Visual Evaluation of Matching Degree between Fisherman Hat and Female Face

By the means of visual evaluation,the matching degree of nine types of fisherman hats and seven face shapes was studied.The characteristics of hats and faces were parameterized,and the images in which seven kinds of faces wore different fisherman hats were processed by Photoshop gray levels.Through a random questionnaire,descriptive analysis,and mean and dispersion analysis,the recommendation table of fisherman hats for different female faces was obtained,and the highly preferred and matching degree types of fisherman hats were obtained.It not only provides reference for virtual hat tests,but also gives references for parameterized hat designs from the collocation aesthetic viewpoint.

Study on the Matching Degree between Essential Drug List and the Provisions on Drug Coverage in Tertiary Hospitals

Objective To study the relationship between essential drug list and the provisions on the drug coverage in tertiary hospitals,and put forward the corresponding countermeasures and suggestions for the adjustment of essential drug list and the improvement of relevant policies.Methods Expert consultation and statistical methods were used to classify the drugs in the list of essential drugs according to different diseases.Besides,the matching degree of basic drug allocation and prescription policy was analyzed.Results and Conclusion Among the 685 drugs in the national essential drug list of 2018 edition,453 drugs were used to treat minor illness,accounting for 66.1%of the total number of essential drug list.232 drugs were for serious illness or fatal illness,accounting for 33.9%of the total number of essential drug list.The current essential drug list does not match the national requirements for drug plan coverage in tertiary hospitals,which needs further adjustment and improvement.

Profile Matching in Electronic Social Networks Using a Matching Measure for Fuzzy Numerical Attributes and Fields of Interests

The problem of profile matching in electronic social networks asks to find those offering profiles of actors in the network fitting best to a given search profile. In this article this problem is mathematically formulated as an optimization problem. For this purpose the underlying search space and the objective function are defined precisely. In particular, data structures of search and offering profiles are proposed, as well as a function measuring the matching of the attributes of a search profile with the corresponding attributes of an offering profile. This objective function, given in Equation (29), is composed of the partial matching degrees for numerical attributes, discrete non-numerical attributes, and fields of interests, respectively. For the matching degree of numerical profile attributes a fuzzy value approach is presented, see Equation (22), whereas for the matching degree of fields of interest a new measure function is introduced in Equation (26). The resulting algorithm is illustrated by a concrete example. It not only is applicable to electronic social networks but also could be adapted for resource discovery in grid computation or in matchmaking energy demand and supply in electrical power systems and smart grids, especially to efficiently integrate renewable energy resources.

Approach of fault diagnosis based on similarity degree matching distance function

A new diagnosis method based on the similarity degree matching distance function is proposed.This method solves the problem that the traditional fault diagnosis methods based on transition system model cannot deal with the"special state"which cannot match the target states completely.For evaluating the relationship between the observation and the target states,this paper first defines a new distance function based on the viewpoint of energy to measure the distance between two attribute values.After that,all the distances of the attributes in the state vector are used to synthesize the distance between two states.For calculating the similarity degree between two states,a trend evaluation method is developed.It analyzes the main direction of the trend of the state transfer according to the distances between the observation and each target state and their historical records.Applying the diagnosis method to a primary power subsystem of a satellite,the simulation result shows that it is effective.

A novel fault section locating method based on distance matching degree in distribution network

Fault section location of a single-phase grounding fault is affected by the neutral grounding mode of the system, transition resistance, and the blind zone. A fault section locating method based on an amplitude feature and an intelligent distance algorithm is proposed to eliminate the influence of the above factors. By analyzing and comparing the amplitude characteristics of the zero-sequence current transient components at both ends of the healthy section and the faulty section, a distance algorithm with strong abnormal data immune capability is introduced in this paper. The matching degree of the amplitude characteristics at both ends of the feeder section are used as the criterion and by comparing with the set threshold, the faulty section is effectively determined. Finally, simulations using Matlab/Simulink and PSCAD/EMTDC show that the proposed section locating method can locate the faulty section accurately, and is not affected by grounding mode, grounding resistance, or the blind zone.

