The forecasting efficiency under different selected regions by Pattern Informatics Method and seismic potential estimation in the North-South Seismic Zone

In 2022,four earthquakes with M_(S)≥6.0 including the Menyuan M_(S)6.9 and Luding M_(S)6.8 earthquakes occurred in the North-South Seismic Zone(NSSZ),which demonstrated high and strong seismicity.Pattern Informatics(PI)method,as an effective long and medium term earthquake forecasting method,has been applied to the strong earthquake forecasting in Chinese mainland and results have shown the positive performance.The earthquake catalog with magnitude above M_(S)3.0 since 1970 provided by China Earthquake Networks Center was employed in this study and the Receiver Operating Characteristic(ROC)method was applied to test the forecasting efficiency of the PI method in each selected region related to the North-South Seismic Zone systematically.Based on this,we selected the area with the best ROC testing result and analyzed the evolution process of the PI hotspot map reflecting the small seismic activity pattern prior to the Menyuan M_(S)6.9 and Luding M_(S)6.8 earthquakes.A“forward”forecast for the area was carried out to assess seismic risk.The study shows the following.1)PI forecasting has higher forecasting efficiency in the selected study region where the difference of seismicity in any place of the region is smaller.2)In areas with smaller differences of seismicity,the activity pattern of small earthquakes prior to the Menyuan M_(S)6.9 and Luding M_(S)6.8 earthquakes can be obtained by analyzing the spatio-temporal evolution process of the PI hotspot map.3)The hotspot evolution in and around the southern Tazang fault in the study area is similar to that prior to the strong earthquakes,which suggests the possible seismic hazard in the future.This study could provide some ideas to the seismic hazard assessment in other regions with high seismicity,such as Japan,Californi,Turkey,and Indonesia.

Low side lobe pattern synthesis using projection method with genetic algorithm for truncated cone conformal phased arrays

A hybrid method for synthesizing antenna＇s three dimensional （3D） pattern is proposed to obtain the low sidelobe feature of truncated cone conformal phased arrays. In this method, the elements of truncated cone conformal phased arrays are projected to the tangent plane in one generatrix of the truncated cone. Then two dimensional （2D） Chebyshev amplitude distribution optimization is respectively used in two mutual vertical directions of the tangent plane. According to the location of the elements, the excitation current amplitude distribution of each element on the conformal structure is derived reversely, then the excitation current amplitude is further optimized by using the genetic algorithm （GA）. A truncated cone problem with 8x8 elements on it, and a 3D pattern desired side lobe level （SLL） up to 35 dB, is studied. By using the hybrid method, the optimal goal is accomplished with acceptable CPU time, which indicates that this hybrid method for the low sidelobe synthesis is feasible.

An Efficient Pattern Search Method

Pattern search algorithms is one of most frequently used methods which were designed to solve the derivative-free optimization problems. Such methods get growing need with the development of science, engineering, economy and so on. Inspired by the idea of Hooke and Jeeves, we introduced an integer m in the algorithm which controls the number of steps of iteration update. We mean along the descent direction to allow the algorithm to?go ahead m steps at most to explore whether we can get better solution further. The experiment proved the strategy’s efficiency.

G-G PATTERNING METHOD OF SILK WEAVING IN EARLIER CHINA

There are some unique techniques in the Chinese traditional silk production. 2-2 patterning method is such one suggested by foreign scholars. But this paper gives a more extensive concept, G-G method, which includes the 2-2 method after studying more fabrics from the Shang. to the Five Dynasties. Finally, the paper discusses the truth of G-G method the (?) applied in, and some characteristics of G-G method.

