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Abstract

In our studies the absorption, transmittance and reflectance spectra for periodic nanostructures with different parameters were calculated by the FDTD (Finite-Difference Time-Domain) method. It is shown that the proportion of reflected light in periodic structures is smaller than in case of thin films. The experimental results showed the light reflectance in the spectral range of 400–900 nm lower than 1% and it was significantly lower in comparison with surface texturing by pyramids or porous silicon.

Silicon nanowires on p-type Si substrate were formed by the Metal-Assisted Chemical Etching method (MacEtch). At solar cells with radial p-n junction formation the thermal diffusion of phosphorus has been used at 790°C. Such low temperature ensures the formation of an ultra-shallow p-n junction. Investigation of the photoelectrical properties of solar cells was carried out under light illumination with an intensity of 100 mW/cm2. The obtained parameters of NWs' solar cell were Isc = 22 mA/cm2, Uoc = 0.62 V, FF = 0.51 for an overall efficiency η = 7%. The relatively low efficiency of obtained SiNWs solar cells is attributed to the excessive surface recombination at high surface areas of SiNWs and high series resistance.

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Authors and Affiliations

O.V. Pylypova
A.A. Evtukh
P.V. Parfenyuk
I.I. Ivanov
I.M. Korobchuk
O.O. Havryliuk
O.Yu. Semchuk
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Abstract

The performance of HgCdTe barrier detectors with cut-off wavelengths up to 3.6 μm fabricated using metaloorganic chemi- cal vapour deposition operated at high temperatures is presented. The detectors’ architecture consists of four layers: cap contact, wide bandgap barrier, absorber and bottom contact layer. The structures were fabricated both with n- and p-type absorbing layers. In the paper, different design of cap-barrier structural unit (n-Bp′, n+-Bp′, p+-Bp) were analysed in terms of various electrical and optical properties of the detectors, such as dark current, current responsivity time constant and detectivity.

The devices with a p-type cap contact exhibit very low dark current densities in the range of (2÷3)×10-4 A/cm2 at 230 K and the maximum photoresponse of about 2 A/W in wide range of reverse bias voltage. The time constant of measured de- vices with n-type cap contact and p-type absorbing drops below 1 ns with reverse bias while the detectivity is at the level of 1010 cm Hz1/2/W.

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Authors and Affiliations

Małgorzata Kopytko
ORCID: ORCID
A. Kębłowski
W. Gawron
P. Madejczyk
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Abstract

In order to solve the problem of misjudgment caused by the traditional power grid fault diagnosis methods, a new fusion diagnosis method is proposed based on the theory of multisource information fusion. In this method, the fault degree of the power element is deduced by using the Bayesian network. Then, the time-domain singular spectrum entropy, frequencydomain power spectrum entropy and wavelet packet energy spectrum entropy of the electrical signals of each circuit after the failure are extracted, and these three characteristic quantities are taken as the fault support degree of the power components. Finally, the four fault degrees are normalized and classified as four evidence bodies in the D-S evidence theory for multifeature fusion, which reduces the uncertainty brought by a single feature body. Simulation results show that the proposed method can obtain more reliable diagnosis results compared with the traditional methods.
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Bibliography

