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Hongtao Shen,Weicheng Hu,Qing-shan Yang,Fucheng Yang,Kunpeng Guo,Tong Zhou,Guowei Qian,Qinggen Xu,Ziting Yuan 한국풍공학회 2022 Wind and Structures, An International Journal (WAS Vol.35 No.6
In wind-resistant designs, wind velocity is assumed to be a Gaussian process; however, local complex topography may result in strong non-Gaussian wind features. This study investigates the non-Gaussian wind features over complex terrain under atmospheric turbulent boundary layers by the large eddy simulation (LES) model, and the turbulent inlet of LES is generated by the consistent discretizing random flow generation (CDRFG) method. The performance of LES is validated by two different complex terrains in Changsha and Mianyang, China, and the results are compared with wind tunnel tests and onsite measurements, respectively. Furthermore, the non-Gaussian parameters, such as skewness, kurtosis, probability curves, and gust factors, are analyzed in-depth. The results show that the LES method is in good agreement with both mean and turbulent wind fields from wind tunnel tests and onsite measurements. Wind fields in complex terrain mostly exhibit a left-skewed Gaussian process, and it changes from a softening Gaussian process to a hardening Gaussian process as the height increases. A reduction in the gust factors of about 2.0%-15.0% can be found by taking into account the non-Gaussian features, except for a 4.4% increase near the ground in steep terrain. This study can provide a reference for the assessment of extreme wind loads on structures in complex terrain.
Chemical Vapor Deposition Growth of Graphene Domains Across the Cu Grain Boundaries
Yang Wang,Yu Cheng,Yunlu Wang,Shuai Zhang,Chen Xu,Xuewei Zhang,Miao Wang,Yang Xia,Qunyang Li,Pei Zhao,Hongtao Wang 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2018 NANO Vol.13 No.08
Many aspects in the chemical vapor deposition (CVD) growth of graphene remain unclear such as its behavior near the catalyst grain boundaries. Here we investigate the CVD growth mechanism of graphene across the Cu grain boundaries using unidirectional aligned graphene domains, which simplifies the analysis of both graphene and Cu to a large extent. We found that for a graphene domain grown across the Cu grain boundary, the domain orientation is determined by the Cu grain where the domain nucleation center is located, and the Cu grain boundary will not change the growth behavior for this graphene domain. This growth mechanism is consistent with the Custep-attached nucleation and edge-attachment-limited growth mechanism for H-terminated graphene domains and will provide more guidance for the synthesis of high-quality graphene with less domain boundaries.
Wang, Hongtao,Kwon, Woo-Saeng,Yang, Dong-Uk,Kim, Min-Kyeoung,Sathiyamoorthy, Subramaniyam,Jin, Haizhu,Yang, Deok-Chun Informa Healthcare 2011 Mitochondrial DNA Vol.22 No.1
<P><I>Background and aims.</I> Molecular authentication of Korean ginseng cultivars was investigated using the mitochondrial nicotinamide adenine dinucleotide (NADH) dehydrogenase subunit 7 (<I>nad</I>7) intron 3 region. <I>Materials and methods</I>. A mutation site specific to <I>Panax ginseng</I> “??Gumpoong”?? and “??Chungsun”?? cultivars was detected within the sequence data. Based on this mutation site and the “??Gumpoong”??-specific single nucleotide polymorphism site reported in 26S rDNA, two modified allele-specific primer pairs were designed and a multiplex amplification refractory mutation system (MARMS) was applied to identify “??Gumpoong”?? and “??Chungsun.”?? <I>Results.</I> The results showed that “??Gumpoong”?? and “??Chungsun”?? can be clearly discriminated from the other Korean ginseng cultivars by simultaneously identifying the haplotype of “??Gumpoong”?? and the specific allele of “??Chungsun”?? by applying the MARMS. <I>Conclusion.</I> This study, therefore, provides a simple and reliable method for simultaneous authentication of “??Gumpoong”?? and “??Chungsun”?? cultivars.</P>
Molecular discrimination of Panax ginseng cultivar K-1 using pathogenesis-related protein 5 gene
Hongtao Wang,Fengjiao Xu,Xinqi Wang,권우생,Deok Chun Yang 고려인삼학회 2019 Journal of Ginseng Research Vol.43 No.3
