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电子技术（上海） 2024年第2期53卷 190-191页

作者：巫吉祥孙中义陈雪睿陈功勋江苏省送变电有限公司江苏212400 北京洛斯达科技发展有限公司北京100010

阐述一种基于BIM的特高压换流站工程环保水保智慧管控系统的设计方案,该系统依托移动互联网、实景三维先进技术,形成面向换流站环水保综合管控技术体系,从而提升数字化管控水平。

关键词： BIM 特高压换流站工程智慧控制系统

Adaptive sampling for corrugated plate digitization using a laser displacement sensor

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Science China(Technological Sciences) 2024年第5期67卷 1510-1523页

作者： wu ChengXing QI Qi CHEN BaiJin YANG jixiang DING Han State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhan430074China State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan430074China

The surface quality of a corrugated plate directly determines the heat transfer property of the thermal power mechanical *** detection methods are impractical for real-world production,being slow and *** contrast,the point laser displacement sensor,employing the optical triangle method,emerges as a promising device for assessing parts with variable curvature and highly reflective *** its benefits,high-density sampling by an innate frequency introduces challenges such as data redundancy and a poor signal-to-noise ratio,potentially affecting the efficiency and precision of subsequent data *** address these challenges,adjustable frequency data sampling has been developed for this sensor,allowing adaptive sampling for corrugated plate *** process begins with surface digitization to extract discrete points,which are transformed into intersection curves using the B-spline fitting ***,dominant points are identified,considering multigeometric constraints for curvature and arch ***,the sampling signal is adjusted based on the distribution information of dominant *** results indicate that the proposed method effectively minimizes redundant sampling without compromising the accurate capture of essential geometric features.

关键词： corrugated plate laser displacement sensor adaptive sampling dominant point curvature arch height

基于Dijkstra算法的变电站三维电缆最优敷设模型

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微型电脑应用 2024年第8期40卷 81-84页

作者：王昊吴勇陈功勋刘东华李明远巫吉祥江苏省送变电有限公司江苏南京211106

为了规划最短、最优电缆敷设路径,针对变电站环境复杂、空间三维避障效果较差的问题,研究基于Dijkstra算法的变电站三维电缆最优敷设模型。通过GIM软件搭建包含设备、桥梁、土建结构以及电缆通道与其连接点五大部分的变电站三维电缆敷... 详细信息

为了规划最短、最优电缆敷设路径,针对变电站环境复杂、空间三维避障效果较差的问题,研究基于Dijkstra算法的变电站三维电缆最优敷设模型。通过GIM软件搭建包含设备、桥梁、土建结构以及电缆通道与其连接点五大部分的变电站三维电缆敷设空间模型,经空间划分与批量埋管处理后,采用分网格法进行电缆敷设路径规划空间建模,并以电缆敷设过程中容积率限制、转弯数减少以及夹角处扇形搜索为前提,应用Dijkstra算法在路径规划空间模型中规划电缆敷设路径,获取电缆最优敷设路径。将该路径导入三维电缆敷设空间模型,获得变电站三维电缆最优敷设模型。实验结果证明:该模型可获取电缆最优敷设路径,不受变电站实地环境影响,敷设路径短且转折点少,电缆敷设避障效果好。

关键词： Dijkstra算法变电站三维电缆模型电缆敷设模型最优敷设路径

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混合金属氧化物掺杂对锰酸锂性能的影响研究

中国锰业 2024年第2期42卷 22-26页

作者：李海亮詹海青闫冠杰吴继相杨英全李华成广西南锰国际新能源科技有限责任公司广西崇左532200 南方锰业集团有限责任公司广西南宁530029

以低钠钾型二氧化锰、碳酸锂为原料,以不同量纳米三氧化二铝、二氧化钛为添加剂,采用高温固相法制备电池正极材料锰酸锂,研究混合金属氧化物添加量对锰酸锂的物理性能及电性能的影响。通过粒度分布、振实密度、微观结构、容量及容量衰... 详细信息

以低钠钾型二氧化锰、碳酸锂为原料,以不同量纳米三氧化二铝、二氧化钛为添加剂,采用高温固相法制备电池正极材料锰酸锂,研究混合金属氧化物添加量对锰酸锂的物理性能及电性能的影响。通过粒度分布、振实密度、微观结构、容量及容量衰减对材料性能进行表征。结果表明,纳米三氧化二铝掺杂量为0.3%和二氧化钛掺杂量为0.5%的条件下合成的锰酸锂材料0.5 C容量为98.2 mAh/g和1.0 C容量为97.9 mAh/g,50次高温循环容量保持率为98.37%,该产品具有高温循环性能优良,对锰酸锂的生产具有一定参考意义。

关键词：低钠钾型二氧化锰混合金属氧化物锰酸锂高温循环性能

Genetic Variation for Achene Traits in Cup Plant (<i>Silphium perfoliatum</i>L.)

