非能动余热排出换热器优化设计研究

以CFX为工具,对AP1000非能动余热排出换热器的管束结构进行改进,分析了管束结构对非能动余热排出换热器性能的影响。研究结果表明,在单相自然对流和轻度沸腾区,管束三角形排布时的换热系数明显优于现有设计,换热能力随着节距的减小而增强。为确保饱和沸腾区的换热性能,便于饱和沸腾区气泡自加热面的逸离,节距应不小于1.5do。     

基于国半LM3886的高保真合并式音频功率放大器

顺应当前节能减排的原则,开发了一款性价比极高、性能较完善的基干国半LM3886的高保真合并式音频功率放大器,该合并武音频功率放大器能匹配绝大多数书架音箱.实测指标与实际试听都达到较高水平.     

纠正措施在AP1000锻件制造中的应用

主要论述纠正措施作为一种重要的质保手段,在AP1000锻件制造中的实际应用,介绍一些实效显著的纠正措施方法。     

基于SIFT和Affinity Propagation的遥感图像配准算法

随着传感器和光学影像测量等各种技术的快速发展,航空遥感技术已经在电力巡检、森林防火、地理测绘等领域中发挥着越来越重要的作用,而图像配准作为遥感图像的预处理步骤为图像融合等后续处理提供了参考和依据,目前已经成为遥感图像处理领域的研究热点。文中提出了一种基于尺度不变特征变换（Scale-invariant Feature Transform,SIFT）和仿射传播聚类（Affinity Propagation,AP）的图像配准算法。该算法与原有算法相比优势在于无需预先设定参数,并且实验仿真表明该算法能有效地对多源图像进行高精度的配准,与随机抽样一致算法（Random Sample Consensus,RANSAC）相比提高了正确匹配点的数目。     

Wi-Fi终端设备性能测试

对终端的WLAN性能测试做了初步的探讨,重点论述了如何通过测试手段来确保Wi-Fi终端设备的性能,以满足企业和消费者对高业务质量的要求。     

Multiple kernel-based multi-instance learning algorithm for image classification

In this paper, a novel multi-instance learning (MIL) algorithm based on multiple-kernels (MK) framework has been proposed for image classification. This newly developed algorithm defines each image as a bag, and the low-level visual features extracted from its segmented regions as instances. This algorithm is started from constructing a “word-space” from instances based on a collection of “visual-words” generated by affinity propagation (AP) clustering method. After calculating the distance between a “visual-word” and the bag (image), a nonlinear mapping mechanism is introduced for registering each bag as a coordinate point in the “word-space”. In this case, the MIL problem is transformed into a standard supervised learning problem, which allows multiple-kernels support vector machine (MKSVM) classifiers to be trained for the image categorization. Compared with many popular MIL algorithms, the proposed method, named as MKSVM-MIL, shows its satisfactorily experimental results on the COREL dataset, which highlights the robustness and effectiveness for image classification applications.     

基于RSSI梯度的AP定位算法(英)

Recent rapid rise of indoor location based services for smartphones has further increased the importance of precise localization of Wi-Fi Access Point(AP).However,most existing AP localization algorithms either exhibit high errors or need specialized hardware in practical scenarios.In this paper,we propose a novel RSSI gradient-based AP localization algorithm.It consists of the following three major steps:firstly,it uses the local received signal strength variations to estimate the direction(minus gradient) of AP,then employs a direction clustering method to identify and filter measurement outliers,and finally adopts triangulation method to localize AP with the selected gradient directions.Experimental results demonstrate that the average localization error of our proposed algorithm is less than 2meters,far outperforming that of the weighted centroid approach.     

料浆法磷铵的发展和展望

自 2 0世纪 80年代以来 ,经实验室研究、中间试验、工业示范与大型化等关键性技术的研究开发 ,磷铵单系列生产能力由 30kt/a发展到 2 0 0kt/a ,全国已建成近 30 0 0kt生产规模。从基础理论研究与发展、生产技术的开发、设备的研制与开发介绍料浆法磷铵的发展历史与现状 ,并对未来发展中的若干问题提出了建议     

基于STEP的参数化特征造型系统的形状模型及其实现方法

本文简要描述了STEP的产品形状结构,论述了STEP的形状模型与一般系统形状模型的区别。在此基础上,讨论了产生基于STEP的系统内部形状模型应考虑的因素、模型的组成及其实现方法。该方法已在HP9000系列工作站上得到了部分实现。     

Femto AP QoS差异化管理研究

本文提出了一种以Femto网关为无线接人侧服务质量协商,策略执行中枢,实现Femto基站服务质量差异化服务以及策略管理的方法.该方法把以核心网为中枢的服务质量协商机制扩展到无线网侧,将当前会话与经由的Femto基站实时关联和捆绑,有效地解决了Femto系统对Femto基站的服务质量差异化管理的需求,使运营商能更有效地掌控Femto系统和制定更加灵活的差异化推广策略.