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Huawei Zhang,Chenghao Chen,Yi Zhou 제어로봇시스템학회 2018 제어로봇시스템학회 국제학술대회 논문집 Vol.2018 No.10
The research on robot audition aims to study advanced techniques to help robots acquire acoustic information from the ambient environments. In many real situations, the environment may be adverse like being highly reverberant, and the microphone signal received by the robots may consist of a superposition of several sounds. Geometric source separation (GSS) algorithm uses prior geometric information to separate simultaneously present sound sources and thus is suitable for robot audition applications. However, the performance of GSS deteriorates as the reverberation time increases even if highly accurate sources locations are available, let alone classic source localization (SL) methods themselves can hardly perform well in reverberant environments. In this paper, a joint GSS and SL algorithm is proposed for robot audition applications in strong reverberant environments. This new method estimates the parameters of blind dereverberation (BD), SL and GSS alternatively, which is similar to the conditional separation and dereverberation (CSD) method to release the one-source assumption of many BD algorithms. Furthermore, the proposed method can also be used as a robust SL algorithm alone if necessary. Experimental results verified the robust performance achieved by the proposed algorithm.
Control of Stretching of Cucumber and Tomato Plug Seedlings Using Supplemental Light
Il-Seop Kim,Chenghao Zhang,Ho-Min Kang,Bruce Mackay 한국원예학회 2008 Horticulture, Environment, and Biotechnology Vol.49 No.5
This study was initiated to select the most efficient EOD light treatment for the control of stretching of cucumber and tomato plug seedlings in the plant factory using four different EOD light qualities, three light intensities, and four different EOD light irradiation period treatments. Compared with control, R, R LED, and B LED light treatments decreased the plant seedling height 23.8%, 25.1% and 15.6% in cucumber and 14.3%, 15.6% and 8.9% in tomato, respectively; in contrast, FR LED light irradiation increased plant height about 21.9% in cucumber and 15.1% in tomato. The seedlings treated with R and FR LED lights had significantly higher values of compactness than those of other treatments. R and R LED light treatments showed the lower T/R ratio than other treatments in cucumber and tomato. In the irradiation period experiment, 10, 30, 60, and 120 minutes of R irradiation reduced the plant heights about 8.8%, 14.0%, 25.5% and 30.2% in cucumber and 11.4%, 18.0%, 22.5%, and 25% in tomato plant seedling, respectively. As the irradiation period increased, both plant seedlings showed the lowest T/R ratio and the highest compactness. The seedlings treated with 2, 8, and 16 of R light intensities reduced 11.7%, 15.3%, and 22.3% of cucumber seedling heights and 7.8%, 12.4%, and 14.8% of tomato seedling heights after 30 d and 50 d of treatments, respectively. The higher intensity of R light had the shorter lengths of hypocotyls and internodes in both plant seedlings. Lengths of petioles in both plant seedlings were significantly decreased by the EOD R light irradiation. Both plant seedlings treated with 8 μ㏖ㆍs?¹ㆍm?² of R light intensity had the lowest T/R ratio and the highest compactness.
Zhaoxi Zhao,Jia Zhang,Yukui Wang,Zhen-long Wang,Jianyong Liu,Chenghao Quan 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.7
Thermal error which has been widely studied in cutting machine tools, was ignored in the EDM machines in most cases, since there is usually no high-speed rotation for spindles. However, for large die-sinking EDM machines, due to heavy load of drive system and long processing cycle of large aeronautical parts, thermal error induced by jump motion has seriously impaired the machining accuracy and gradually been recognized. In this paper, the dynamic thermal behavior of spindle induced by periodic jump motions in large precision die-sinking EDM machine was studied for the first time. Noted that the Z-axis base and column show obvious temperature rise and the thermal error in Y direction is the largest, which is about 6.5 and 5 times compared with that in X and Z directions. Based on this, an efficient thermal error prediction model was presented. Thermal sensitive points were picked out through fuzzy clustering and correlation theory, taken as inputs of radial basis function (RBF) neural network to guarantee the accuracy. As a result, the prediction accuracy in X, Y and Z directions are 95.2 %, 92.5 % and 94.4 %, respectively. Finally, the effect of jump period on spindle thermal behavior was investigated, and suggestions for optimizing jump motion parameters were proposed to further improve the machining accuracy of large EDM machines.