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Open Journal of Genetics 2015年第2期5卷 71-82页

作者： Teshale Assefa jixiang wu Arvid Boe Iowa State University Ames USA South Dakota State University Brookings USA

Cup plant (Silphium perfoliatum L.) has demonstrated potential for biomass production in studies using transplants in poorly drained cropland not suitable for conventional crops, but little is known about its establishment from seeding. The success rate for stand establishment of perennial plants is usually positively correlated with seed weight. Therefore, objectives of this study were to determine contribution of genetic effects to variation in achene weight, seed weight, achene length, and achene width of cup plant in a population with high biomass potential. Seedlings of 33 half-sib (HS) families were transplanted at Brookings, SD in 1999 and 2010. Achene/seed traits were determined at seed maturity in 2000, 2011 and 2012. Narrow-sense heritability was higher for achene weight and seed weight than that for dimensional achene traits. Within-population genetic variation occurred for achene and seed weight, both of which varied in response to temporal variation in precipitation and temperature. Results of this study indicated the presence of sufficient additive genetic variation for progress from among-family selection for achene weight. Thus, since families with heavy achenes had higher percent seedling emergence and superior seedling vigor compared to families with light achenes, achene weight may be useful for indirect selection for enhanced seed quality in development of new cultivars of cup plant for biomass production on marginal crop land.

关键词： Cup Plant Achene Traits Heritability Seedling Vigor Seed Germination

Revealing GE Interactions from Trial Data without Replications

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Open Journal of Statistics 2019年第3期9卷 407-419页

作者： jixiang wu Johnie Jenkins Jack C. McCarty Department of Agronomy Horticulture and Plant Science South Dakota State University Brookings SD USA Crop Science Research Laboratory USDA-ARS Mississippi State MS USA

Detecting genotype-by-environment (GE) interaction effects or yield stability is one of the most important components for crop trial data analysis, especially in historical crop trial data. However, it is statistically challenging to discover the GE interaction effects because many published data were just entry means under each environment rather than repeated field plot data. In this study, we propose a new methodology, which can be used to impute replicated trial data sets to reveal GE interactions from the original data. As a demonstration, we used a data set, which includes 28 potato genotypes and six environments with three replications to numerically evaluate the properties of this new imputation method. We compared the phenotypic means and predicted random effects from the imputed data with the results from the original data. The results from the imputed data were highly consistent with those from the original data set, indicating that imputed data from the method we proposed in this study can be used to reveal information including GE interaction effects harbored in the original data. Therefore, this study could pave a way to detect the GE interactions and other related information from historical crop trial reports when replications were not available.

关键词： GE Interaction Historical Crop Trial Data Imputation

Biomass Production of Cup Plant (<i>Silphium perfoliatum</i>L.) in Response to Variation in Plant Population Density in the North Central USA

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American Journal of Plant Sciences 2019年第6期10卷 904-910页

作者： Arvid Boe Kenneth A. Albrecht Paul J. Johnson jixiang wu Agronomy Horticulture and Plant Science Department South Dakota State University Brookings SD USA Department of Agronomy University of Wisconsin Madison WI USA Insect Biodiversity Laboratory South Dakota State University Brookings SD USA

The North American genus Silphium is receiving global attention for its potential in the development of new food, forage, and industrial crops, including cellulosic biomass for biofuel. Little is known about the effect of plant population density on biomass production in large, coarse perennial forbs. Our objective was to evaluate the effect of variation in plant density on biomass production and stand morphology of cup plant (Silphium perfoliatum L.). Plant population densities of 17,000, 34,000, and 68,000 plants ha-1 were evaluated for biomass production in a single-harvest per annum system for three years at Brookings, SD and Arlington, WI. Biomass increased linearly by 43% between the low and high density at Brookings;whereas, at Arlington, response to variation in plant density was year dependent. Shoots plant-1 was inversely related to plant density with linear regression explaining >95% of the variation. Our results strongly suggested that further studies of effects of plant population density on biomass production in cup plant should include evaluation of, in addition to, densities higher than 68,000 plants ha-1.

