Experimental investigation and correlation development of jet impingement heat transfer with two rows of aligned jet holes on an internal surface of a wing leading edge

Extensive experimental studies on the heat transfer characteristics of two rows of aligned jet holes impinging on a concave surface in a wing leading edge were conducted, where50000 Rej 90000, 1.74 H/d 27.5, 66° a 90°, and 13.2 r/d 42.03. The finding was that the heat transfer performance at the jet-impingement stagnation point with two rows of aligned jet holes was the same as that with a single row of jet holes or the middle row of three-row configurations when the circumferential angle of the two jet holes was larger than 30°. The attenuation coefficient distribution of the jet impingement heat transfer in the chordwise direction was so complicated that two zones were divided for a better analysis. It indicated that： the attenuation coefficient curve in the jet impingement zone exhibited an approximate upside-down bell shape with double peaks and a single valley; the attenuation coefficient curve in the non-jet impingement zone was like a half-bell shape, which was similar to that with three rows of aligned jet holes; the factors,including Rej, H/d and r/d, affected the attenuation coefficient value at the valley significantly.When r/d was increased from 30.75 to 42.03, the attenuation rates of attenuation coefficient increased only by 1.8%. Consequently, experimental data-based correlation equations of the Nusselt number for the heat transfer at the jet-impingement stagnation point and the distributionof the attenuation coefficient in the chordwise direction were acquired, which play an important role in designing the wing leading edge anti-icing system with two rows of aligned jet holes.

Visual detection of rice rows based on Bayesian decision theory and robust regression least squares method

Paddy field management is complicated and labor intensive.Correct row detection is important to automatically track rice rows.In this study,a novel method was proposed for accurate rice row recognition in paddy field transplanted by machine before the disappearance of row information.Firstly,Bayesian decision theory based on the minimum error was used to classify the period of collected images into three periods(T1:0-7 d;T2:7-28 d;T3:28-45 d),and resulting in the correct recognition rate was 97.03%.Moreover,secondary clustering of feature points was proposed,which can solve some problems such as row breaking and tilting.Then,the robust regression least squares method(RRLSM)for linear fitting was proposed to fit rice rows to effectively eliminate interference by outliers.Finally,a credibility analysis of connected region markers was proposed to evaluate the accuracy of fitting lines.When the threshold of credibility was set at 40%,the correct recognition rate of fitting lines was 96.32%.The result showed that the method can effectively solve the problems caused by the presence of duckweed,high-density inter-row weeds,broken rows,tilting(±60°),wind and overlap.

Autonomous detection of crop rows based on adaptive multi-ROI in maize fields

Crop rows detection in maize fields remains a challenging problem due to variation in illumination and weeds interference under field conditions.This study proposed an algorithm for detecting crop rows based on adaptive multi-region of interest(multi-ROI).First,the image was segmented into crop and soil and divided into several horizontally labeled strips.Feature points were located in the first image strip and initial ROI was determined.Then,the ROI window was shifted upward.For the next image strip,the operations for the previous strip were repeated until multiple ROIs were obtained.Finally,the least square method was carried out to extract navigation lines and detection lines in multi-ROI.The detection accuracy of the method was 95.3%.The average computation time was 240.8 ms.The results suggest that the proposed method has generally favorable performance and can meet the real-time and accuracy requirements for field navigation.

