Characterizing navigation maps for web applications with the NMM approach

This paper presents the Navigation Maps Modeling approach (NMM), which provides platform independent models for characterizing navigation maps of web applications. The NMM approach is conceived to obtain a trade off between high and low-level design notations. As high-level design notations, NMM models permit architectural details that may hinder the overall understanding of the web application to be left out. As low-level design notations, NMM models can easily be transformed into detailed architectural designs, which are very valuable at coding and maintenance stages.     

郑411块超稠油试油试采工艺技术应用

郑411块沙三段地层疏松出砂、原油粘度高，属中深层超稠油，常规试油试采方法难以突破出油关，采用APR全通径氮气垫测试、地层与井筒复合防砂、水平井配合直井蒸汽吞吐、氮气泡沫封堵调剖和井筒加热举升稠油等配套工艺技术，取得了较好的效果，为中深层超稠油油藏的开发提供了技术思路。     

基于柔性阵列传感器的脉象检测系统的设计

当前的脉象仪大部分采集手段单一,取脉压力的调节性差,无法模拟医生的布指方式,而且只能实现脉搏图的描记及分析,无法给出脉象的三维信息。针对这一问题研制了基于柔性阵列传感器的脉象检测系统,用硅胶制作了专门的脉搏换能器;设计了压力控制系统,实现压力自动调节,完成了对最佳取脉压力下脉象的采集;搭建了信号处理电路,实现了对脉象信号的提取和预处理;以USB-7660为核心构建了A/D采集系统,实现了对多路脉象信号的显示、存储。实验表明,该系统不仅可以有效采集到受试者的七路二维脉图,而且能清晰地观测到受试者的脉道宽度,并重建出相应脉搏波的三维传导地形图。     

Google Map数字栅格地图算法及应用

Google地图是Google向全球提供的电子地图服务,包括丰富的地图和黄页资源,特别是局部详细的卫星地图。通过具体分析Google Map不同坐标系下的坐标转换、Web墨卡托投影方式、地图瓦片URL组织结构,系统地研究了Google地图的算法及实现,并在VS2008环境下用C#语言实现了任意缩放系数下指定地图类型URL的合成和对应图片的下载。文中列出了部分程序代码以帮助大家进行后续开发设计,更有效地将Google地图集成到应用系统中。实验证实,该方法能够快速准确地下载指定范围的地图。     

基于神经网络的电子地图最优路径研究

现阶段电子地图的应用已经深入到各行各业,最优路径的查找及规划作为GIS的一个关键问题,成为研究的一个难点,本文提出一种基于Hopfield神经网络的方法来解决地图最优路径问题。以物流配送中的车辆路径最优化为例,先根据Hopfield神经网络模型研究基于Hopfield的最优路径算法,然后探讨和验证该算法的可行性、实用性,最后通过算例分析对该方法进行验证。     

基于软件复用技术的电子地图应用系统研究

介绍了软件复用技术,提出了实施基于构件的软件复用技术的关键技术,进而结合信息系统的特点进一步研究了基于领域的软件构件技术。利用面向对象分析方法和面向对象建模语言（UML）,对电子地图应用软件系统进行了分析和建模,进而提取构件,并按照COM构件规范实现构件。     

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.     

智能力敏传感器的研制

针对传统的差压密度计和压力式液位计分别存在可靠性不高、不适用于介质密度经常变化的场合的问题,设计了一种基于Freescale MC9S08AW60微控制器的智能力敏传感器,详细介绍了该传感器主要电路的设计。该智能传感器实现了数据采集、信号处理、数据通信和电流环输出式数模转换功能。实际应用表明,在-20～+80℃的工作温度范围内,密度测量精度可达±5kg/m3,液位测量不受悬浮液回流和液位波动的影响,很好地满足了工业现场的应用。     

基于双缓冲机制的多尺度导航电子地图显示设计

为了提高电子地图数据的精度和画面显示的速率,对地图数据格式加以改进,新增isvl参数准确标识出被描绘数据情报的尺度,对检索的数据缓存做了优化性能管理,依据地图数据的格式提出了坐标变换、数据解析和描画范围定位的准确算法,采用双缓冲机制绘制地图;经实验证明,使用该套方案实验的结果,具有以下特性:1)高精度,多尺度;2)画面合理的表达了空间关系;3)支持实时动态快速显示;可应用到电子地图的研发中。