Background: The mixed-cultivation of different Panax ginseng cultivars can cause adverse effects onstability of yield and quality. K-1 is a superior cultivar with good root shape and stronger diseaseresistance. DNA markers mined from functional genes are clearly desirable for K-1, as they may associatewith major traits and can be used for marker-assisted selection to maintain the high quality of Koreanginseng. Methods: Five genes encoding pathogenesis-related (PR) proteins of P. ginseng were amplified andcompared for polymorphism mining. Primary, secondary, and tertiary structures of PR5 protein wereanalyzed by ExPASy-ProtParam, PSSpred, and I-TASSER methods, respectively. A coding single nucleotidepolymorphism (SNP)ebased specific primer was designed for K-1 by introducing a destabilizingmismatch within the 30 end. Allele-specific polymerase chain reaction (PCR) and real-time allele-specificPCR assays were conducted for molecular discrimination of K-1 from other cultivars and landraces. Results: A coding SNP leading to the modification of amino acid residue from aspartic acid to asparaginewas exploited in PR5 gene of K-1 cultivar. Bioinformatics analysis showed that the modification of aminoacid residue changed the secondary and tertiary structures of the PR5 protein. Primer KSR was designedfor specific discrimination of K-1 from other ginseng cultivars and landraces. The developed real-timeallele-specific PCR assay enabled easier automation and accurate genotyping of K-1 from a large numberof ginseng samples. Conclusion: The SNP marker and the developed real-time allele-specific PCR assay will be useful not onlyfor marker-assisted selection of K-1 cultivar but also for quality control in breeding and seed programs ofP. ginseng.
Yang Xianfeng,Li HongTao 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.6
Load balancing of virtual machines is one of the most significant issues in cloud computing research. A common approach is to employ intelligent algorithms such as Ant Colony Optimization (ACO). However, there are two main issues with traditional ACO. First, ACO is very dependent on the initial conditions, which might affect the final optimal solution and the convergence speed. To solve this problem, we propose to employ Genetic Algorithm (GA) for ACO initialization. Second, ACO could arrive at local optimal point, and the convergence speed is typically low. Along this line, we introduce the idea of Simulated Annealing (SA) to avoid local optimal and accelerate the convergence. Lastly, our experiments show that our improved ACO achieves good performance in load balancing.
( Hongtao Zhang ),( Zihua Yang ),( Yunfan Ye ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.11
Femtocells are envisioned as a key solution to embrace the ever-increasing high data rate and thus are extensively deployed. However, the dense and random deployments of femtocell access points (FAPs) induce severe intercell inference that in turn may degrade the performance of spectral efficiency. Hence, unrestrained proliferation of FAPs may not acquire a net throughput gain. Besides, given that numerous FAPs deployed in ultra-dense networks (UDNs) lead to significant energy consumption, the amount of FAPs deployed is worthy of more considerations. Nevertheless, little existing works present an analytical result regarding the optimal FAP density for a given User Equipment (UE) density. This paper explores the realistic scenario of randomly distributed FAPs in UDN and derives the coverage probability via Stochastic Geometry. From the analytical results, coverage probability is strictly increasing as the FAP-to-UE ratio increases, yet the growing rate of coverage probability decreases as the ratio grows. Therefore, we can consider a specific FAP-to-UE ratio as the point where further increasing the ratio is not cost-effective with regards to the requirements of communication systems. To reach the optimal FAP density, we can deploy FAPs in line with peak traffic and randomly switch off FAPs to keep the optimal ratio during off-peak hours. Furthermore, considering the unbalanced nature of traffic demands in the temporal and spatial domain, dynamically and carefully choosing the locations of active FAPs would provide advantages over randomization. Besides, with a huge FAP density in UDN, we have more potential choices for the locations of active FAPs and this adds to the demand for a strategic sleeping policy.