear quadratic regulator (LQR) control strategy is proposed to further enhance the dynamic performance. The rigid-flexible coupling vertical dynamic model of the train body and an underframe semi-active inerter-based suspended device are established. The structural parameters of the semi-active inerter-based suspended device are adjusted using LQR control strategy. Dynamic response of the system is obtained using the virtual excitation method. The dynamic characteristic of the system is evaluated using the Sperling index and compared with those of the passive and semi-active traditional suspended devices as well as the passive inerter-based suspended devices. The vertical vibration acceleration of the train body and Sperling index using the semi-active inerter-based suspended device is the smallest among the four suspended devices, which denotes the advantages of using the inerter and LQR control strategy. The semi-active inerter-based suspended device could decrease the vertical vibration acceleration of the train body and further suppress its elastic vibration in the lower frequency band, more effectively than the other three suspended devices. Overall, the semi-active inerter-based suspended device could significantly reduce elastic vibration of the train body and improve its dynamical performance.
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Authors and Affiliations

Yong Wang
1 2
ORCID: ORCID
Hao-Xuan Li
2
Hao-Dong Meng
3
Yang Wang
1

  1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
  2. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China
  3. School of Automotive Engineering, Changzhou Institute of Technology, Changzhou 213002, China
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Abstract

The article focuses on the term “train situation” created by Vyacheslav Kuricin, which is considered a metaphor of the work of the contemporary Russian writer Elena Dolgopyat. The proper analysis of Dolgopyat’s works is preceded by an introduction in which the definition of magical realism and its history in Russia is briefl y presented. The attitude of the Russian literary scholars to this phenomenon is presented as well. Next, the meanings of the figure of train in the writer’s stories are discussed. It is noteworthy that the features of magical realism (specific space-time construction, polyphonic narrative, fantastic elements perceived as something natural) are realized in her texts often through the image of a train. In works in which this picture does not exist, we deal with the „train situation”, which boils down to the combination in the presented world of various aspects of reality, unlimited by matter. The heroes live between different dimensions of reality, and combining into one cohesive whole of various space-times, ways of existence, realistic and fantastic elements allows to see the term of Kuricin also as a metaphor of all magical realism.

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Authors and Affiliations

Urszula Trojanowska
ORCID: ORCID

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