基于参考模型的自适应话音处理

本文讨论了一种带有参考通道的自适应话音消噪滤波器原理，该滤波器采用最小均方差(心幅)算法。将此滤波器应用于复杂噪音背景的话音信号提取，能很好地抑制背景噪声，从而获得清晰的话音信号。     

拖拉器在水平井生产测井中的应用

文章介绍了水平井拖拉器的基本结构及性能指标；总结了使用拖拉器进行水平井生产测井的测并工艺：介绍了在塔里木油田水平井生产测井的实际应用情况，给出了测井解释结果。     

Interactive image segmentation based on level sets of probabilities

In this paper, we present a robust and accurate algorithm for interactive image segmentation. The level set method is clearly advantageous for image objects with a complex topology and fragmented appearance. Our method integrates discriminative classification models and distance transforms with the level set method to avoid local minima and better snap to true object boundaries. The level set function approximates a transformed version of pixelwise posterior probabilities of being part of a target object. The evolution of its zero level set is driven by three force terms, region force, edge field force, and curvature force. These forces are based on a probabilistic classifier and an unsigned distance transform of salient edges. We further propose a technique that improves the performance of both the probabilistic classifier and the level set method over multiple passes. It makes the final object segmentation less sensitive to user interactions. Experiments and comparisons demonstrate the effectiveness of our method.     

脉冲电沉积Ni-Al2O3复合镀层的工艺参数及性能研究

利用脉冲电沉积在304不锈钢上制备了Ni-Al2O3纳米复合镀层,通过正交试验法确定了最佳工艺参数为:硫酸镍280 g/L,氯化镍45 g/L,硼酸40 g/L,十二烷基硫酸钠0.1 g/L,平均电流密度4 A/dm2,占空比40％,脉冲频率600 Hz,纳米Al2O3颗粒质量浓度5 g/L,温度45～55°C,pH 3～4,搅拌速率约220 r/min,电沉积时间60 min.用扫描电子显微镜分析镀层表面形貌,用能谱仪确定镀层中Al2O3含量,用显微硬度计测试镀层的显微硬度,用数码显微镜测量镀层的表面粗糙度,用电化学工作站分析镀层的耐蚀性.结果表明:与直流电沉积复合镀层相比,脉冲复合镀层晶粒尺寸较小、结合紧密,纳米Al2O3颗粒均匀分散,显微硬度和纳米Al2O3颗粒含量高,表面平整,耐蚀性好.     

Study on structure-property relationship of polyimide blends

Summary Three pairs of polyimide/polyimide blends (50/50 wt%) with different molecular structures were prepared by two ways, i.e. mixing of the polyamic acid precursors with subsequent imidization, and direct solution mixing of the polyimides. The blends were studied with DMA technique. The results obtained show that all the blends prepared with these two different ways are miscible, as there existed only one glass transition temperature (Tg) for all the blends. It is suggested that the miscibility of these polyimide/polyimide blends is a result of the strong inter-molecular charge-transfer interaction between the chains of their components.     

Multimodal Pre-training Method for Vision-language Understanding and Generation

Most existing vision-language pre-training methods focus on understanding tasks and use BERT-like loss functions (masked language modeling and image-text matching) during pre-training. Despite their good performance in the understanding of downstream tasks, such as visual question answering, image-text retrieval, and visual entailment, these methods cannot generate information. To tackle this problem, this study proposes Unified multimodal pre-training for Vision-Language understanding and generation (UniVL). The proposed UniVL is capable of handling both understanding tasks and generation tasks. It expands existing pre-training paradigms and uses random masks and causal masks simultaneously, where causal masks are triangular masks that mask future tokens, and such pre-trained models can have autoregressive generation abilities. Moreover, several vision-language understanding tasks are turned into text generation tasks according to specifications, and the prompt-based method is employed for fine-tuning of different downstream tasks. The experiments show that there is a trade-off between understanding tasks and generation tasks when the same model is used, and a feasible way to improve both tasks is to use more data. The proposed UniVL framework attains comparable performance to recent vision-language pre-training methods in both understanding tasks and generation tasks. Moreover, the prompt-based generation method is more effective and even outperforms discriminative methods in few-shot scenarios.     

粉煤灰填充PVC树脂的研究

采用ＷＡＸＤ、ＳＥＭ和力学测试等方法对不同粒度和不同含量的粉煤灰（ＰＦＡ）与聚氯乙烯（ＰＶＣ）共混物的结构形态、力学性能进行了测定。结果表明，ＰＦＡ粒度对ＰＶＣ／ＰＦＡ共混物的性能具有明显影响，当ＰＦＡ粒度尺寸达到一定程度时，再降低ＰＦＡ粒度尺寸对共混物的性能影响不大。随着ＰＶＣ／ＰＦＡ共混物中ＰＦＡ含量的增加，拉伸强度和拉伸模量增大，但伸长率降低。     

FeO-CaO-SiO2-Al2O3-ZnO—PbO-Cl体系中Zn、Pb氯化物饱和蒸气压的测定

采用气流携带法对FeO-CaO-SiO2-Al2O3-ZnO-PbO-Cl体系中Zn、Pb氯化物的饱和蒸气压进行测定,并对温度、渣成分、Cl含量等影响因素进行了分析。结果表明,温度为970～1030K条件下FeO-CaO-SiO2-Al2O3-ZnO-PbO-Cl体系中Zn、Pb氯化物饱和蒸气压均随着温度的升高而增加,且P1）氯化物蒸气压值的对数与温度的倒数之间呈较好的线性关系。碱度、FeO含量均对Zn、Pb氯化物的饱和蒸气压影响很大,低碱度可提高Zn、Pb氯化物的饱和蒸气压,高FeO含量虽可增加ZnCl2饱和蒸气压,却降低了Pb氯化物的饱和蒸气压。Cl含量越高,该体系中Zn、Pb氯化物的饱和蒸气压越大。     

LS—SVM算法在光伏短期功率预测中的应用

以光伏阵列为研究对象,分析了辐照强度、温度以及日类型对光伏阵列出力的影响。建立了光伏短期功率预测最小二乘支持向量机LS-SVM模型。依据实验数据对模型进行了验证计算．并与BP神经网络模型做了比较,其中LS-SVM模型最大相对误差值为10．54％,平均绝对百分比误差（MAPE）为8．18％,绝对误差平方和平均值的均方根（RMSE）为0．4884,表明模型预测值离散化程度较小,所有预测点均与实际值非常接近,模型具有较好的拟合效果和泛化能力．可以有效地预测短期光伏发电功率。