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Nano Research 2022年第2期15卷 1593-1602页

作者： Zexin Yu Lixia Sang Angran Cao yunlong gao MOE Key Laboratory of Enhanced Heat Transfer and Energy Conservation Beijing Key Laboratory of Heat Transfer and Energy ConversionBeijing MunicipalityBeijing University of TechnologyBeijing 100124China

Hierarchical Ag/SiO_(2)/TiO_(2) nanobowl(NB)arrays were fabricated for use as plasmonic photoanodes for solar-hydrogen *** nanobowls had large pore size and were composed of an upper TiO_(2) nanoring and a lower TiO_(2) nanohole.A thin SiO_(2) inter-layer was introduced as an electron transmission channel to change the mechanism of hot electron *** were performed to characterize the variation of electron concentration in Ag/SiO_(2)/TiO_(2) NB arrays,taking into account both the optical transition of photogenerated electrons,and electron *** multiphysics coupling function of COMSOL software provided the light source for optical transition of photogenerated electrons,and a Wentzel-Kramers-Brillouin model was employed to represent the *** results demonstrate that the TiO_(2) nanoring was a transporter,which transmitted electrons downward to the *** SiO_(2) layer replaces the Schottky barrier to become a bridge for tunneling of hot electrons in high-and low-energy states into TiO_(2).Moreover,the coverage of the SiO_(2) layer helped increase the light absorption of TiO_(2),it also reduced the near electric field coupling between Ag and TiO_(2).Accordingly,under AM 1.5 light irradiation,the photocurrent density and average hydrogen evolution rate of Ag/SiO_(2)/TiO_(2) were 1.8 and 2.2 times higher,respectively,than those of pure TiO_(2),implying far more efficient migration of carriers.

关键词： nanobowl tunneling Wentzel-Kramers-Brillouin(WKB)approximation hot electron SiO_(2)layer

A time-series modeling method based on the boosting gradient-descent theory

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Science China(Technological Sciences) 2011年第5期54卷 1325-1337页

作者： gao yunlong PAN JinYan JI GuoLi gao Feng Department of Automation Xiamen University Xiamen 361005 China SKLMS Laboratory Xi 'an Jiaotong University Xi 'an 710049 China College of Information Engineering Jimei University Xiamen 361021 China

The forecasting of time-series data plays an important role in various domains. It is of significance in theory and application to improve prediction accuracy of the time-series data. With the progress in the study of time-series, time-series forecasting model becomes more complicated, and consequently great concern has been drawn to the techniques in designing the forecasting model. A modeling method which is easy to use by engineers and may generate good results is in urgent need. In this paper, a gradient-boost AR ensemble learning algorithm (AREL) is put forward. The effectiveness of AREL is assessed by theoretical analyses, and it is demonstrated that this method can build a strong predictive model by assembling a set of AR models. In order to avoid fitting exactly any single training example, an insensitive loss function is introduced in the AREL algorithm, and accordingly the influence of random noise is reduced. To further enhance the capability of AREL algorithm for non-stationary time-series, improve the robustness of algorithm, discourage overfitting, and reduce sensitivity of algorithm to parameter settings, a weighted kNN prediction method based on AREL algorithm is presented. The results of numerical testing on real data demonstrate that the proposed modeling method and prediction method are effective.

关键词： time-series forecasting boosting ensemble learning overfitting

Optimization based accurate scheduling for generation and reserve of power system

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Science China(Technological Sciences) 2012年第1期55卷 223-232页

作者： gao yunlong PAN JinYan YANG ZiJiang gao Feng JI GuoLi Department of Automation Xiamen University Xiamen 361005 China SKLMS Labo atory Xi＇an Jiaotong University Xi＇an 710049 China College oflnformation Engineering Jimei University Xiamen 361021 China School oflnformation Technology York University Toronto Canada M3J 1P3 Canada

With the improvement of electricity markets,the gradual aggravation of energy shortage and the environment pollution,it is urgent to formulate a new model to precisely satisfy the system demand for energy and ***,power system opti-mization dispatching is always formulated as a discrete-time scheduling *** this paper,we first demonstrate through an example that the upper and lower bounds of spinning reserve offered by a unit,given in the discrete-time model framework as constraints,is *** causes the problem that the reserve delivery obtained by the discrete-time scheduling model cannot be carried out *** the detailed analysis of the ramp rate constraints,it is proved that the reachable upper and lower bounds of spinning reserve in every period can be expressed as functions of two variables,i.e.,generation level of unit at the start and end of this ***,a new method is provided to calculate the upper and lower bounds of spinning reserve which are reachable in ***,a new model based on this proposed method for joint scheduling of generation and reserve is presented,which considers the ability to realize the scheduled energy and reserve *** converts the opti-mization based accurate scheduling for generation and reserve of power system from a continuous-time optimal control prob-lem to a nonlinear programming ***,the proposed model can avoid the difficulties in solving a continu-ous-time optimal control *** on the sequential quadratic programming method,numerical experiments for sched-uling electric power production systems are performed to evaluate the model and the results show that the new model is highly effective.