关键词： Biofuel Shoot Density Shoots Plant-1 Stand Morphology Cup Plant Moth Eucosma giganteana Riley Biotic Stress Abiotic Stress

An Adaptive Sequential Replacement Method for Variable Selection in Linear Regression Analysis

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Open Journal of Statistics 2023年第5期13卷 746-760页

作者： jixiang wu Johnie N. Jenkins Jack C. McCarty Jr. Genetics and Sustainable Agriculture Research Unit USDA-ARS Mississippi State USA

With the rapid development of DNA technologies, high throughput genomic data have become a powerful leverage to locate desirable genetic loci associated with traits of importance in various crop species. However, current genetic association mapping analyses are focused on identifying individual QTLs. This study aimed to identify a set of QTLs or genetic markers, which can capture genetic variability for marker-assisted selection. Selecting a set with k loci that can maximize genetic variation out of high throughput genomic data is a challenging issue. In this study, we proposed an adaptive sequential replacement (ASR) method, which is considered a variant of the sequential replacement (SR) method. Through Monte Carlo simulation and comparing with four other selection methods: exhaustive, SR method, forward, and backward methods we found that the ASR method sustains consistent and repeatable results comparable to the exhaustive method with much reduced computational intensity.

关键词： Adaptive Sequential Replacement Association Mapping Exhaustive Method Global Optimal Solution Sequential Replacement Variable Selection

Biomass Production of Monocultures and Mixtures of Cup Plant and Native Grasses on Prime and Marginal Cropland

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American Journal of Plant Sciences 2019年第6期10卷 911-924页

作者： Arvid Boe Kenneth A. Albrecht Paul J. Johnson jixiang wu Department of Agronomy Horticulture and Plant Science South Dakota State University Brookings SD USA Department of Agronomy University of Wisconsin Madison WI USA Insect Biodiversity Laboratory South Dakota State University Brookings SD USA

To date, most candidate systems for producing herbaceous cellulosic biomass have been composed of monocultures of perennial or annual grasses. Ecosystem goods and services provided from these biomass feedstock production systems could be increased dramatically with mixing of one or more forb species that would increase biodiversity and provide habitat for pollinators. Cup plant (Silphium perfoliatum L.) is featured with many desirable characteristics, such as high biomass potential, adaptation to marginal soils, and attractiveness to pollinators, desirable in a dicot species to grow in mixtures with perennial warm-season grasses. The objective of this study was to compare cup plant, switchgrass (Panicum virgatum L.), and prairie cordgrass (Spartina pectinata Link) monocultures to their mixtures for biomass production on prime and poorly drained marginal crop land for two years in both South Dakota and Wisconsin. In Wisconsin, monocultures of prairie cordgrass and cup plant and their mixture produced more biomass (8.1 Mg·ha-1) than the switchgrass monoculture and switchgrass/cup plant mixture (5.3 Mg·ha-1) on both prime and marginal land. While in South Dakota, drought and meristem destruction by the cup plant moth (Eucosma giganteana Riley) caused large reductions in biomass production (1.7 Mg·ha-1) in both years, with the switchgrass/cup plant mixture on marginal land having the highest yield (2.1 Mg·ha-1). Our study showed binary mixtures of cup plant and native warm-season grasses have great potential for increasing biodiversity and other ecosystem goods and services, relative to monocultures, for sustainable biomass feedstock production on poorly drained marginal land in the northcentral USA.

关键词： Silphium perfoliatum L. Switchgrass Panicum virgatum L. Prairie Cordgrass Spartina pectinata Link Bioenergy Pollinators Eucosma giganteana Riley Ecosystem Goods and Services

Comparison of REML and MINQUE for Estimated Variance Components and Predicted Random Effects

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Open Journal of Statistics 2016年第5期6卷 814-823页

作者： Nan Nan Johnie N. Jenkins Jack C. McCarty jixiang wu Department of Mathematics and Statistics South Dakota State University Brookings SD USA Crop Science Research Laboratory USDA-ARS Mississippi State MS USA Agronomy Horticulture and Plant Science Department South Dakota State University Brookings SD USA

Linear mixed model (LMM) approaches have been widely applied in many areas of research data analysis because they offer great flexibility for different data structures and linear model systems. In this study, emphasis is placed on comparing the properties of two LMM approaches: restricted maximum likelihood (REML) and minimum norm quadratic unbiased estimation (MINQUE) with and without resampling techniques being included. Bias, testing power, Type I error, and computing time were compared between REML and MINQUE approaches with and without Jackknife technique based on 500 simulated data sets. Results showed that MINQUE and REML methods performed equally regarding bias, Type I error, and power. Jackknife-based MINQUE and REML greatly improved power compared to non-Jackknife based linear mixed model approaches. Results also showed that MINQUE is more time-saving compared to REML, especially with the use of resampling techniques and large data set analysis. Results from the actual cotton data analysis were in agreement with our simulated results. Therefore, Jackknife-based MINQUE approaches could be recommended to achieve desirable power with reduced time for a large data analysis and model simulations.

关键词： Comparison of REML and MINQUE for Estimated Variance Components and Predicted Random Effects