Speech Enhancement via Residual Dense Generative Adversarial Network

Generative adversarial networks (GANs) are paid more attention to dealing with the end-to-end speech enhancement in recent years. Various GAN-based enhancement methods are presented to improve the quality of reconstructed speech. However, the performance of these GAN-based methods is worse than those of masking-based methods. To tackle this problem, we propose speech enhancement method with a residual dense generative adversarial network (RDGAN) contributing to map the log-power spectrum (LPS) of degraded speech to the clean one. In detail, a residual dense block (RDB) architecture is designed to better estimate the LPS of clean speech, which can extract rich local features of LPS through densely connected convolution layers. Meanwhile, sequential RDB connections are incorporated on various scales of LPS. It significantly increases the feature learning flexibility and robustness in the time-frequency domain. Simulations show that the proposed method achieves attractive speech enhancement performance in various acoustic environments. Specifically, in the untrained acoustic test with limited priors, e.g., unmatched signal-to-noise ratio (SNR) and unmatched noise category, RDGAN can still outperform the existing GAN-based methods and masking-based method in the measures of PESQ and other evaluation indexes. It indicates that our method is more generalized in untrained conditions.     

双滑移取向Cu单晶的循环形变行为──Ⅱ．滑移带和形变带SCIEI

用光学显微镜和扫描电镜研究了双滑移取向（［０３４］，［１１７］）Ｃｕ单晶循环饱和后的表面形貌，塑性分切应变幅（γｐｌ）低于１０^（－３）时，［０３４］晶体表面上要为主滑移系的驻留滑移带（ＰＳＢｓ）占据，次滑移只在边缘区域启动，其ＰＳＢｓ细窄（＜１μｍ），体积百分数在１％以下．γｐｌ＞１０^（－３）时，次滑移开始在试样的中部启动，同时，表面出现二种贯穿晶体的宏观形变带（ＤＢＩ，ＤＢＩＩ），滑移带在形变带内集中．［１１７］晶体在γｐｌ＝４．４×１０^（－４）时，双滑移现象已十分明显．γｐｌ＞１０^（－３）时，表面也形成与前者相似的形变带．ＤＢＩ的惯习面与主滑移面平行（［０３４］晶体）或接近（［１１７］晶体），ＤＢＩＩ的惯习面则与前者垂直，文章讨论了形变带形成的可能原因．     

DQ型高效催化剂在环管PP装置上的应用

介绍了使用DQ型球形高效催化剂在上海石油化工股份有限公司塑料事业部70kt/a环管连续法工业聚丙烯生产装置上应用研究的结果，并对结果进行了讨论。     

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.     

一种洛伦兹力微机械谐振磁传感器建模及数值仿真

针对微机械洛伦兹力谐振磁传感器灵敏度受驱动控制电路和谐振频率漂移影响问题,利用平均周期法分析了鉴相器为异或门的锁相环频率跟踪电路的动力学模型,并求解出频率跟踪的稳定条件和稳态振幅平衡点.设计的磁传感器数值建模及仿真实验表明:当锁相环积分器系数小于临界值时,环路频率跟踪稳定;当锁相环积分器系数大于临界值时,频率跟踪振荡;稳态振幅与理论分析一致,灵敏度与接口电路无关;频率跟踪动态过程与压控振荡器初始频率ω0、积分系数kI、滤波器时间常数ξ有关.     

A Sequential Design Approach for Switching ℌ∞ LPV Control

This paper proposes a sequential design scheme for switching ℌ_∞ LPV (Linear Parameter-Varying) control, aiming to reduce the computational complexity of the associated optimization problem. Different from the traditional approach that simultaneously designs switching LPV controllers and solves a high-dimensional optimization problem, the proposed sequential design approach renders a bundle of low-dimensional optimization problems to be solved iteratively. Individual ℌ_∞ LPV controller for each subregion is synthesized by independent PLMIs (Parametric Linear Matrix Inequalities) to guarantee ℌ_∞ performance, and controller variables are interpolated on the overlapped subregions such that the ℌ_∞ performance is also guaranteed on the overlapped subregion. Numerical examples are used to demonstrate the effectiveness of this method to reduce the computational load in each design iteration and improved ℌ_∞ performance over the conventional simultaneous design method with well-tuned interpolation coefficient.

     

沈161块S_3~2亚段微构造特征研究

在精细小层对比的基础上、采用密井网大比例尺绘图方法对沈161块微构造进行研究,划分出三种微构造单元和四种配置模式。根据单井累计产量资料表征剩余油含量,研究不同的微构造类型及配置模式对剩余油的控制程度。分析认为:微构造正向单元、顶凸底凸型配置模式发育处是沈161块剩余油分布的有利区,当有利区域恰好发育分流河道沉积微相时对剩余油有着最好的控制作用。     

变电站设备状态智能识别系统技术研究

针对目前变电站采用人工巡检判断设备状态的方式存在作业效率低、工作质量不高、巡检人员的安全难以保障的问题,集成应用开关状态综合判断技术、刀闸状态综合判断技术、智能巡检技术和视频联动技术等关键技术,研制了变电站设备状态智能识别系统,通过与数据采集与监视控制(SCADA)系统的信息交互,实现了变电站开关、刀闸设备状态的远程智能识别.该系统可在变电设备倒闸操作、定期巡检、专项巡检以及日常设备状态监视中代替人工巡检开关、刀闸设备状态,及时发现并预警设备状态隐患,提高了巡检效率和质量,降低了运行人员的劳动强度,保障了人身及设备安全.通过在500 kV文山变电站的应用实例表明,应用该系统在单台主变停电倒闸操作中可节省5.63工时,验证了系统的实用性和有效性.     

NiAl合金的高温形状记忆效应SCIEI

观察到Ｎｉ－３４．６ａｔ．－％Ａｌ薄带单程和双程形状记忆效应（ＳＭＥ），单程ＳＭＥ发生在３００℃以上并具有很好的形状恢复率（１００％）。经高温退火后合金中产生了体积分数为１６％的延性γ′－Ｎｉ_３Ａｌ沉淀相、延性和韧性有进一步改善，同时发现退火后的薄带也具有良好的单程和双程高温ＳＭＥ。结果表明富Ｎｉ的ＮｉＡｌ有可能成为新型高温形状记忆合金（ＳＭＡ）。     

石羊河流域水资源承载能力研究

基于石羊河流域经济社会发展和水资源利用状况,在分析水资源承载能力内涵的基础上,建 立了水资源承载能力计算方法,分析了石羊河流域的水资源承载状态,指出石羊河流域在当前和今后 一段时期仍将处于超载状态,需要继续加大水资源保护力度,促进实现经济社会可持续发展。