关键词： power system scheduling continuous-time scheduling model precisely reachable up and down spinning reserve sequentialquadratic programming

Large-scale automatic block adjustment from satellite to indoor photogrammetry

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Geo-Spatial Information Science 2023年第2期26卷 160-174页

作者： Deren Li Bo Yang Mi Wang Taiping Wang yunlong gao Yingdong Pi State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina

Block Adjustment(BA)is a critical procedure in the geometric processing of satellite images,responsible for compensating and correcting the geometric positioning errors of the *** accuracy of the photogrammetric products,including Digital Orthophoto Map(DOM),Digital Elevation Model(DEM),Digital Line Graphic(DLG),and Digital Raster Graphic(DRG),directly depends on the accuracy of BA *** recent years,the rapid development of related technologies such as Artificial Intelligence(AI),Computer Vision(CV),Unmanned Aerial Vehicles(UAVs)and big data has greatly facilitated and transformed the classical BA in *** paper first reviews the current status of BA and then looks into the ***,this paper provides a brief review of the key technologies involved in BA,including image matching,the establishment of adjustment model,the determination of the parameters and the detection of gross ***,taking the intercross and fusion of current technologies such as AI,cloud computing and big data with photogrammetry into account,this paper explores the future trends of ***,four typical cases of large-scale adjustment are introduced,including large-scale BA without Ground Control Points(GCPs)for optical stereo satellite images,large-scale BA with laser altimetry data for optical stereo satellite images,large-scale BA for UAV oblique photogrammetry,and large-scale BA for indoor photogrammetry in caves with a large number of close-range images.

关键词： Block Adjustment(BA) large-scale image matching control points review

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骨关节炎核心基因的生物信息学鉴定

中国组织工程研究 2025年第3期29卷 637-644页

作者：朱雪坤刘恒冯晖高云龙文磊蔡筱松赵奔仲敏陆军第七十一集团军医院江苏省徐州市221000

背景:目前骨关节炎成为影响老年人生活质量的主要疾病,治疗效果欠佳,临床治疗措施主要集中在阻止疾病的进程,同时骨关节炎的发病机制尚不完全清楚。为了探索骨关节炎的主要发病机制和基因编码调控的相关机制,进行生物信息学分析。目的:... 详细信息

背景:目前骨关节炎成为影响老年人生活质量的主要疾病,治疗效果欠佳,临床治疗措施主要集中在阻止疾病的进程,同时骨关节炎的发病机制尚不完全清楚。为了探索骨关节炎的主要发病机制和基因编码调控的相关机制,进行生物信息学分析。目的:通过基因表达谱筛选出在骨关节炎中起主要作用的核心差异基因。方法:从基因表达综合数据库(GEO)下载数据集:GSE114007、GSE117999和GSE129147,利用R软件筛选出GSE114007和GSE117999数据合集的差异基因,将差异基因进行加权基因共表达网络分析,选择和骨关节炎最相关的模块基因并进行蛋白互作分析,利用cytocape软件筛选出候选核心基因,随后将候选核心基因进行最小绝对收缩和选择算子回归(LASSO回归)和COX分析,鉴定出在骨关节炎中起关键作用的核心基因,利用外部数据集GSE129147验证核心基因的准确性。结果与结论:①共鉴定出477个差异基因,加权基因共表达网络分析获得265个和骨关节炎相关的差异基因,共鉴定8个候选核心基因,LASSO回归分析最终获得了一个具有核心价值的差异基因ASPM并进行了外部验证;②提示通过生物信息学筛选出基因ASPM表达异常在骨关节炎中起到关键核心作用。

关键词：骨关节炎差异表达基因核心差异基因生物信息学 LASSO回归分析

The Global Attractors and Their Hausdorff and Fractal Dimensions Estimation for the Higher-Order Nonlinear Kirchhoff-Type Equation with Strong Linear Damping

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International Journal of Modern Nonlinear Theory and Application 2016年第4期5卷 185-202页

作者： yunlong gao Yuting Sun Guoguang Lin Department of Mathematics Yunnan University Kunming China

In this paper, we study the longtime behavior of solution to the initial boundary value problem for a class of strongly damped Higher-order Kirchhoff type equations: . At first, we prove the existence and uniqueness of the solution by priori estimation and the Galerkin method. Then, we obtain to the existence of the global attractor. At last, we consider that the estimation of the upper bounds of Hausdorff and fractal dimensions for the global attractors are obtained.