Experimental Research on the Erosion Pattern and Protection Using the Extended Modelling Method

In the paper the extended modelling method with serial sands is used in an experimental research on the erosion patterns at the discharge outlet of a beach Hua-Neng power plant. The theoretical basis for the extended modelling method with serial sands is systematically presented in the paper and the method has been successfully employed in the sediment experiment of coastal works. According to the Froude Law, the model is designed to be a normal one with movable bed, the geometric scale lambda(L) = lambda(H) = 15, and three scales of sediment grain size are chosen, i.e., lambda(d1) = 0.207; lambda(d2) = 0.393; and lambda(d3) = 0.656. The median particle diameter of sea beach prototype sand d(50p) = 0.059 mm and the dis-changed water flow of the power plant is 21.7 m(3) / s. Three types of natural sea sands have been chosen as the serial modelling sands to extend the simulation of the prototype, thus replacing the conventional test in which artificial lightweight sands are used. As a result, this method can not only reduce the cost significantly, but also it is an advanced technique easy to use. Upon a series of tests, satisfactory results have been obtained.

DETERMINATION OF THE FAVORED PATTERN IN NEURAL SPIKE TRAIN WITH MONTE CARLO METHOD AND TEMPLATE METHOD

The modern neuroelectrical physiology indicates that there are certain patterns inneural spike train which appear more frequently than others.These favored patterns(FP)maybe related to the mechanism of neural information processing in central nervous system.Inthis paper,the quantized Monte Carlo method and template method used in favored patternrecognition are described.The Monte Carlo method determines favored patterns or the possiblefavored patterns,while the template method is used for choosing the FP from the candidates andcounting the number of the FP in the spike train.This work will be pursued for extracting theFP in some complicated spike train.

Antenna Array Pattern Synthesis via Coordinate Descent Method

This paper presents an array pattern synthesis algorithm for arbitrary arrays based on coordinate descent method (CDM). With this algorithm, the complex element weights are found to minimize a weighted L2 norm of the difference between desired and achieved pattern. Compared with traditional optimization techniques, CDM is easy to implement and efficient to reach the optimum solutions. Main advantage is the flexibility. CDM is suitable for linear and planar array with arbitrary array elements on arbitrary positions. With this method, we can configure arbitrary beam pattern, which gives it the ability to solve variety of beam forming problem, e.g. focused beam, shaped beam, nulls at arbitrary direction and with arbitrary beam width. CDM is applicable for phase-only and amplitude-only arrays as well, and furthermore, it is a suitable method to treat the problem of array with element failures.

Comparing Eight Computing Algorithms and Four Consensus Methods to Analyze Relationship between Land Use Pattern and Driving Forces

Although many computing algorithms have been developed to analyze the relationship between land use pattern and driving forces (RLPDF), little has been done to assess and reduce the uncertainty of predictions. In this study, we investigated RLPDF based on 1990, 2005 and 2012 datasets at two spatial scales using eight state-of-the-art single computing algorithms and four consensus methods in Jinjing rive catchment in Hunan Province, China. At the entire catchment scale, the mean AUC values were between 0.715 (ANN) and 0.948 (RF) for the single-algorithms, and from 0.764 to 0.962 for the consensus methods. At the subcatchment scale, the mean AUC values between 0.624 (CTA) and 0.972 (RF) for the single-algorithms, and from 0.758 to 0.979 for the consensus methods. At the subcatchment scale, the mean AUC values were between 0.624 (CTA) and 0.972 (RF) for the single-algorithms, and from 0.758 to 0.979 for the consensus methods. The result suggested that among the eight single computing algorithms, RF performed the best overall for woodland and paddy field;consensus method showed higher predictive performance for woodland and paddy field models than the single computing algorithms. We compared the simulation results of the best - and worst-performing algorithms for the entire catchment in 2012, and found that approximately 72.5% of woodland and 72.4% of paddy field had probabilities of occurrence of less than 0.1, and 3.6% of woodland and 14.5% of paddy field had probabilities of occurrence of more than 0.5. In other words, the simulation errors associated with using different computing algorithms can be up to 14.5% if a probability level of 0.5 is set as the threshold. The results of this study showed that the choice of modeling approaches can greatly affect the accuracy of RLPDF prediction. The computing algorithms for specific RLPDF tasks in specific regions have to be localized and optimized.