Automatic detection and evaluation of sugarcane planting rows in aerial images

Sugarcane planting is an important and growing activity in Brazil.Thereupon,several techniques have been developed over the years to maximize crop productivity and profit,amongst them,processing of sugarcane field images.In this sense,this research aims to identify and analyze crop rows and measure their gaps from aerial images of sugarcane fields.For this,a small Remotely Piloted Aircraft captured the images,generating orthomosaics of the areas for analysis.Then,each orthomosaic is classified with the K-Nearest Neighbor algorithm to segment regions of interest.Planting row orientation is estimated using the RGB gradient filter.Morphological operations and computational geometry models are then used to detect and map rows and gaps along the planting row segment.To evaluate the results,crop rows are mapped and compared to manually taken measurements.Our technique obtained an error smaller than 2%when compared to gap length in crop rows from an orthomosaic with the area of 8.05 ha(ha).The proposed approach can map the positioning of the automatically generated row segments appropriately onto manually created segments.Moreover,our method also achieved similar results when confronted with a manual technique for differing growth stages(40 and 80 days after harvest)of the sugarcane crop.The proposed method presents a great potential to be adopted in sugarcane planting monitoring。

Simulation of 3D Flow in Turbine Blade Rows including the Effects of Coolant Ejection

This paper describes the numerical simulation of three-dimensional viscous flows in fir-cooled turbine blade rows with the effects of coolant ejection. A TVD Navier-Stokes flow solver incorporated with Baldwin-Lomax turbulence model and multi-grid convergence acceleration algorithm are used for the simulation. The influences of coolant ejection on the main flow are accounted by volumetric coolant source terms. Numerical results for a four-stage turbine are presented and discussed.

Effects of mesoclimate and microclimate variations mediated by high altitude and row orientation on sucrose metabolism and anthocyanin synthesis in grape berries

Climate change and extreme weather pose significant challenges to the traditional viticulture regions.Emerging high-altitude grape-producing regions with diverse orientations have shown great potential in coping with this challenge.Stable,high-quality wine grape production may be achieved by synchronizing the meso-and microclimate.To clarify the role of high altitude and row orientation in meso-and microclimate and the response of berries to it,we evaluated seven years(2012-2018)of climate data,two years of basic grape(Cabernet Sauvignon,Vitis vinifera L.)quality,and one-year microclimate from veraison to harvest.By comparing two locations(Sidon 2047 m,Sinon 2208 m)in Yunnan Province,China,we found that the average temperature has been stable at approximately 15℃ for seven years,with no extreme weather or,noticeable global warming.The light intensity(LI)in the north-south(NS)was more balanced than the east-west(EW)direction,and the east-west to the south(EW-S)canopy side was almost higher than the other sides.High LI was associated with high photosynthetically active radiation(PAR),ultraviolet(UV),and infrared(IR)light and vice versa.The north-south to the east(NS-E)and east-west to the north(EWN)sides were characterized by lower LI and higher UV and IR light,and higher total anthocyanin content.Most anthocyanin synthesis-related genes,for example,VvF3'H and VvF3'5'H,were highly expressed in NS-E from veraison to maturity.Perhaps UV and IR light induced their expression.This study provides new insights on the role of differently orientated rows in controlling grape quality due to varied light quality.The findings are globally significant,particularly in the context of climate change,and offer fresh insights into berry physiological responses and decision-making for the management of existing vineyards.

A Two-Stage Scenario-Based Robust Optimization Model and a Column-Row Generation Method for Integrated Aircraft Maintenance-Routing and Crew Rostering