[1] Yao Yuantao, Wang Jin, Xie Min, Hu Liqin and Wang Jianye, ”A new approach for fault diagnosis with full-scope simulator based on state information imaging in nuclear power plant”, Annals of Nuclear Energy, 2020, 141, 1-9.
[2] Lei Koua, Chuang Liua, Guo-wei Caia, Zhe Zhangb, ”Fault Diagnosis for Power Electronics Converters based on Deep Feedforward Network and Wavelet Compression”, Electric Power Systems Research, 2020, 185, 1-9.
[3] Haibo Zhang, Kai Jia, Weijin Shi, Jianzhao Guo, Weizhi Su and Li Zhang, ”Power Grid Fault Diagnosis Based on Information Theory and Expert System”, Proceedings of the CSU-EPSA,, 2017, 29(8), 111-118.
[4] Jianfeng Zhou, Genserik Reniers and Laobing Zhang, ”A weighted fuzzy Petri-net based approach for security risk assessment in the chemical industry”, Chemical Engineering Science, 2017, 174, 136-145.
[5] Sen Wang and Xiaorun Li, ”Circuit Breaker Fault Detection Method Based on Bayesian Approach”, Industrial Control Computer, 2018, 31(4), 147-151.
[6] Kaikai Gu and Jiang Guo, ”Transformer Fault Diagnosis Method Based on Compact Fusion of Fuzzy Set and Fault Tree”, High Voltage Engineering , 2014, 40(05), 1507-1513.
[7] Jun Miao, Qikun Yuan, Liwen Liu, Zhipeng You and Zhang Wang, ”Research on robot circuit fault detection method based on dynamic Bayesian network”, Electronic Design Engineering, 2020, 28(9), 184- 188.
[8] Bangcheng Lai and Genxiu Wu, ”The Evidence Combination Method Based on Information Entropy”, Journal of Jiangxi Normal University (Natural Science), 2012, 36(5), 519-523.
[9] Libo Liu, Tingting Zhao, Yancang Li and Bin Wang, ”An Improved Whale Algorithm Based on Information Entry”, Mathematics in practice and theory, 2020, 50(2), 211-219.
[10] Juan Yan, Minfang Peng, et al., ”Fault Diagnosis of Grounding Grids Based on Information Entropy and Evidence Fusion”, Proceedings of the CSU-EPSA, 2017, 29(12),8-13.
[11] Ershadi, Mohammad Mahdi and Seifi, Abbas, ”An efficient Bayesian network for differential diagnosis using experts’ knowledge”, International Journal of Intelligent Computing and Cybernetics, 2020, 13(1), 103-126.
[12] Guan Li, Zhifeng Liu, Ligang Cai and Jun Yan, ”Standing-Posture Recognition in Human–Robot Collaboration Based on Deep Learning and the Dempster–Shafer Evidence Theory”, Sensors, 2020, 20(4), 1- 17.
[13] Xiaofei He, Xiaoyang Tong and Shu Zhou, ”Power system fault diagnosis based on Bayesian network and fault section location”, Power system protection and control, 2010, 38(12), 29-34.
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Authors and Affiliations

Xin Zeng
1 2
Xingzhong Xiong
1 3
Zhongqiang Luo
1 3

  1. School of Automation and Information Engineering, Sichuan University of Science and Engineering, Yibin, China
  2. Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Yibin, China
  3. Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan Universityof Science and Engineering, Yibin, China
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Abstract

Species and generic composition of nematode communities from the epiphytic mosses in the Left-bank Polesie were studied. Nematodes were extracted by a modified Baermann’s method. A total of 47 species was found and they belonged to 34 genera, 21 families and 8 orders. The average number of nematodes was 4077 per 100 g of the moss. Rhabditida, Tylenchida, Plectida and Dorylaimida composed had more species richness (12, 10, 8 and 7 species, respectively). Species of these four orders comprised 78.7%. Representatives of three order Plectida, Dorylaimida and Monhysterida were the most numerous within the considered communities (proportion in the communities were 40.75, 21.30 and 18.65%, respectively). The majority of the identified species were subrecedent (31 or 65.95% of species composition) and accidental species (37 or 78.72%). Three species: Plectus parietinus Bastian, 1865, Mesodorylaimus bastiani Bütschli, 1873 and Geomonhystera villosa Bütschli, 1873 composed the core of nematode communities from epiphytic mosses in the Left-bank Polesie. They were found in 70.21, 57.45 and 53.19% of the samples, proportion in the community of 15.21, 10.03 and 17.96%, respectively.
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Bibliography

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Glime, J.M., 2012. Invertebrates: Nematodes. Chapt. 4–3. In: Glime, J.M. (Ed.), Bryophyte Ecology 2. Bryological Interaction. 4-3-1 Ebook sponsored by Michigan Technological University and the International Association of Bryologists. www.bryoecol.mtu.edu.

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Kiryanova, E.S., Krall, E.L., 1969. Parasitic Nematodes of Plants and Measures of their Control. Nauka, Leningrad, Vol. 1, 1–441 [In Russian].

Lazarova, S., Peneva, V., Peneva, L., 2000. Nematode assemblages from the moss Hypnum cupressiforme Hedw. growing on different substrates in a balkanic durmast oak forest (Quercus dalechampii Ten.) on Mount Vitosha, Bulgaria. Nematology 2, 263–272.

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Authors and Affiliations

Valentyna Shevchenko
1
Tetiana Zhylina
1

  1. T.H. Shevchenko National University “Chernihiv Colehium”, 53, Hetman Polubotko Str., Chernihiv, 14013, Ukraine

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