关键词： Nonlinear Higher-Order Kirchhoff Type Equation The Existence and Uniqueness The Global Attractors Hausdorff Dimensions Fractal Dimensions

The Global Attractors for the Higher-Order Kirchhoff-Type Equation with Nonlinear Strongly Damped Term

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International Journal of Modern Nonlinear Theory and Application 2016年第4期5卷 203-217页

作者： Yuting Sun yunlong gao Guoguang Lin Mathematical of Yunnan University Kunming China

We investigate the global well-posedness and the global attractors of the solutions for the Higher-order Kirchhoff-type wave equation with nonlinear strongly damping: . For strong nonlinear damping σ and ?, we make assumptions (H1) - (H4). Under of the proper assume, the main results are existence and uniqueness of the solution in proved by Galerkin method, and deal with the global attractors.

关键词： Strongly Nonlinear Damped Higher-Order Kirchhoff Equation The Existence and Uniqueness The Global Attractors

On Local Existence and Blow-Up of Solutions for Nonlinear Wave Equations of Higher-Order Kirchhoff Type with Strong Dissipation

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International Journal of Modern Nonlinear Theory and Application 2017年第1期6卷 11-25页

作者： Guoguang Lin yunlong gao Yuting Sun Department of Mathematics Yunnan University Kunming China

In this paper, we study on the initial-boundary value problem for nonlinear wave equations of higher-order Kirchhoff type with Strong Dissipation: . At first, we prove the existence and uniqueness of the local solution by the Banach contraction mapping principle. Then, by “Concavity” method we establish three blow-up results for certain solutions in the case 1): , in the case 2): and in the case 3): . At last, we consider that the estimation of the upper bounds of the blow-up time is given for deferent initial energy.

关键词： Nonlinear Higher-Order Kirchhoff Type Equation Strong Damping Local Solutions Blow-Up Initial Energy

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泥质粉砂岩地层盾构掘进问题及处理措施

铁道工程学报 2021年第7期38卷 89-93页

作者：高云龙中铁第四勘察设计院集团有限公司武汉430063

研究目的:盾构在中风化泥质粉砂岩地层中掘进时主要遇到了盾构轴线偏差过大、盾构刀盘磨损严重或崩断、地层沉降急剧增大导致地面塌陷、局部基岩裂隙水发育影响施工进度、管片上浮等五方面的工程问题,本文详细分析以上问题发生的机理,... 详细信息

研究目的:盾构在中风化泥质粉砂岩地层中掘进时主要遇到了盾构轴线偏差过大、盾构刀盘磨损严重或崩断、地层沉降急剧增大导致地面塌陷、局部基岩裂隙水发育影响施工进度、管片上浮等五方面的工程问题,本文详细分析以上问题发生的机理,并结合工程实践提出切实可行的处理措施。研究结论:(1)设计时建议加强小半径曲线地段管片配筋,小半径曲线段施工时应特别注意盾构机长、盾尾间隙等控制盾构转弯特性的参数;(2)盾构选型时应提高刀盘、刀具、螺旋输送机等主要部位耐磨设计;应加大刀盘开口率、配置高压冲水装置和搅拌装置,应对结泥饼情况;(3)应加强对出土量、渣土情况的监测,必要时进行停机检查;盾构上方位于土岩结合面时,必须采用保压掘进;(4)应保证盾构机能在保压状态下实现较长距离掘进;(5)应合理控制浆液配比、注浆压力等参数,确保管片轴线不超过控制值;(6)本文研究成果可为泥质粉砂岩中盾构隧道设计、施工提供借鉴与参考。

关键词：中风化泥质粉砂岩盾构法工程问题处理措施

充分发挥火电系统深度变负荷能力的风火电动态经济调度

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中国电机工程学报 2017年第9期37卷 2491-2499页

作者：高云龙闫鹏厦门大学航空航天学院福建省厦门市361005

已有文献分析了传统的离散时间调度模型,并指出这类调度模型存在备用容量上、下限不可达的问题。该文进一步指出这类调度模型中存在备用容量上、下限约束过于严格、限制机组的深度变负荷能力的不足。以连续时间调度模型为基础,建立了充... 详细信息

已有文献分析了传统的离散时间调度模型,并指出这类调度模型存在备用容量上、下限不可达的问题。该文进一步指出这类调度模型中存在备用容量上、下限约束过于严格、限制机组的深度变负荷能力的不足。以连续时间调度模型为基础,建立了充分发挥机组深度变负荷能力的风火电联合随机调度模型。仿真实验结果表明,这种含风电场的电力系统动态经济调度模型能有效应对风电出力的随机波动性特征,充分发挥机组深度变负荷能力,在保证系统可靠性的前提下能节省更多的成本。

关键词：风电变负荷能力备用容量连续时间调度模型