P450酶启发的染料后修饰铁卟啉MOF光催化氧化

受细胞色素P450酶氧化代谢的启发,将染料酸性红87（Acid Red 87）后修饰到金属有机框架PCN-222(Fe)中,构筑非均相拟酶光催化剂Acid Red 87@PCN-222(Fe),拉近染料与铁卟啉中心的距离,利用光致电子转移模拟P450的电子传递链。以1-(4-甲氧基苯基)乙醇为模板底物,对光催化氧化的条件如溶剂、电子牺牲剂、氧源等进行筛选,得到优化反应条件为高碘酸钠(53.5 mg, 0.25 mmol),2,6-二甲基吡啶三氟甲磺酸盐(64.3 mg, 0.25 mmol),Acid Red 87@PCN-222(Fe)(12.0 mg, 0.00625 mmol),乙腈(2 mL),530 nm波长LED光照反应24 h。催化剂重复使用3次后仍保持活性和晶态结构。该催化体系对苄基碳氢键氧化具有良好的底物适用范围,可应用于非甾体类抗炎药匹美诺芬的区位选择性氧化，产率为48%，该体系还可将芳基硫醚类化合物氧化至相应的亚砜，体现其在精细化工制药、工业脱硫领域的应用潜质。     

A framework for tag-aware recommender systems

In social tagging system, a user annotates a tag to an item. The tagging information is utilized in recommendation process. In this paper, we propose a hybrid item recommendation method to mitigate limitations of existing approaches and propose a recommendation framework for social tagging systems. The proposed framework consists of tag and item recommendations. Tag recommendation helps users annotate tags and enriches the dataset of a social tagging system. Item recommendation utilizes tags to recommend relevant items to users. We investigate association rule, bigram, tag expansion, and implicit trust relationship for providing tag and item recommendations on the framework. The experimental results show that the proposed hybrid item recommendation method generates more appropriate items than existing research studies on a real-world social tagging dataset.     

传感网环境下视频传感器在线规划

针对视频传感器观测被动的问题,结合视频传感器和传感网的特点,设计了传感网环境下视频传感器在线规划框架。该框架采用面向服务的体系架构（ SOA）,包含资源层、资源服务层、规划服务层和应用层四个层,各层之间采用标准的网络通信协议进行通信。实现了视频传感器在线规划原型系统,并以视频监控签到为应用场景进行了在线规划实验。实验结果表明：该框架对于实现视频传感器主动和按需观测是可行且有效的。     

基于SDNA-GA 优化的模糊神经网络控制

针对最新的生物DNA研究,病毒中同一DNA碱基顺序可以编码出2条或者3条不同的多肽链.在此基础上分析与模仿了重叠基因和重叠密码的机理,得到一种新的基于重叠基因编码框架,从而提高了问题求解的效率;同时,得到一种移码解读框架的DNA遗传算法(SDNA-GA)计算模型,并将其应用于一类广义隶属度型T-S模糊神经网络控制器(GTS-FNNC)的优化设计,实现了GTS-FNNC的在线学习.     

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。