Motivated by a critical issue of airline planning process,this paper addresses a new two-stage scenario-based robust optimization in operational airline planning to cope with uncertainty and possible flight disruptions.Following the route network scheme and generated flight timetables,aircraft maintenance routing and crew scheduling are critical factors in airline planning and operations cost management.This study considers the simultaneous assignment of aircraft fleet and crew to the scheduled flight while satisfying a set of operational constraints,rules,and regulations.Considering multiple locations for airline maintenance and crew bases,we solve the problem of integrated Aircraft Maintenance Routing and Crew Rostering(AMRCR)to achieve the minimum airline cost.One real challenge to the efficiency of the planning results is the possible disruptions in the initial scheduled flights.Due to the fact that disruption scenarios are expressed discretely with a specified probability,and we provide adjustable decisions under disruption to deal with this disruption risk,we provide a Two-Stage Scenario-Based Robust Optimization(TSRO)model.In this model,here-and-now or first-stage variables are the initial resource assignment.Furthermore,to adapt itself to different disruption scenarios,the model considers some adjustable variables,such as the decision to cancel the flight in case of disruption,as wait-and-see or second-stage variables.Considering the complexity of integrated models,and the scenario-based decomposable structure of the TRSO model to solve it with better computational performance,we apply the column and row generation(CRG)method that iteratively considers the disruption scenarios.The numerical results confirm the applicability of the proposed TSRO model in providing the AMRCR problem with an integrated and robust solution with an acceptable level of computational tractability.To evaluate the proposed TSRO model,which solves the AMRCR problem in an integrated and robust manner,five Key Performance Indicators(KPIs)like Number of delayed/canceled flights,Average delay time,and Average profit are taken into account.As key results driven by conducting a case study,we show the proposed TSRO model has substantially improved the solutions at all indicators compared with those of the sequential/non-integrated and nominal/non-robust models.The simulated instances used to assess the performance of the proposed model and CRG method reveal that both CPLEX and the CRG method exhibit comparable and nearly optimal performance for small-scale problems.However,for large-scale instances the proposed TSRO model falls short in terms of computational efficiency.Conversely,the proposed CRG method is capable of significantly reducing computational time and the optimality gap to an acceptable level.

Exploring the impact of high density planting system and deficit irrigation in cotton(Gossypium hirsutum L.):a comprehensive review

Lessons learned from past experiences push for an alternate way of crop production.In India,adopting high density planting system(HDPS)to boost cotton yield is becoming a growing trend.HDPS has recently been considered a replacement for the current Indian production system.It is also suitable for mechanical harvesting,which reducing labour costs,increasing input use efficiency,timely harvesting timely,maintaining cotton quality,and offering the potential to increase productivity and profitability.This technology has become widespread in globally cotton growing regions.Water management is critical for the success of high density cotton planting.Due to the problem of freshwater availability,more crops should be produced per drop of water.In the high-density planting system,optimum water application is essential to control excessive vegetative growth and improve the translocation of photoassimilates to reproductive organs.Deficit irrigation is a tool to save water without compromising yield.At the same time,it consumes less water than the normal evapotranspiration of crops.This review comprehensively documents the importance of growing cotton under a high-density planting system with deficit irrigation.Based on the current research and combined with cotton production reality,this review discusses the application and future development of deficit irrigation,which may provide theoretical guidance for the sustainable advancement of cotton planting systems.

遥控武器站研究现状与发展

介绍了遥控武器站(ROWS)的概念、特点与组成,在此基础上,从火力系统和火控系统两个方面综述了近年来国内外遥控武器站的研究进展,分析了未来遥控武器站的发展趋势。分析表明:研制具备遥控操作功能的武器站,以提高车载自动武器的射击精度、减小系统反应时间、解决操作手无装甲防护的问题,是世界各军事强国竞相发展的方向;如何进一步提高遥控武器站态势感知能力、射击精度和模块化水平将成为遥控武器站研究的重要课题。提出并讨论了先进光电技术、伺服控制技术、模块化技术、智能化技术及虚拟样机技术等发展遥控武器站的技术途径,以期为国内遥控武器站的论证分析、研制设计以及改进升级等提供理论借鉴和技术参考。

Inter-Row Spacing of PV Power Plant

When designing a solar power plant, it is much more important to avoid the shadow on the PV Panels. As the shadow falls on the PV Panels;it significantly reduces the generation of required power as planned and designed. This research paper and case study will help a lot to avoid shadow, especially when selecting inter-row spacing between the strings of solar power plants.