A NEW METHOD FOR CONSTRUCTING DIGITAL-STRAIN-FIELD-IMAGES FROM MOIRE PATTERNS

A new method for constructing digital-strain-field-image from a moire pattern with the help of digital image processing technique is proposed in this paper. The digital-strain-field-image expresses the strain values directly by its grey levels. The digital-strain-field-image can be obtained by making a differentiation for the digital moire pattern and doing a simple division operation. This image not only gives the visual strain field distribution, but also gives the strain values of every point. This method is simple and applicable and has satisfactory accuracy.

Fault Pattern Recognition based on Kernel Method and Fuzzy C-means

A method about fault identification is proposed to solve the relationship among fault features of large rotating machinery, which is extremely complicated and nonlinear. This paper studies the rotor test-rig and the clustering of data sets and fault pattern recognitions. The present method firstly maps the data from their original space to a high dimensional Kernel space which makes the highly nonlinear data in low-dimensional space become linearly separable in Kernel space. It highlights the differences among the features of the data set. Then fuzzy C-means （FCM） is conducted in the Kernel space. Each data is assigned to the nearest class by computing the distance to the clustering center. Finally, test set is used to judge the results. The convergence rate and clustering accuracy are better than traditional FCM. The study shows that the method is effective for the accuracy of pattern recognition on rotating machinery.

DEVISING THE UP-TO-DATE METHOD PATTERN MAKING OF FEMALE APPAREL WITH RAGLAN SLEEVE

This article aimed to find a new way to transform the graphic image (drawing, photos, etc) to the pattern parameters of female apparel with raglan sleeve. The correlation and regressive analysis were used to the data in order to find the existing laws between them. The practical examinations demonstrated the good predictability of equations established.

伊犁河三角洲水资源条件变化对景观格局演变的影响

在分析1992—2020年伊犁河三角洲水资源条件和定量评估研究期内土地利用变化的基础上,选取景观类型水平和景观水平指数解析景观格局变化特征,采用皮尔逊相关系数分析了水资源条件变化对景观格局指数的影响。结果表明:乌斯热尔玛水文站年径流总体偏大,巴尔喀什湖年平均水位在2002年发生突变,三角洲水资源补给总体处于增加状态;湿地和稀疏植被面积增大且聚集性增强,裸地向稀疏植被转化且优势度不断下降,林地破碎程度剧烈;景观水平指数在时程上呈阶段性变化,2016年伊犁河三角洲破碎化程度最低,在空间上伊犁河沿岸连通性增强,巴尔喀什湖沿岸景观多样性增加;景观水平指数与巴尔喀什湖年平均水位相关性最高,与乌斯热尔玛水文站年径流量的相关性次之,与伊犁河三角洲年降水量的相关性最低,且景观水平指数对三角洲水资源条件变化存在迟滞响应。

深部破碎软岩巷道超前控顶加固及控制爆破技术

随着矿山开采深度逐渐增加,深部破碎围岩工程地质条件转为复杂多变,极大程度上影响巷道等工程施工过程及后续使用安全;为确保深部破碎软岩巷道施工过程中安全及质量,提出了软岩巷道超前控顶加固及控制爆破技术。针对钟九铁矿-550 m水平6号交岔点岩体裂隙极为发育、稳定性差等特点,拟采用超前控顶措施加固顶板围岩,提高深部破碎软岩巷道的承载力。为便于6号交岔点掘进施工,沿6号交岔点东北侧方向划分17个掘进区,并采用“四步”台阶法分段施工。针对同段起爆数码电子雷管,起爆器系统可随机设置单发雷管起爆间隔时间为3~5 ms,实现同段炮孔单孔单响,降低爆破振动对6号交岔点影响。根据不同掘进区总体岩性情况,优化支护方式(管棚支护、W型钢带及锚索支护等联合支护方式等),确保6号交岔点后续使用期安全。试验结果表明:采用超前控顶加固、控制分区爆破技术,降低破碎软岩巷道顶板偏帮、下沉,保证6号交岔点断面成型效果,削减其支护、后期维护等综合成本达8.7%,该技术可为类似巷道施工提供一定指导建议。

