A Method of Rotating Machinery Fault Diagnosis Based on the Close Degree of Information Entropy

This paper presents a method of rotating machinery fault diagnosis based on the close degree of information entropy. In the view of the information entropy, we introduce four information entropy features of the rotating machinery, which describe the vibration condition of the machinery. The four features are, respectively, denominated as singular spectrum entropy, power spectrum entropy, wavelet space state feature entropy and wavelet power spectrum entropy. The value scopes of the four information entropy features of the rotating machinery in some typical fault conditions are gained by experiments, which can be acted as the standard features of fault diagnosis. According to the principle of the shorter distance between the more similar models, the decision-making method based on the close degree of information entropy is put forward to deal with the recognition of fault patterns. We demonstrate the effectiveness of this approach in an instance involving the fault pattern recognition of some rotating machinery.

Research on Industrial Relevance Degree and Industrial Financial Situation Risk Matrix Construction——Based on Chinese Information Technology Industry

Based on Input-Output Table in 2010 issued by National Bureau of Statistics of China, with the help of input-output model and with the calculation of indexes of industrial relevance degree in Chinese information technology industry, the paper reveals the industrial relevance in Chinese information technology industry. The paper also selects the relevant industries which are highly associated with the development of Chinese information technology industry based on industrial relevance degree to analyze the influences of these industries on the financial situation risk fluctuation in information technology industry and to design the matrix of financial situation risk in information technology industry. Then, the paper offers countermeasures and suggestions for the development of our information technology industry.

TARGET INFORMATION DIFFERENTIATING TECHNOLOGY IN INFRARED-RADAR DUAL-MODE GUIDANCE SYSTEM

An improved target tracking information differentiating system using the neural network to substitute for fuzzy rules is presented for the infrared-radar dual-mode guidance system. Since the neural network training based on the expert knowledge database is conducted off-line, the benefits for developing real-time tracking capabilities can be obtained. The network outputs the confidence degree denoted by the weight value of target information in the data fusion center according to two input variables of the measurement noise covariance and the tracking filter covariance. Simulation results show that the improved system can differentiate the target tracking information from the seeker fast and accurately.

Ranking grey numbers based on dominance grey degrees

With respect to the decision making problems where a lot of fuzzy and grey information always exists in the real-life decision making information system methods as fuzzy mathematics, it is difficult for such uncertainty probability, and interval numbers to deal with. To this end, based on the thought and method of grey numbers, grey degrees and interval numbers, the concept of dominance grey degree is defined. And then a method of ranking interval grey numbers based on the dominance grey degree is proposed. After discussing the relevant properties, the paper finally uses an example to demonstrate the effectiveness and applicability of the model. The result shows that the proposed model can more accurately describe uncertainty decision making problems, and realize the total ordering process for multiple-attribute decision-making problems.

Grey information coverage interaction relational decision making and its application

This study aims to reflect the information coverage grey number and the interaction between attributes in grey relational decision making. Therefore, a multi-attribute decision method based on the grey information coverage interaction relational degree(GIRD) is proposed. Firstly, this paper defines the information coverage grey number, and establishes the GIRD model by using the Choquet fuzzy integral and grey relational principle. It proves that the proposed model not only is the general and unified form of the point relational degree, interval relational degree, mixed relational degree and grey fuzzy integral relational degree, but also can effectively deal with the interaction between attributes. Further,a decision making example of evaluating the industrial operation quality for 14 cities in Hunan province of China is provided to highlight the implementation, availability, and feasibility of the proposed decision model.

Remote Sense and GIS-Based Division of Landslide Hazard Degree in Wanzhou District of the Three Gorges Reservoir Area

An evaluation model divided landslide hazard degrees in Wanzhou District of Three Gorges Reservoir Area. The model was established by GIS techniques and took land use/cover, stratum characters, slope aspect, slope gradient, elevation difference and slope shape as evaluation factors. The data of land use/cover were obtained by remote sensing, and the weights of the factors mentioned above were established by the analytic hierarchy process （AHP）. The results indicate, low danger areas in the studied area account for 66.51%, and high danger areas and very high danger areas occupy 1/3 of the total area. The regions of high and very high danger are mainly located around the urban area of Wanzhou District and on the banks of the Yangtze River with a relatively large area, where collapse and landslide directly threats densely populated areas and Three Gorges Reservoir. Slope destabilization, if occurs, will bring huge loss to social economy. All research results are consistent with the actual conditions; therefore, they can be regarded as a useful basis for planning and constructing of the reservoir area.