Spectral Match Optimization Based on Grey Relational Analysis

A spectral match optimization based on grey incidence matrix was put forward to evaluate camouflage painting design.A synthetic degree of incidence (SDI) was defined to comprehensively reflect the spectrum similarity based on theory of grey incidence analysis.A grey optimization model for camouflage painting sheme was constructed on the basis of SDI and grey incidence matrix.Its weight values were determined according to area percentages of all components in the camouflage scene,and a quantitative ordering for various schemes could be obtained according to the evaluation coefficients.Experiment results show that the method mentioned in this paper can provide a quantitative basis for the camouflage decision-making,and it can also be used in other camouflage scheme selection.

我国城市工业用水效率与经济发展水平的秩匹配度原理及特征解析

对现有基于数列的匹配度指标进行改进,提出了秩匹配度概念和计算方法,将匹配度内涵拓展为欠匹配、匹配、过匹配3种状态及高、中、低匹配3个层次,以更加全面地反映特征指标与影响因素的相对发展水平与匹配状况。采用秩匹配度分析了全国336个城市2017年工业用水效率与经济发展水平的匹配特征,结果表明:我国工业用水效率与经济发展水平呈匹配状态的城市占比为28.27%,全国各区域均有分布;高层次匹配的城市主要分布在北方地区,低层次匹配的城市主要分布于鄂、闽、桂等南方地区;呈过匹配状态的城市占比为36.31%,主要分布于华北、西北地区;呈欠匹配状态的城市占比为35.42%,主要分布在华中、东南等经济较发达、水资源较丰富的地区。

经济欠发达地区职业技能人才供给与需求协调状况分析——以甘肃省为例

职业教育作为欠发达地区技能人才培养的基石,把握专业设置和技能人才供给与需求匹配成为各方关注的焦点。通过测算甘肃职业技能人才供需匹配度发现,多数专业供需不协调,专业供不应求,专业设置和市场脱钩,专业更新慢等状况明显。由此提出以市场为导向的优化甘肃职业教育专业设置方向。提出欠发达地区在政府层面做好现代职业教育规划、放松专业设置权限、鼓励校企合作、加快职业教育专业教师队伍建设、构建科学的质量评价制度,在职业院校层面把握为地方经济、社会发展服务的宗旨,探索实施“订单式”技能人才培养模式,建立技能人才培训基地等对策建议。

基于特征匹配度与异类子模型融合的安全性评估方法

机器学习模型的好坏影响预测精度、输入与输出结果的拟合情况。在复杂系统中,使用单一模型评估系统安全性问题时容易受数据量、数据格式、模型结构以及环境干扰等因素影响,使得这个模型在解决某个问题的能力上比较出色,而在解决其他问题时,结果却不尽如人意。针对上述问题,提出一种基于特征匹配度和异类子模型融合的安全性评估方法。首先,按照采样数据的输出值划分不同规模的数据集并构建子模型;其次,通过计算每个新数据对于这些子模型的匹配度,进而得到每个子模型的权重;最后,根据权重大小融合所有子模型的子输出得到最终的多模型融合结果。所提方法对山东省济宁市霄云煤矿采掘数据集进行研究,实验结果表明,该方法与多样本单模型、少样本单模型和传统多模型方法相比,在以330/70的比例来构建子模型的情况下均方根误差(RMSE)分别降低了15.13%、51.67%和12.46%,该方法充分集成各子模型所能提供的有效信息,减少和分散单一模型的预测误差,以提高模型的预测精度和泛化能力。

企业自播电商模式下企业与主播的双边匹配博弈研究

提高企业与主播的匹配度是增强双方满意度和效益的关键一步。以第三方直播平台为双边平台建立匹配博弈模型,运用Borda分值测算匹配度,考虑异质属性、满意度、稳定性等相关条件对匹配过程的影响建立效益最大化双边匹配模型,分析两企业均衡产量及主播的最优直播努力水平,探讨企业异质性系数和主播直播努力水平对匹配效益的影响。研究发现:以效益最大化为目标函数的双边匹配博弈模型更加符合企业实际情况;企业异质性系数对双方效益存在正向影响;在较高的直播努力水平下,企业和主播的收益随直播努力水平的升高而降低;最优直播努力水平与企业异质性系数存在相关性,且随企业异质性系数的增加而提高;市场规模在主播直播努力程度对销量和效益的影响过程中存在调节作用。因此,直播平台应综合考虑市场规模、主播直播努力水平及企业异质性系数对匹配过程的影响,与差异化企业进行合作。主播要根据市场规模及企业异质性系数及时调整努力水平。企业要制定差异化产品策略,提高产品核心竞争力以维持市场份额,培训个性化主播,赋予产品内涵,使其产品信息具备鲜明特色。

