Robot Framework自动化框架在集散控制系统测试中的应用

提出了应用Robot Framework自动化测试框架进行集散控制系统嵌入式软件自动化测试的方法。首先分析了控制系统产品嵌入式软件测试的特点,引进基于Python设计的Robot Framework自动化测试框架,探讨如何编写资源库进行控制系统产品嵌入式软件的自动化测试。最后介绍了如何通过该平台进行控制系统报警模块长期运行稳定性自动化测试,结果表明自动化测试的可行性。     

JSP嵌套SQL Server Reporting Services报表

针对传统物流行业报表的制作、呈现、管理都是由报表业务人员进行操作,不能及时的将报表呈现的数据信息反馈给决策者,导致信息的延误。通过对JSP以及SQL Server Reporting Service（SSRS）的分析介绍,提出把SSRS报表嵌套在JSP中,加入到网络物流系统操作平台。基于SQL Server 2008 R2数据库以及Spring MVC框架,运用Spring注解方式与JSP技术进行系统开发,直接将SSRS报表嵌套在JSP页面供决策者分析。结果表明,JSP页面可以嵌套带有参数要求的SSRS报表,并且可以准确的读取操作SSRS报表,获得满意的嵌套效果。     

Downscaling of the flood discharge in a probabilistic framework

Many modeled and observed data are in coarse resolution, which are required to be downscaled. This study develops a probabilistic method to downscale 3-hourly runoff to hourly resolution. Hourly data recorded at the Poldokhtar Stream gauge (Karkheh River basin, Iran) during flood events (2009–2019) are divided into two groups including calibration and validation. Statistical tests including Chi-Square and Kolmogorov–Smirnov test indicate that the Burr distribution is proper distribution functions for rising and falling limbs of the floods’ hydrograph in calibration (2009–2013). A conditional ascending/descending random sampling from the constructed distributions on rising/falling limb is applied to produce hourly runoff. The hourly-downscaled runoff is rescaled based on observation to adjust mean three-hourly data. To evaluate the efficiency of the developed method, statistical measures including root mean square error, Nash–Sutcliffe efficiency, Kolmogorov-Smirnov, and correlation are used to assess the performance of the downscaling method not only in calibration but also in validation (2014–2019). Results show that the hourly downscaled runoff is in close agreement with observations in both calibration and validation periods. In addition, cumulative distribution functions of the downscaled runoff closely follow the observed ones in rising and falling limb in two periods. Although the performance of many statistical downscaling methods decreases in extreme values, the developed model performs well at different quantiles (less and more frequent values). This developed method that can properly downscale other hydroclimatological variables at any time and location is useful to provide high-resolution inputs to drive other models. Furthermore, high-resolution data are required for valid and reliable analysis, risk assessment, and management plans.     

能流结构图式分析法在丙烯热泵精馏工艺中的应用

提出了一种图式热力学分析新工具－能流结构图，并力图以此为基础，形成一种称之为能流结构图式热力学分析的新方法。该法采用图形方式将技术能量系统的用能特征可视化，使人们便于分析处理大量，复杂的信息，便于把握系统特性，进而完成系统的能量分析与集成，提出创新的节能方案。以该方法在2万t/a的丙烯精馏工艺中的应用为例，证明了新方法的实用性和有效性。     

基于元数据的异构环境物联网管理研究

环境物联网(Environmental Internet of Things,EIo T)已经广泛地应用于环境监测,在各个地区部署不同类型的EIo T系统是一个长期演进的过程。为了对分布于各地的大规模异构EIo T系统进行统一、有效的管理,通过分析环境监测的特点,并进一步分析了基于EIo T的环境监测系统的感知层、传输层与应用层的特点,提取出了各个环境物联网系统中多种类型的、可用于系统管理的元数据。基于这些环境物联网相关的元数据,构建了一个环境物联网系统统一管理框架。该管理框架通过实时感知应用层中数据存储层中的数据异常状态,可以屏蔽不同EIo T子系统中感知层与传输层的差异,这在一定程度上解决了异构性所带来的问题,可以对大规模、分布式部署的多个不同类型的EIo T子系统进行有效管理。     