Information diffusion on adaptive network

Based on the adaptive network, the feedback mechanism and interplay between the network topology and the diffusive process of information are studied. The results reveal that the adaptation of network topology can drive systems into the scale-free one with the assortative or disassortative degree correlations, and the hierarchical clustering. Meanwhile, the processes of the information diffusion are extremely speeded up by the adaptive changes of network topology.

Analysis of BIM application relationship with integration degree of construction environment

As the world pays more attention to low-earbon and sustainable development,there's a growing trend in architecture,engineering and construction fields to construct greener,more energy efficient and more sustainable buildings with the help of building information modeling(BIM).As BIM application becomes popular in industry,more and more scholars and engineers point out that an integrated construction environment is better for BIM's fully functional capability.This paper illustrates the relationship between BIM application and an integrated construction environment based on case survey data.It is found that even though an integration construction environment is not necessary in BIM application,the statistical results showed that DBB(design-bid-build)and CM(construction management)modes have great differences in BIM's application implementation scope and implementation deepness,while DB and CM modes do not.

Attribute Reduction in Interval and Set-Valued Decision Information Systems

In many practical situation, some of the attribute values for an object may be interval and set-valued. This paper introduces the interval and set-valued information systems and decision systems. According to the semantic relation of attribute values, interval and set-valued information systems can be classified into two categories: disjunctive (Type 1) and conjunctive (Type 2) systems. In this paper, we mainly focus on semantic interpretation of Type 1. Then, we define a new fuzzy preference relation and construct a fuzzy rough set model for interval and set-valued information systems. Moreover, based on the new fuzzy preference relation, the concepts of the significance measure of condition attributes and the relative significance measure of condition attributes are given in interval and set-valued decision information systems by the introduction of fuzzy positive region and the dependency degree. And on this basis, a heuristic algorithm for calculating fuzzy positive region reduction in interval and set-valued decision information systems is given. Finally, we give an illustrative example to substantiate the theoretical arguments. The results will help us to gain much more insights into the meaning of fuzzy rough set theory. Furthermore, it has provided a new perspective to study the attribute reduction problem in decision systems.

On Normalization of Comprehensive Evaluation System with Complex Uncertain Information

This paper systematically proposes basic requirements on normalization of comprehensive evaluation system with complex uncertain information due to human participation. Four basic academic ideas are as follows: 1) It is necessary to normalize conditions of information acquisition. 2) The effectiveness of comprehensive evaluation depends on the correctness of information acquisition. 3) Any evaluation results can be transformed into linguistic satisfactory degrees. 4) Linguistic values can include a great deal of information. This paper mainly deals with how to select objects to be evaluated, evaluators (panelists) and the methods of information processing, how to construct criteria of evaluation, how to normalize terms of evaluation, the results of evaluation, and the procedure of evaluation.

Exploration of Digital Transformation Schema for Professional Degree Postgraduate Training

Professional degree postgraduate education is the strategic focus of the reform and development of postgraduate education in China, and the digital transformation of education is also the strategic theme of the reform and development of education in China. This paper analyzes the current situation of informatization of professional degree postgraduate training in China, and puts forward the construction scheme of digital comprehensive service platform for professional degree postgraduate education and teaching based on the actual situation of China University of Geosciences (Beijing). It focuses on three aspects: postgraduate education information management, intelligent online teaching and teachers’ digital literacy improvement. The article also discusses the significance of the digital ecology of the education industry and the entire country for the evaluation of the cultivation of professional degree postgraduates in colleges and universities.

战略差异度、技术创新与企业全要素生产率——来自A股上市公司的经验证据

战略差异度对企业的影响是学术界关注的重要问题,而企业能否通过加大战略差异度进而提升全要素生产率为研究企业战略决策方面提供了不同的切入点。采用2009-2020年沪深A股上市公司的数据样本,实证检验了战略差异度对企业全要素生产率的影响。研究结果表明,战略差异度对企业全要素生产率起到显著的正向作用,技术创新在战略差异度影响企业全要素生产率的传导路径上存在中介效应。进一步研究发现,高行业竞争水平、高信息透明度和低融资约束企业的战略差异度越大对全要素生产率的正向作用越显著。研究丰富了全要素生产率的相关文献,并为其提供了研究的新视角。同时有助于企业利益相关者理解战略决策的经济后果,对指导和促进企业进行战略变革及获取竞争优势提供理论参考。

图书情报硕士专业学位(MLIS)教育发展状况调查报告(2023)

