Wyniki wyszukiwania - Biblioteka Nauki

1

Analog Circuit Fault Classification Using Improved One-Against-One Support Vector Machines

100%

Cui J. , Wang Y.

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tom Vol. 18, nr 4

569-582

EN

This paper presents a novel strategy of fault classification for the analog circuit under test (CUT). The proposed classification strategy is implemented with the one-against-one Support Vector Machines Classifier (SVC), which is improved by employing a fault dictionary to accelerate the testing procedure. In our investigations, the support vectors and other relevant parameters are obtained by training the standard binary support vector machines. In addition, a technique of radial-basis-function (RBF) kernel parameter evaluation and selection is invented. This technique can find a good and proper kernel parameter for the SVC prior to the machine learning. Two typical analog circuits are demonstrated to validate the effectiveness of the proposed method.

2

A Fast Classification Method of Faults in Power Electronic Circuits Based on Support Vector Machines

80%

Cui J. , Shi G. , Gong C.

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2017

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tom Vol. 24, nr 4

701--720

EN

Fault detection and location are important and front-end tasks in assuring the reliability of power electronic circuits. In essence, both tasks can be considered as the classification problem. This paper presents a fast fault classification method for power electronic circuits by using the support vector machine (SVM) as a classifier and the wavelet transform as a feature extraction technique. Using one-against-rest SVM and one-against-one SVM are two general approaches to fault classification in power electronic circuits. However, these methods have a high computational complexity, therefore in this design we employ a directed acyclic graph (DAG) SVM to implement the fault classification. The DAG SVM is close to the one-against-one SVM regarding its classification performance, but it is much faster. Moreover, in the presented approach, the DAG SVM is improved by introducing the method of Knearest neighbours to reduce some computations, so that the classification time can be further reduced. A rectifier and an inverter are demonstrated to prove effectiveness of the presented design.

3

Analyzing photosynthetic activity and growth of Soanum lycopersicum seedlings exposed to different light qualities

80%

Wu Q. , Su N. , Shen W. , Cui J.

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nr 06

EN

To investigate how light quality influences tomato (Solanum lycopersicum L) seedlings, we examined changes in plant growth, chloroplast ultrastructure, photosynthetic parameters and some photosynthesis-related genes expression levels. For this, tomato plants were grown under different light qualities with the same photosynthetic photon flux density: red (R), blue (B), yellow (Y), green (G) and white (W) lights. Our results revealed that, compared with plants grown under W light, the growth of plants grown under monochromatic lights was inhibited with the growth reduction being more significant in the plants grown under Y and G lights. However, the monochromatic lights had their own effects on the growth and photosynthetic function of tomato seedlings. The plant height was reduced under blue light, but expression of rbcS, rbcL, psbA, psbB genes was up-regulated, and the ΦPSII and electron transport rate (ETR) values were enhanced. More starch grains were accumulated in chloroplasts. The root elongation, net photosynthetic rate (Pn), NPQ and rbcS and psbA genes expression were promoted under red light. Yellow light- and green light-illuminated plants grew badly with their lower Rubisco content and Pn value observed, and less starch grains accumulated in chloroplast. However, less influence was noted of light quality on chloroplast structure. Compared with yellow light, the values of ΦPSII, ETR, qP and NPQ of plants exposed to green light were significantly increased, suggesting that green light was beneficial to both the development of photosynthetic apparatus to some extent.

4

Wheat straw-derived biochar enhanced nitrification in a calcareous clay soil

71%

Wang C. , Chen S. , Wu L. , Zhang F. , Cui J.

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nr 3

EN

Biochar’s production and application in soils has been suggested as a means of abating climate change by sequestering carbon while simultaneously providing energy and increasing crop yields. However, little is known about biochar’s effect on nitrification in alkaline soil. This study focused on the effect of wheat straw-derived biochar (0%, 2%, 5%, and 10%, w/w) on nitrification in a calcareous clay soil with an incubation experiment. Moreover, the variations of ammonia-oxidizing bacteria (AOB) amount, urease activity, pH, and inorganic nitrogen contents during the incubation and their relationships with potential nitrification rates were also explored. The results indicated that nitrification was enhanced by wheat straw-derived biochar and showed an obvious dose-response to biochar application rate. Generally, the potential nitrification rate increased with incubation time elapsing for all four treatments, which were in the ranges of 21.0-33.9, 23.7-45.1, 21.4-57.5, and 31.8-66.1 nmol N/(g dry soil∙h), respectively. The potential nitrification rate increased by 1.36-2.40 times at 10% biochar application rate compared with the control (0%) at the same incubation stage. Except for NH₄⁺-N content of the soil-biochar mixture, AOB amount, urease activity, pH, and NO₃⁻-N content all showed increasing trends during incubation. Moreover, correlation analysis indicated that the potential nitrification rate was positively correlated with AOB amount, urease activity, pH, and NO₃⁻-N content (r≥0.713, P<0.01), but negatively correlated with NH₄⁺-N content (r = -0.408, P<0.01). Notably, though the biochar application in the Loess Plateau region has more benefits for soil condition improvement, the enhanced nitrification induced by biochar may pose a negative effect on fertilizer bioavailable efficiency in the agricultural system.

5

A comprehensive assessment method for safety risk of gas tunnel construction based on fuzzy Bayesian network

61%

Qiu D. , Qu C. , Xue Y. , Zhou B. , Li X. , Ma X. , Cui J.

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2020

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tom 29

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nr 6

6

Direct Transformation of Ethanol to Ethyl Acetate over MoSx/C Catalyst

51%

Wang L. X. , Zheng D. F. , Ma C. X. , Zhu W. C. , Liu S. Y. , Cui J. , Wang Z. L. , Zhang W. X.

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tom Vol. 83, nr 11

1993-2000

EN

Activated carbon-supported sulfided molybdenum catalysts were tested in transformation of ethanol to ethyl acetate. The catalytic activity of MoSx/C catalysts was found to depend strongly on preparation procedure. Surface atomic ratio of S/Mo on these catalysts was different and the catalyst with the ratio of S/Mo = 2.2 had better catalytic properties. For the purpose of enhancement of catalytic activity, the treatment of activated carbon support by HNO3 had been applied. Physicochemical characterization showed that the pretreatment was effective in obtaining a highly dispersed molybdenum species on the surface of the catalyst, which led to an in crease in conversion of ethanol.