基于形状文法的金秀瑶族服饰纹样在文创女包中的设计应用

为挖掘金秀瑶族服饰纹样在女包设计中的应用与创新,实现民族文化与文创产品的交流融合,结合形状文法对金秀瑶族的服饰纹样进行深入探讨。首先,通过实地考察,并选择具有代表性的金秀瑶族服饰纹样,根据其艺术特征进行归类,并从中提取造型要素,构建出初始纹样的素材库;其次,应用形状文法推演规则,使初始纹样经过演化和转换并生成新纹样,遵循现代设计手段将其应用于女包中;最后,采用模糊综合评价法对设计方案进行评价,选出最佳设计方案。验证了金秀瑶族服饰纹样在文创女包设计中的可行性,同时也为民族风格的文创产品设计提供了更加客观的设计方法,也对传承和创新金秀瑶族传统文化具有意义。

猪流行性腹泻病毒变异毒株一步法RT-PCR鉴别检测方法的建立及临床应用

为了建立一种快速鉴别检测猪流行性腹泻病毒(PEDV)变异毒株的病原学方法和掌握洛阳市PEDV变异毒株的流行规律,试验根据GenBank中PEDV变异毒株的特异性序列设计引物,通过优化退火温度、模板添加量、引物添加量建立PEDV变异毒株一步法RT-PCR鉴别检测方法,并分析了该方法的特异性、敏感性和重复性;同时应用该方法检测采集自洛阳市的251份临床样品,并对不同地区、不同年份、不同养殖模式的检测结果进行比较分析。结果表明:优化后的退火温度为51℃,模板添加量为5μL,引物添加量为0.5μL;该方法对PEDV变异毒株能够扩增出550 bp特异性条带,而检测的PEDV经典毒株、猪传染性胃肠炎病毒(TGEV)、猪轮状病毒(RV)、猪繁殖与呼吸综合征病毒(PRRSV)、猪瘟病毒(CSFV)、猪细小病毒(PPV)、猪伪狂犬病病毒(PRV)、猪圆环病毒2型(PCV-2)均为阴性;对PEDV变异毒株RNA的最低检测限达到0.74 ng,对3份PEDV变异毒株阳性病料和3份PEDV变异毒株阴性病料重复检测3次的结果完全一致;检测采集于洛阳市251份临床样品的平均阳性率为29.48%,其中不同地区阳性率介于13.33%~44.44%之间,2018—2022年阳性率介于28.30%~31.58%之间,散养户和规模化猪场的阳性率分别为38.24%和19.13%。说明试验建立的PEDV变异毒株一步法RT-PCR鉴别检测方法特异、敏感、稳定、准确,洛阳市PEDV变异毒株的流行特点为个别地区较严重的情况、近几年流行率基本持平、散养户流行情况较规模化猪场严重。

我国旅游消费现代化时空特征及影响因素分析

文章界定了旅游消费现代化的概念并构建其评价指标体系。利用CRITIC法计算了2011~2019年31个省市区旅游消费现代化指数,分析其时空分布格局及其影响因素。结果表明:(1)大部分省市区旅游消费现代化指数呈逐年上升的时间趋势,发展不平衡程度存在微弱的上升趋势;(2)旅游消费现代化存在区域异质,东部发展较好,中部和东北呈波动上升趋势,西部呈波动变化趋势;(3)旅游消费现代化水平存在空间正自相关,且程度呈增强的态势,集聚效果愈发显著。多数省市区旅游消费现代化属于低-低正自相关的集聚类型,且此类型的省市区逐年增加。(4)经济发展水平、人口、数字化、科技创新、政府干预均对旅游消费现代化有显著的正向影响。