[目的/意义]全面、客观地反映我国MLIS教育在2023年的状况和发展变化。[研究设计/方法]采用调查问卷收集MLIS培养单位师资、招生、教育培养、就业等方面的数据,通过统计描述和对比反映现状,揭示发展变化。[结论/发现]我国MLIS教育稳健发展。具体表现为:师资队伍稳定增长,招生规模不断扩大,培养特色鲜明,毕业生就业状况良好,各培养单位的课程设置、教育资源建设和培养过程管理日益规范。[创新/价值]连续11年发布MLIS教育发展状况调查报告,为学位和教育管理部门以及各培养单位决策提供支持。

新一代电子信息技术专业学位研究生培养模式创新与实践

该文首先梳理专业学位研究生培养模式的现状,分析当前专业学位研究生教育中存在的问题。随后,以东北林业大学新一代电子信息技术专业学位研究生人才培养模式为背景,介绍产教融合的培养模式创新性探索。该创新举措旨在使学生能够更好地适应快速变化的行业需求,培养学生的创新思维和实践能力。

地方高校电子信息专业学位硕士培养影响因素及对策探讨

电子信息专业技术人才在国家战略和区域经济发展中发挥着重要的作用。在对河南省电子信息专业学位硕士研究生招生的15所高校调研基础之上,该文分析电子信息专业学位硕士培养的影响因素,包括专业涉及多个学科领域、培养需要多个主体共同参与、管理采用静态的质量评价、教学缺乏思想政治元素融入。接着,该文依据国家政策探讨相应的改革对策,包括开展跨学科交叉融合培养、构建多主体协同育人机制、健全分层多维质量保障体系、推进专业课程与思政教育融合。通过研究,以期为电子信息专业学位研究生培养的高质量发展提供参考。

交易者有限理性、信息噪声关系与金融市场信息效率

基于包含三类交易者的单资产两期定价模型,从交易者有限理性、信息与噪声关系角度研究了金融市场对信息反应的动态机理及信息效率。结果发现:信息公开程度与其市场贡献度呈倒U型关系。在交易者有限理性条件下,当信息公开程度较低时,信息反应不足时的信息市场贡献度大于适度和过度反应,当市场信息公开程度较高时,信息反应不足和过度的市场贡献度均小于信息反应适度时的市场贡献度;信息与噪声之间的负相关关系会使信息市场贡献度降低。两个条件均存在的情况下,信息市场贡献度的降低幅度会出现叠加效应。最后,应用中国股票市场的案例验证了本文所得结论的正确性。本文从理论上解释了投资者非理性及噪声降低市场信息效率的原因,也解释了市场中一些现象产生(如信息反应不足的市场效率高于反应过度)的机理,为政策制定者提高市场信息效率提供了参考建议。

基于特征聚类驾驶员服从度跟驰模型参数标定

服从度是指网联车驾驶员在跟驰过程中对前车传递的信息服从程度。现有的服从度划分方法无法满足精确标定跟驰模型参数的要求。提出了一种基于真实轨迹数据特征聚类精确划服从度的方法。首先,提取真实轨迹数据中与服从度相关的5类特征,设计基于离群点递归筛除的Kmeans++算法进行精确特征聚类,将服从度分为三类(高、一般、低);然后将前景理论效用函引入IDM模型,构建考虑服从度的改进IDM模型;最后将聚类后的轨迹数据按照2:1比例划分参数标定与验证数据集,分别对不同服从度的改进IDM模型与常用IDM模型进行标定与验证。使用车头间距相对均方根误差(RMSPE)作为参数标定与结果验证的误差量化指标。结果表明:高服从度-IDM模型、一般服从度-IDM模型与低服从度-IDM模型在参数标定与结果验证中RMSPE均值分别为:18.2%,21.9%,24.1%和23.2%,26.8%,28.1%,均低于IDM模型两个阶段RMSPE均值:29.7%和32.2%。说明上述分类方法满足精确划分服从度与标定改进跟驰模型参数的要求。

碳信息披露质量与公司治理耦合协调对能源企业价值的影响

利用熵权法、主成分分析法和耦合协调模型分别测算2012—2021年国内能源上市公司的碳信息披露质量、公司治理综合指数和二者的耦合协调度,同时探究其对能源企业价值的影响。研究表明:能源企业碳信息披露质量与公司治理耦合协调度对企业价值有显著的正向促进作用。通过分组回归发现,公司治理水平高的企业碳信息披露质量与公司治理耦合协调度对企业价值的影响更为显著。