Load Forecasting Based on Weighted Grey Relational Degree and Improved ABC-SVM

Ruxue Luo,Shumin Liu,Miaona You,Jican Lin 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.4

The present study proposes a short-term load forecasting method based on weighted grey relational degree and improved support vector machines with the artifi cial bee colony algorithm (ABC-SVM). The entropy weight method was employed to obtain the weight of load-related physical information, and the historical and forecast load data selected based on the weighted grey relational degree were input into the support vector machine (SVM) to build a forecasting model. Meanwhile, the SVM parameters were optimized by the improved artifi cial bee colony algorithm before the model was used to perform load forecasting. The experimental results show that the proposed method could eff ectively improve the accuracy of the forecasting model and simplify the calculation, thus having research and practical value

Four-year changes in central fatness, risk of diabetes, and metabolic control in older adults: a cohort study with mediation analysis

( Xue Cai ),( Dan Luo ),( Shuling Liu ),( Ruxue Li ),( Yanhui Lu ),( Mingzi Li ),( Shanhu Qiu ) 대한내과학회 2022 The Korean Journal of Internal Medicine Vol.37 No.1

Background/Aims: Older adults are vulnerable to central obesity, while the association of changes in central fatness with risk of diabetes and metabolic control has not been investigated among this particular population. This study was aimed to address these issues. Methods: A total of 1,815 adults aged ≥ 60 years without diabetes at baseline were followed for 4 years. Incident diabetes was ascertained based on plasma glucose, hemoglobin A1c, medical history, and/or the use of anti-diabetic drugs. Central fatness was assessed by waist circumference (WC), waist-height ratio (WHtR), and body roundness index (BRI). Logistic regression analyses were used to assess the association of changes in central fatness with risk of diabetes, along with dose-response and mediation analyses. Results: During the 4-year follow-up, 177 participants developed diabetes. The risk of diabetes was increased by 42%, 41%, and 40% per 1 standard deviation increases in WC, WHtR, and BRI, respectively, in multivariable-adjusted models (all p < 0.01). Moreover, these relationships were all linearly-shaped (all p_nonlinearity ≥ 0.11). Increases in WC, WHtR, and BRI correlated with increases in hemoglobin A1c, triglycerides-and-glucose index, triglycerides, white blood cell, and C-reactive protein (all p ≤ 0.04). Yet only changes in hemoglobin A1c and triglycerides-and-glucose index were identified as the possible mediators for risk of diabetes, with their mediating effect being about 35% and 21%, respectively. Conclusions: Increases in central fatness were related to elevated risk of diabetes, and this association might be partly explained by the worsening of glycemic control and insulin resistance in older adults.

Illumina-sequencing based transcriptome study of coat color phenotypes in domestic goats

Yongdong Peng,Xiaohui Liu,Liying Geng,Ruxue Ma,Lisha Li,Jingshi Li,Chuansheng Zhang,Zhengzhu Liu,Yuanfang Gong,Xianglong Li 한국유전학회 2017 Genes & Genomics Vol.39 No.8

This study performed a comprehensive expression profiling of genes expressed in the skin of goats with three different coat colors by Illumina Sequencing. A total of 91 significantly expressed genes were detected when comparing gray skin to white skin library and these included 74 up-regulated and 17 down-regulated genes in gray skin. There were 67 differentially expressed genes between brown skin and white skin libraries, 23 of which were up-regulated and 44 were down-regulated in brown skin. When we compared brown and gray libraries, 154 differentially expressed genes were found, of which 33 showed higher expression and 121 showed lower expression in brown skin. To our surprise, MC1R, MITF, TYR and KIT showed no significant difference in expression between the goats with three skin colors, whereas ASIP was detected in white skin but not in dark skins. In this study, PMEL, TRPM1, TYRP1 and DCT were significantly upregulated in brown goat skin compare with gray and white skins. PMEL showed higher expression in gray goat skin compared with white goat skin, whereas there were no significant differences in the expression of TYRP1, TRPM1 and DCT between gray and white skin samples. In addition, ELOVL3 showed higher expression in gray goat skin than in brown and white skins, whereas there was no significant differences in the expression of ELOVL3 between brown and white skin samples. These results expand our understanding of the complex molecular mechanisms of skin physiology and melanogenesis in goat and provide a foundation for future studies.

Deformation Characteristics and Countermeasures of shallow and Large-span Tunnel Under-crossing the Existing Highway in Soft Soil: a Case Study

Cheng-yong Cao,Cheng-hua Shi,Ming-feng Lei,Li-min Peng,Ruxue Bai 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.8

Hongmian Road goes under Jihe highway by the way of tunnel in Shenzhen City, Guangdong Province, China. The tunnel hassome special characteristics such as shallow depth, large span, soft soil, busy traffic, and long distance under-crossing the operatinghighway, thus there is great difficulty and risk during its construction. A series of in-situ tests were conducted to reveal deformationcharacteristics during tunneling beneath the existing highway by the double-side-drift method (DSDM). The results show that initialconstruction method and measures can't meet the safety requirement of tunnel construction, and the level of risk is extremely high, sothe construction method need to be timely adjusted. By comprehensive analysis, the double-side-drift optimum method (DSDOM) isput forward, on the basis of which a series of optimum measures also have been put forward, such as reasonable constructionmethods, the suitable length of bench and excavation, soil reinforcement measures on tunnel face, optimizing construction process,closing primary support in time and speeding up the construction of secondary lining. Then the feasibility of this optimizedconstruction method and measures are verified by the numerical simulations. Finally, from feedbacks of monitoring results, theoptimum method and measures have been proved to be reasonable and feasible, and they can guarantee a successful pass beneath theoperating highway.

A Study on the Bending Mechanism of the Flexible Ureteroscope

Man-Cheong Lei,Ruxu Du 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10

Flexible ureteroscope is increasingly used for urologic treatment today. The key mechanism of the ureteroscope is the bending mechanism. It consists of a bending head and a control lever connected through a set of wire. The lighting and imaging optics as well as the surgical tools all go through the bending head. With the demand for improved performance and reduced size, more research on its design is still needed. In this paper, the modeling and simulation of an ureteroscope are presented, which pave the road for design optimization in the future.

Adaptive Node Placement for Optimal Control

Ho Ching,Pui-Hang Ko,Ching Kong,Ruxu Du 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8

Optimal control deals with the problem of finding a control law for a given system such that a certain optimality criterion is achieved. Most optimal control problems are sufficiently complex such that numerical methods are necessary to compute a solution. Some of the more prominent works on the numerical optimal control are the Discrete Mechanics and Optimal Control (DMOC) method based on Newton quadrature by Marsden and the pseudospectral optimal control based on Gaussian quadrature. As both quadrature methods are based on fixed nodes, this paper proposes an alternative method based on adaptive node placement. The node locations are allowed to vary during the optimization routine such that they can be concentrated in areas of high activity where precision is most needed. The new algorithm is verified via numerical solutions.