平台经济对灵活就业者收入和主观福利的影响研究

平台经济的兴起,引发了人们对灵活就业者收入和主观福利的关注。本文基于2012—2018年中国劳动力动态调查数据库,分析平台经济对灵活就业者收入和主观福利的影响及其机制。研究结果表明,平台经济能够提高灵活就业者收入和主观福利,并且该结论在考虑内生性问题及各种稳健性检验后依然成立。进一步分析结果表明,平台经济通过提高就业匹配度和社会资本的途径实现灵活就业者收入和主观福利的提升;文化程度能够调节平台经济对灵活就业者收入和主观福利的影响;相对于灵活就业者而言,平台经济对正规就业者主观福利的影响效应更大,但对其收入并无显著影响。异质性分析结果显示,平台经济对灵活就业者中的青年、男性、文化程度较高、城镇户口、东部地区个体的收入和主观福利的提升效应明显。因此,政府应加强对特殊群体的技能培训,提供职业转型支持和必要的社会保障,以促进平台经济持续健康发展,进一步提升灵活就业者收入和主观福利。

基于磁耦合谐振的多自由度电机无线电能传输

针对多自由度电机无线电能传输中传输效率较低的问题,提出基于磁耦合谐振的多自由度电机无线电能传输方法。该方法根据共振原理构建磁耦合谐振式无线电能传输模型,通过反射系数描述阻抗匹配状态,获取最佳负载阻抗;采用混沌优化算法优化电机线圈损耗率,实现多自由度电机无线电能传输优化。实验结果表明,应用该方法后,多自由度电机的电能输出功率达到了893 W,传输效率提升了0.10以上,提高了电能输出功率和传输效率,方法有效,具备可行性。

教师评语与学生群体适应性的实验研究--以一年级大学英语课程教学为例

文章以形成性评价为理论依据,以浙江万里学院一年级2个班的大学英语课程为例,探索大学英语课程教学中形成性评价的教师评语在学生各群体的匹配度,发现评语对学生成绩的影响度及其对不同性别和层次学生的影响差异,进一步增强学生的学习动力并最终提升教师的教学效果和学生的学习效率。实验表明,评语对学生成绩有显著影响,且在不同性别和不同水平的学生群体中产生的影响存在一定差异。最后,文章提出了形成性评价中教师认识和执行原则的若干建议。

基于“人口—产业—治理”匹配度测算的我国城镇化空间优化策略探讨

随着我国城镇化进入中后期,城镇化空间发展要素不匹配、不协调的特征持续凸显。面对由此引发的各类问题,党的十八大以来,我国政府连续出台两轮新型城镇化规划,从系统视角提出了人口、产业、治理等要素协同配合的城镇化空间政策,为破解新时期城镇化面临的矛盾问题指明了方向。为推动城镇化空间政策的有序实施、优化提升城镇化各维度要素的协同发展,利用2020年“七普”全国297个地级及以上城市的统计数据构建指标体系,基于耦合协调度模型,测度城镇化与人口、产业、治理各维度的耦合协调水平,分析城镇化“人口—产业—治理”空间匹配度格局,识别发现我国现有城镇化空间匹配度格局呈现治理匹配度相对偏低、区域协调性有待增强、高匹配度新发展通道逐步形成、中小城市匹配度亟待提高。在此基础上,从坚持政策系统性、巩固完善总体空间布局、保障规模政策高效实施、强化特殊地区的针对性政策供给、建立政策动态调控机制等方面提出优化和推进城镇化空间政策实施的策略建议。

基于Levenshtein距离和时间切面的拓扑识别算法研究

低压配电网拓扑缺乏维护,准确度低,难以支撑各种高级应用的实现。为此,文章提出一种基于Levenshtein距离和时间切面的拓扑识别算法。首先分析配电网拓扑架构,提出使用电流事件特征进行拓扑识别研究。其次描述了电流事件的提取方法,使用改进滑动窗的累积和(cumulative sum control chart,CUSUM)事件检测算法进行电流事件提取。接着描述了采用Levenshtein距离算法和时间切面方法对箱变电流序列和用户表箱采集设备电流序列进行比对,提出使用序列匹配度描述台区户变拓扑的相关程度。最后基于现场台区数据进行计算分析,验证了该方法的可行性和准确性。