异相结/异质结TiO2光催化机理及降解有机物的研究

到目前为止TiO2是较为成熟的半导体光催化材料，但因TiO2分散性差、量子利用率低、比表面积小、难回收等问题难以工业化。多孔金属有机框架MOFs的引入可增强TiO2/MOFs复合材料的光吸收性能，提高电子-空穴对分离和提高回收率。基于TiO2/MOFs制备时前驱体添加顺序不同，综述了TiO2/MOFs的三种制备方法（即Ship-in-a-bottle法、Bottle-around-ship法、One-pot法）及TiO2/MOFs光催化机理与性能影响因素，并探讨不同MOFs与TiO2结合的作用机理。最后，对TiO2/MOFs存在的问题提出建议。     

The clustering-based case-based reasoning for imbalanced business failure prediction: a hybrid approach through integrating unsupervised process with supervised process

Case-based reasoning (CBR) is one of the main forecasting methods in business forecasting, which performs well in prediction and holds the ability of giving explanations for the results. In business failure prediction (BFP), the number of failed enterprises is relatively small, compared with the number of non-failed ones. However, the loss is huge when an enterprise fails. Therefore, it is necessary to develop methods (trained on imbalanced samples) which forecast well for this small proportion of failed enterprises and performs accurately on total accuracy meanwhile. Commonly used methods constructed on the assumption of balanced samples do not perform well in predicting minority samples on imbalanced samples consisting of the minority/failed enterprises and the majority/non-failed ones. This article develops a new method called clustering-based CBR (CBCBR), which integrates clustering analysis, an unsupervised process, with CBR, a supervised process, to enhance the efficiency of retrieving information from both minority and majority in CBR. In CBCBR, various case classes are firstly generated through hierarchical clustering inside stored experienced cases, and class centres are calculated out by integrating cases information in the same clustered class. When predicting the label of a target case, its nearest clustered case class is firstly retrieved by ranking similarities between the target case and each clustered case class centre. Then, nearest neighbours of the target case in the determined clustered case class are retrieved. Finally, labels of the nearest experienced cases are used in prediction. In the empirical experiment with two imbalanced samples from China, the performance of CBCBR was compared with the classical CBR, a support vector machine, a logistic regression and a multi-variant discriminate analysis. The results show that compared with the other four methods, CBCBR performed significantly better in terms of sensitivity for identifying the minority samples and generated high total accuracy meanwhile. The proposed approach makes CBR useful in imbalanced forecasting.     

Distinguishing the adoption of business intelligence systems from their implementation: the role of managers’ personality profiles

For decades, the marketing guidelines of enterprise software providers have focused on those managers who are likely to be more innovative in adopting new information systems. The current study argues that this approach demands improvements for two reasons: (1) this tactic may be biased, since past studies have only examined the single trait of innovativeness and its impact on an individual adoption intention and (2) the organisational implementation intention might be more important than the individual adoption intention, but the former has been largely ignored in the existing literature. Based on the case of business intelligence (BI) systems and data from 62 senior managers, this study is a pioneer in that it empirically reveals that managers’ individual adoption intention is distinct from their organisational implementation intention. Further, while managers’ innovativeness may be a significant determinant of their individual adoption intention towards BI systems, the issue of whether managers actually implement BI systems in their organisations is dominated by their involvement characteristics. Fruitful suggestions are proposed for practitioners and scholars.     

CRUDi framework proposal: financial industry application

The alignment of information systems with the business goals of an organisation, although a topic of great importance, is not always properly valued or taken into consideration. In general, managers have different opinions to chief information officers (CIOs) in relation to IS, especially with regard to their importance and value to the business and also in terms of investment needs. Here, we discuss and study new approaches to methods and tools for assessing the relative importance of each information system to business, focusing on the financial sector including banks and insurance companies. We suggest the introduction of new key indicators for better decision support and to identify investment priorities, and present results regarding the relative importance of each process to support the business strategy. The primary goal for the inherent research project is to analyse the main problems and difficulties encountered by IS and IT managers, featuring different players and how they relate. The main contributions of this work are the CRUDi framework as a tool to improve alignment between business and IS strategies and the CRUDi survey and its results qualifying the financial sector's opinion regarding the relative importance of processes and investments.     

华东沿海城市水资源安全概念及未来战略示范研究

开展了水资源及水资源安全的基础理论,沿海城市水资源安全的内涵、外延及其特征等的研究与辨析,综述了水资源安全保障或发展的相关理论、技术手段或方法、政策与对策等方面的研究与实践进展;分析评估了华东沿海城市水资源特性、现状及安全保障问题;以上海水资源安全保障为例,研究提出了新时期及未来华东沿海城市水资源安全保障或发展的战略体系与框架,该框架体系包括目标层、体系层、战略层、战术层和保障层等。