电力企业业扩报装冗余信息抽取系统设计

针对传统系统处理冗余信息工作频率低,冗余率高的问题,设计一个新的电力企业业扩报装冗余信息抽取系统。该系统采用B/S三层结构设计框架,框架主要由集成层、通信层以及抽取处理层组成,集成层主要由数据仓库集成芯片和通信接口组成,负责将电力企业业扩报装信息集中到一起;通信层中只有一个nRF2401芯片,负责将集成后的数据信息传输到抽取处理层中;抽取处理层主要由单片机和内外储存载体组成,主要负责抽取冗余信息,并将处理好的信息储存起来。结果表明:本系统较传统系统工作频率提高66.9 Hz,冗余率降低6.3%。     

Synthesis and spectral-luminescent properties of La1-xPrxGa0.5Sb1.5O6 solid solutions

The series of La_1-xPr_xGa_0.5Sb_1.5O₆ solid solutions (x = 0–1) with PbSb₂O₆ structure was synthesized. The comparative study of the La_1-xPr_xGa_0.5Sb_1.5O₆ morphology showed all compounds have net microstructures. Herein the Pr concentration increasing leads to particles size decreasing from 400 up to 200 nm in the samples with low Pr content and to recrystallization and coarsening of the particles in Pr-rich ones. Using LaGa_0.5Sb_1.5O₆ as an example, it was shown that the compounds have a wide transmission region in the visible and IR spectral ranges and are characterized by a low-energy phonon spectrum. An analysis of the spectral-luminescent characteristics revealed the presence of a cross-relaxation process (¹D₂→¹G₄) → (³H₄→³F₄) of Pr³⁺ ions for La_1-xPr_xGa_0.5Sb_1.5O₆ at x ≥ 0.07. It was showed that a broadband radiation of thermal nature is observed under laser excitation with λ = 457 nm and a power density of J = 4.65 kW/cm² for the samples with high (x = 0.4–1) praseodymium content.     

Effects of dataset characteristics on the performance of feature selection techniques

While extensive research in data mining has been devoted to developing better feature selection techniques, none of this research has examined the intrinsic relationship between dataset characteristics and a feature selection technique’s performance. Thus, our research examines experimentally how dataset characteristics affect both the accuracy and the time complexity of feature selection. To evaluate the performance of various feature selection techniques on datasets of different characteristics, extensive experiments with five feature selection techniques, three types of classification algorithms, seven types of dataset characterization methods and all possible combinations of dataset characteristics are conducted on 128 publicly available datasets. We apply the decision tree method to evaluate the interdependencies between dataset characteristics and performance. The results of the study reveal the intrinsic relationship between dataset characteristics and feature selection techniques’ performance. Additionally, our study contributes to research in data mining by providing a roadmap for future research on feature selection and a significantly wider framework for comparative analysis.     

基于冲淤判定因子的长江重庆九龙坡河段汛后走沙规律研究

通过实测水文资料分析,提出了长江重庆九龙坡河段的冲淤判定因子U3/h,U3/h=0.24m2/s3可作为九龙坡河段冲淤判定的临界值,即当九龙坡河段U3/h ＞0.24 m2/s3,该河段将发生冲刷,反之淤积.利用三维水动力数学模型,计算了不同坝前水位、嘉陵江汇流比和上游来流条件下的九龙坡河段U3 /h值,分析了三峡水库蓄水后九龙坡河段汛后的走沙规律.     

Fuzzy least absolute linear regression

The distance between triangular fuzzy numbers is an important research topic in many fields. In this paper, we introduce a new distance between triangular fuzzy numbers, merge least absolute deviation method with the new distance and propose fuzzy regression model. We also investigate the properties and model algorithm of fuzzy least absolute linear regression model in detail by transforming this model into linear programming. Further, we use three numerical examples to illustrate our proposed model reasonable and make some comparisons with some existing fuzzy regression models. Finally, we investigate the robust property of our proposed model and apply our model in the missing data set to verify model data.     

Electrolytes for solid oxide fuel cells

The high operating temperature of solid oxide fuel cells (SOFCs), as compared to polymer electrolyte membrane fuel cells (PEMFCs), improves tolerance to impurities in the fuel, but also creates challenges in the development of suitable materials for the various fuel cell components. In response to these challenges, intermediate temperature solid oxide fuel cells (IT-SOFCs) are being developed to reduce high-temperature material requirements, which will extend useful lifetime, improve durability and reduce cost, while maintaining good fuel flexibility. A major challenge in reducing the operating temperature of SOFCs is the development of solid electrolyte materials with sufficient conductivity to maintain acceptably low ohmic losses during operation. In this paper, solid electrolytes being developed for solid oxide fuel cells, including zirconia-, ceria- and lanthanum gallate-based materials, are reviewed and compared. The focus is on the conductivity, but other issues, such as compatibility with electrode materials, are also discussed.     

Surimi–alginate gels as affected by setting: a study based on mixture design and regression models

Interaction and setting effects on surimi–alginate gels were investigated by d-optional mixture design and analyzed by linear and nonlinear manual or stepwise regression models. Nonlinear model showed significant interactions of surimi–water on water retention ability (WRA) and failure shear stress, and surimi–alginate on whiteness of control (non-set) surimi–alginate gels. But no interaction was found on shear strain of control gels. In set gels, only WRA fitted nonlinear model with interaction terms for surimi–water and alginate–water. Setting increased the gel functionalities such as WRA, whiteness, and shear stress of surimi–alginate gels. The response trace plots showed that WRAs and failure shear stresses of both control and set gels of surimi–alginate were increased by alginate and surimi contents, but decreased by water. However, whiteness was increased by water and surimi contents, but decreased by alginate, while shear strain was increased by surimi content, but decreased by alginate and water.     

Characterisation of an oxy-coal flame through digital imaging

This paper presents investigations into the impact of oxy-fuel combustion on flame characteristics through the application of digital imaging and image processing techniques. The characteristic parameters of the flame are derived from flame images that are captured using a vision-based flame monitoring system. Experiments were carried out on a 0.5 MW_th coal combustion test facility. Different flue gas recycle ratios and furnace oxygen levels were created for two different coals. The characteristics of the flame and the correlation between the measured flame parameters and corresponding combustion conditions are described and discussed. The results show that the flame temperature decreases with the recycle ratio for both test coals, suggesting that the flame temperature is effectively controlled by the flue gas recycle ratio. The presence of high levels of CO₂ at high flue gas recycle ratios may result in delayed combustion and thus has a detrimental effect on the flame stability.     

Wet-milling disposal of autoclaved aerated concrete demolition waste – A comparison with classical supplementary cementitious materials

The raw autoclaved aerated concrete waste (RA) is an important construction and demolition waste. The present work investigated the possibility of utilizing ultrafine autoclaved aerated concrete waste (WA) as a supplementary cementitious material (SCM) after wet-milling disposal. Results indicated that it is possible to realize the utilization of RA as a SCM by wet-milling treatment. The ultrafine WA blended mixture presented earlier hydration heat flow than the other alternatives. WA blended mixture showed almost the highest reactivity index (almost 100%) and compressive strength at each curing age, whereas coarse RA and SS blended systems presented the lowest values. WA blended mixture showed relatively low initial and secondary sorptivity coefficients. It was concluded that the high secondary sorptivity coefficients of FA and RA was due to the formation of connected voids by porous RA particles and partially reacted hollow FA spheres.