时域谐波平衡求解器中非物理解出现根源探析

The time domain harmonic balance method is an attractive reduced order method of analyzing unsteady flow for turbomachines. However, the method can admit non-physical solutions. Non-physical solutions were encountered from a three-blade-row compressor configuration in a time domain harmonic balance analysis. This paper aims to investigate the root cause of the non-physical solutions. The investigation involves several strategies, which include increasing the number of harmonics, increasing the number of time instants, including scattered modes,including the rotor-rotor interaction, and the use of a new method-the approximate time domain nonlinear harmonic method. Numerical analyses pertinent to each strategy are presented to reveal the root cause of the non-physical solution. It is found that the nonlinear interaction of unsteady flow components with different fundamental frequencies is the cause of the non-physical solution. The non-physical solution can be eliminated by incorporating extra scattered modes or using the approximate time domain nonlinear harmonic method.

Effects of Ratio of Row Spacing to Intrarow Spacing on Yield and Top Three Leaves of Super High-yielding Early and Late Rice

Using a split plot design, super high-yielding early rice ＆quot;Zhongjiazao 17＆quot;and ＆quot;Ganxin 203＆quot; and super high-yielding late rice ＆quot;Ganxin 688＆quot; and ＆quot;Wufengy-ouT025＆quot; were taken as materials with planting density the same at 312 000 hil s/hm2, to explore the effects of RS/IS （Ratio of row spacing to intrarow row spacing） on yield, top three leaves morphological features and its relationship of them in 2011 and 2012. The results showed that, whether early or late rice, biomass, accumula-tion and apparent utilizing rate of nitrogen were lower in RS/IS5.0 （40.0 cm ＆#215;8.0 cm） treatment, but yield of rice was higher in RS/IS2.0 （25.0 cm ＆#215;12.8 cm） treatment;grain numbers per spike of rice was more in RS/IS2.8 （30.0 cm＆#215;10.7 cm） treatment, and thousand-grain weight of rice was higher in RS/IS1.3 （20.0 cm＆#215;16.0 cm） treat-ment. For 4 varieties of early or late rice aforementioned, basal angle, opening an-gle and leaf area of 2nd leaf from top were larger in RS/IS5.0 treatment, and basal angle and opening angle were smal er in RS/IS2.0 treatment and leaf area smal er in RS/IS1.3 treatment.

特征融合与训练加速的高效目标跟踪

基于孪生网络的目标跟踪,存在特征信息欠丰富,跟踪效率有待提高,大型数据集上训练时间长等问题。针对上述问题,提出特征融合与训练加速的高效目标跟踪。增加主干网络参考特征层级,减小下采样,融合多层级参考特征图,提取目标更深度、丰富的语义信息。深度互相关操作得到候选窗口响应(Response of Candidate Windows,RoWs),在其中构建区域建议网络(Region Proposal Network,RPN),通过权衡正负锚点的数量比,使孪生网络性能更加高效、稳定。大型数据集训练孪生网络时,使用均匀滑动漂移采样,代替随机漂移采样算法,在抑制中心偏置现象的同时,显著加快了孪生网络的训练速度。跟踪基准VOT2018上的评估实验结果表明,与所有参考的主流目标跟踪算法相比,所提算法具有最佳的跟踪性能。

Rediscovering Determinant Expansion on Row or Column Theorem Through Plausible Reasoning

Plausible reasoning is an important approach to reasoning conclusions.In order to cultivate students’habits and abilities to use plausible reasoning,we should give the students a chance to imitate and practice plausible reasoning in our teaching.For our linear algebra course,most of the definitions and theorems in popular linear algebra textbooks are given directly.Thus,we give a concrete process that rediscovers determinant expansion on row or column theorem through plausible reasoning during our teaching to give the students the chance to learn the reasoning.