三角形布置圆柱体群绕流特性与流动机理研究

基于浸没边界-多松弛-格子玻尔兹曼方法,对Re=100时等边三角形布置三圆柱体群绕流问题进行数值模拟,分析间距比(Kd)与来流角度(α)两个关键参数对流体力系数及流场特性的影响,揭示其流动机理。计算结果表明:不同流场下尾流模式分为单漩涡、单漩涡体向双漩涡过渡、不规则的双漩涡、规则的双漩涡、双漩涡向三漩涡过渡、不规则的三漩涡和规则的三漩涡模式,在α=30°时流场下游涡街更加规则,尾流模式转变更快。三圆柱所受的时均流体力系数受间隙流流速影响较大,各来流角度下随间距比(除小间距比外)的变化趋势基本一致,尾流模式转变会导致三圆柱群的流体力系数均方根值发生显著变化,在Kd≥3.5后上游圆柱流体力系数均方根值有较大起伏。除α=0°工况外,在Kd≥2.5后中游圆柱的涡脱落频率受α和Kd影响较小,数值相对稳定。

天山北坡经济带城乡聚落格局变化与影响因素分析

以天山北坡经济带城乡聚落为研究对象,采用景观格局指数、地理信息系统(GIS)空间分析、位序-规模法等分析1980-2020年间城乡聚落格局的变化,结合地理探测器从自然、区位及社会经济因素探究城乡聚落格局的影响因素。结果表明:1980-2020年间,城乡聚落数量、规模持续扩张且趋于集聚,前20 a扩张以耕地、草地为主,后20 a以未利用地为主;城乡聚落密度变化显著,高密度区主要集中在各绿洲呈现“多核集中分布”特征,中密度区沿高密度区周围扩张,低密度区沿绿洲边缘分布并在非绿洲区有扩张;首位聚落规模发展较好,趋于位序-规模曲线,中型聚落略微发育,小型聚落数量持续减少;交通等区位因素是天山北坡城乡聚落格局的首位影响因素,社会经济因素次之,自然地理因素影响较小,各影响因素差异显著。

生成式AI在民族纹样设计中的实验研究

基于生成式人工智能(AI)的民族纹样设计实验研究,旨在为艺术设计师拓展纹样设计方法,促进纹样艺术的传承与发展。优选Stable Diffusion和触手AI两种AI生成技术进行实验与比较,采用定性与定量相结合的分析方法对实验结果进行综合评价。实验结果表明,Stable Diffusion生成的纹样能较好地传承民族纹样的基因,艺术性与创造性兼具,符合民族纹样的艺术设计需求,但图像质量较低;触手AI生成的纹样创新性较好、图像质量高,但容易偏离原始纹样,不能满足艺术设计的内容需求。实验有助于生成式AI深度应用在民族纹样等传统纹样设计中,推动传统纹样的现代设计转化。

基于熵权—突变级数法的中国省域营商环境评价研究

营商环境是省域竞争力和影响力的重要体现,优化营商环境是驱动经济高质量发展的重要法宝。基于政务环境、法治环境、公共环境、市场环境四个维度,构建我国省域营商环境评价指标体系,并尝试纳入“数字政府”新指标。基于熵权—突变级数法,对我国31个省域的营商环境实践工作进行系统评价。研究结果表明,我国省域营商环境发展水平呈现层次化特征,在整体指标与分项指标方面均存在较大发展差距,且区域层面呈现出东部地区最优、中部和东北地区次之、西部地区最为落后的空间分布特征。根据研究结论提出优化我国省域营商环境的对策建议:加强各省市协同顶层设计,完善沟通协调机制;从公共环境、法治环境及政务环境等入手改善营商环境;重视以“标准化”促进“平衡化”发展;积极推动以评促建、以评促改。