高强钢板组合单边螺栓抗剪性能试验

为研究高强钢板组合单边螺栓抗剪承载力和破坏机理,本文对29个试件进行试验研究。钢材选用Q345B和Q460C,高强螺栓选用10.9级和12.9级2种等级和M20、M24、M27、M30、M33这5种规格。试验显示出螺杆剪断和钢板破坏2种破坏模式。结果表明:螺栓预拉力对极限抗剪承载力影响较小而对峰值位移影响较大,钢板破坏时,有预拉力试件的峰值位移比无预拉力反而增加40%。本文试验范围内,12.9级螺栓与Q460C匹配时,抗剪承载力最优,充分的发挥高强钢材的强度,与Q345B匹配时,变形能力较好;10.9级螺栓与Q460C匹配时峰值位移最小,与Q345B匹配时,抗剪承载力最低;抗剪承载力与端距呈正相关。钢板组合单边螺栓连接梁柱节点时,其端距仍可采用标准规定的最小端距进行设计计算。建议螺栓抗剪强度设计值f_(v)^(b)取螺栓最小抗拉强度f_(u)^(b)的0.40倍。

师范生兴趣—专业匹配度与从教意向的关系——专业承诺和职业认同的链式中介作用

为探究兴趣—专业匹配度对师范生从教意向的影响机制,采用问卷法对887名师范生进行调查。结果发现:兴趣—专业匹配度、从教意向、专业承诺和职业认同两两显著正相关;职业认同在兴趣—专业匹配度与从教意向之间发挥部分中介作用,专业承诺→职业认同也在二者之间起链式中介作用。基于研究结论,研究建议从有效选择专业、提升专业承诺、加强职业认同等方面促进师范生从教意向。

金融科技对小微企业的信贷需求影响研究

小微企业的融资需求满足离不开商业银行的精准信贷支持,但是既有研究较少从金融科技视角关注两者的匹配情况。基于全国5个省份(自治区)508份银行样本和2148份小微企业样本数据,对银企信贷供求匹配度进行测量,并在此基础上构建了金融科技应用、创新水平、银企信用共识度、金融监管和银企信贷供求匹配度之间关系的理论模型。实证分析结果表明:金融科技应用正向影响银企信贷供求匹配度;创新水平和银企信用共识度在其中起部分中介作用;金融监管不仅负向调节金融科技应用与创新水平之间的关系,还负向调节金融科技应用对银企信贷供求匹配度的作用路径。研究结论丰富和拓展了银企信贷供求匹配度的测量及影响因素的相关研究,为促进金融科技缓解小微企业融资难提供了科学决策依据。

高校科技成果转化与高新技术产业需求耦合匹配性

构建江苏高校科技成果转化评价指标体系与高新技术产业发展水平评价指标体系。基于江苏省2018—2021年的相关数据,通过熵权法、耦合评价模型计算江苏省高校科技成果转化系统与高新技术产业发展水平系统的耦合综合值、耦合关联度与耦合协调度。研究发现,江苏省高校科技成果转化与高新技术产业发展水平耦合关联度较高,但耦合协调度差异较大;江苏省高校科技成果产出与高新技术产业需求匹配度逐渐增高。

地方政府债务治理对企业操纵杠杆率的影响及作用机制

随着我国地方政府债务规模不断扩大,地方政府债务治理势在必行。文章以国务院2014年9月发布的43号文件为准自然实验,采用DID、PSM-DID等方法,检验地方政府债务治理对企业操纵杠杆率的影响及作用机制。研究结果表明:地方政府债务治理通过企业融资约束和企业融资成本渠道促进了企业操纵杠杆率的动机,机制检验结果表明存在部分中介效应。异质性分析发现地方政府债务治理对国有企业、资产规模小和东部地区的企业作用更为显著。拓展研究表明,企业操纵杠杆率提升会促进企业营业利润和长期投资增长。