粗粒土非线性剪胀模型研究

粗粒土具有明显的剪胀剪缩性,为非虎克材料。对8种颗粒材料进行了11组三轴试验,将体应变分为球应力和偏应力引起的体应变两部分,并假定弹性变形泊松比为常数,对实测体应变两部分大小进行了分离。假定三轴试验的轴向应变和剪应力引起的体应变服从Rowe剪胀方程,分析表明,对任一种颗粒材料而言,Rowe剪胀方程参数Kf的归一性良好,即不同应力状态下参数Kf均近似为一个常数。在此基础上,基于邓肯–张模型和Rowe剪胀方程,建立了体变模量KP、剪胀模量Kq、剪切模量G三参量与应力状态的关系,初步提出了一种新的非线性剪胀模型。该模型可视为邓肯–张模型的改进型模型。经验证,该模型能比较准确地描述各种颗粒材料的体变过程,是一种物理概念明确,简单实用的非线性剪胀模型。

粗粒土剪胀性大型三轴试验研究

剪胀性是土体显著区别于一般弹性材料的基本特性,与土体的强度和变形特性密切相关。通过4组不同初始密度的塔城砂砾石常规大型三轴试验,研究剪胀性对粗粒土强度和变形特性的影响。试验结果表明,(1)若体变速率(体变和轴向应变均以压缩为正)先从正值减小到负值并达到最小值,随后又有所增大但仍小于0,则应力-应变曲线为软化型,在比值为最小值时土体剪胀性最大,对应于峰值强度,若体变速率从某一正值单调减小并一直大于0,则应力-应变曲线为硬化型;(2)体变变化趋势取决于剪胀性和压缩性的大小,剪切后期若剪胀速率大于压缩速率,则体变先压缩后膨胀,应力-应变曲线呈软化型,反之若剪胀速率小于压缩速率,则体变一直是压缩的,应力-应变曲线呈硬化型。研究结果对于加深认识粗粒土的强度和变形特性具有重要意义。

堆石体修正Rowe剪胀方程与南水模型

在分析堆石体三轴试验成果的基础上,探讨了堆石体的体积变形特性,提出了形式简洁的堆石体修正Rowe剪胀方程。将所建立的修正Rowe剪胀方程引入到沈珠江院士提出的"南水模型",克服了该模型由于采用体变–轴向应变抛物线假设所带来的一些缺陷。应用堆石体常规三轴试验和典型复杂应力路径三轴试验成果对修正后模型的合理性进行了验证。

测量多峰分布模式颗粒尺寸的一种计算方法

散射式激光测粒仪在微小颗粒的粒度分析中用途广泛。本文提出一种基于该类仪器的用于测量多峰分布模式颗粒粒度的计算方法 ,即 Row方法与多峰分布模式的组合算法。大量的计算机模拟计算和实测证实了这种算法的有效性和实用性。

主存储器访问调度技术研究

论述了主存储器访问操作中的bank预充电、row激活、column读写的访问调度技术。通过该技术可以缩短主存储器访问时间,从而达到提高主存储器带宽的目的。同时,为研究和评价这种主存储器访问调度策略的性能给出了一种建立仿真实验环境的思路。

Effect of Different Spacing on Structure of Fluecure Tobacco Leaf Grade

[Objective] This study was conducted to investigate the effects of different plant spacing on tobacco grade structure, growth stages, agronomic traits, yield and chemical composition under fixed row spacing. [Method] Under fixed row spacing （120 cm）, 4 treatments were designed （40, 50, 60 and 45 cm）. The growth stages, agronomic traits, economic traits and chemical composition of flue-cured tobacco leaves were compared and analyzed. [Result] with the increase of plant spacing, there were no significant differences in the emergence time of growth stages be- tween different treatment groups before resettling stage, and the resettling stage ap- peared 1-2 d in advance. At different tobacco growth stages, the changing trends of tobacco agronomic traits with the change of plant spacing were different. [Conclusion] With the increase of plant spacing, the planting density of tobacco de- creased, and the nicotine content increased; and the yield of tobacco decreased continuously, while the quality was improved, but when the plant spacing was im- proved to certain degree, the quality of tobacco also decreased, and at the plant spacing of 50 cm, the output value of tobacco was the highest.