Yanqing Zang,Dongjie Zhang,Changqing Yu,Chenghao Jin,Kiharu Igarashi 한국식품과학회 2017 Food Science and Biotechnology Vol.26 No.4
This study aims to investigate the antioxidant and hepatoprotective effects of kaempferol 3-O-b-D- (2,6- di-O-a-L-rhamnopyranosyl)galactopyronoside (KG) isolated from unripe soybean leaves. Carbon tetrachloride (CCl4)-induced hepatotoxic ddY mice were used in the study. The mice were divided into three groups, namely the control group, the CCl4 group (CCl4, CCl4 injected), and the KG group (KG, CCl4 injected with KG administration). Hepatic injury markers of serum and liver were analyzed. The results show that serum ALT, AST activities, hepatic glutathione, superoxide dismutase, catalase, and glutathione peroxidase activities were normalized in mice pretreated with KG. Furthermore, the liver thiobarbituric acid reactive substances levels were found to be improved by pretreatment with KG, indicating that KG is available to alleviate liver injury, this may be due to its antioxidant properties. This study suggests that unripe soy leaves could be used as functional food materials.
Ming Li,Xiaolin Zhang,Rongchen Sun,Zengmao Chen,Chenghao Liu 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.6
Automatic modulation classification is a critical algorithm for non-cooperative communication systems. This paper addresses the challenging problem of closed-set and open-set signal modulation classification in complex channels. We propose a novel approach that incorporates a self-learning filter and center-loss in Deep Residual Shrinking Networks (DRSN) for closed-set modulation classification, and the Opendistance method for open-set modulation classification. Our approach achieves better performance than existing methods in both closed-set and open-set recognition. In closed-set recognition, the self-learning filter and center-loss combination improves recognition performance, with a maximum accuracy of over 92.18%. In open-set recognition, the use of a self-learning filter and center-loss provide an effective feature vector for open-set recognition, and the Opendistance method outperforms SoftMax and OpenMax in F1 scores and mean average accuracy under high openness. Overall, our proposed approach demonstrates promising results for automatic modulation classification, providing better performance in non-cooperative communication systems.
Jin Yong,Wang Zhilin,Zhang Zhenxin,Lin Bo,Ge Zhengjun,You Qidong,Chen Hao,Liu Xiliang,Xu Chenghao,Gao Shuaiqiang,Wu Yi,Abro Zafar 한국자원공학회 2023 Geosystem engineering Vol.26 No.4
CO2 flooding is a significant technology for oil recovery, to reveal the microcosmic mechanism of CO2 flooding, CO2 slim tube experiments, long core CO2 flooding experiments, gas chromatography analysis experiments, and numerical simulations were carried out. The results show that the miscibility increase can improve the effect of dissolution and diffusion in the CO2-crude oil system, easing the CO2 finger entry phenomena, and delaying gas breakthrough time. Besides, the CO2 -crude oil interaction is enhanced by increasing the pressure difference between the injection well and the production well, which improves the oil recovery of CO2 flooding. Besides, CO2 carries the light and medium components (C4 ~ 25) forward to cross the first miscible zone, which makes the CO2-crude oil system form double miscible zones. This study reveals the rule of CO2 front and light components front under different miscibility degrees of CO2 flooding from the microscopic perspective and deepens the theory of CO2 flooding in low-permeability sandstone reservoirs.
Li Cong,Cai Wentao,Liu Shuli,Zhou Chenghao,Cao Mingyue,Yin Hongwei,Sun Dong-Xiao,Zhang Shengli,Loor Juan J. 아세아·태평양축산학회 2020 Animal Bioscience Vol.33 No.11
Objective: An initial RNA-Sequencing study revealed that UDP-galactose-4-epimerase (GALE) was one of the most promising candidates for milk protein concentration in Chinese Holstein cattle. This enzyme catalyzes the interconversion of UDP-galactose and UDP-glucose, an important step in galactose catabolism. To further validate the genetic effect of GALE on milk protein traits, genetic variations were identified, and genotypes-phenotypes associations were performed. Methods: The entire coding region and the 5’-regulatory region (5’-UTR) of GALE were re-sequenced using pooled DNA of 17 unrelated sires. Association studies for five milk production traits were performed using a mixed linear animal model with a population encompassing 1,027 Chinese Holstein cows. Results: A total of three variants in GALE were identified, including two novel variants (g.2114 A>G and g.2037 G>A) in the 5’-UTR and one previously reported variant (g.3836 G>C) in an intron. All three single nucleotide polymorphisms (SNPs) were associated with milk yield (p<0.0001), fat yield (p = 0.0006 to <0.0001), protein yield (p = 0.0232 to <0.0001) and protein percentage (p<0.0001), while no significant associations were detected between the SNPs and fat percentage. A strong linkage disequilibrium (D’ = 0.96 to 1.00) was observed among all three SNPs, and a 5 Kb haplotype block involving three main haplotypes with GAG, AGC, and AGG was formed. The results of haplotype association analyses were consistent with the results of single locus association analysis (p<0.0001). The phenotypic variance ratio above 3.00% was observed for milk protein yield that was explained by SNP-g.3836G >C. Conclusion: Overall, our findings provided new insights into the polymorphic variations in bovine GALE gene and their associations with milk protein concentration. The data indicate their potential uses for marker-assisted breeding or genetic selection schemes.