间歇式沥青拌和站冷料供给系统流量的标定方法

以实例介绍间歇式沥青拌和冷料供给系统流量的标定方法和步骤，以确保冷料供给器按目标配合比准确供料，使沥青混合料的生产配比更加接近目标配比，保证拌和成品料的质量。     

Decomposing and Cluster Refinement Design Method for Application-Specific Network-on-Chips

Along with higher and higher integration of intellectual properties (IPs) on a single chip, traditional bus-based system-on-chips (SoC) meets several design difficulties (such as low scalability, high power consumption, packet latency and clock tree problem). As a promising solution, network-on-chips (NoC) has been proposed and widely studied. In this work, a novel algorithm for NoC topology synthesis, which is decomposing and cluster refinement (DCR) algorithm, has been proposed to minimize the total power consumption of application-specific NoC. This algorithm is composed of two stages: decomposing with cluster generation, and cluster refinement. For partitioning and cluster generation, an initial low-power solution for NoC topology is generated. For cluster refinement, the clustering is optimized by performing floorplan to further reduce power consumption. Meanwhile, a good tradeoff between power consumption and CPU time can be achieved. Experimental results show that the proposed method outperforms the existing work.     

朔黄铁路POC语音调度系统服务质量测试方法研究

POC语音调度系统在朔黄铁路运营生产中发挥了重要作用,本文为朔黄POC语音调度系统设计了一种语音服务质量评价指标体系,并详细描述了各指标的计算公式和测试方法,为朔黄铁路LTE系统服务质量检测评价提供指导和支撑。     

Research on Web Page Classification Method Based on Query Log

Web page classification is an important application in many fields of Internet information retrieval, such as providing directory classification and vertical search. Methods based on query log which is a light weight version of Web page classification can avoid Web content crawling, making it relatively high in efficiency, but the sparsity of user click data makes it difficult to be used directly for constructing a classifier. To solve this problem, we explore the semantic relations among different queries through word embedding, and propose three improved graph structure classification algorithms. To reflect the semantic relevance between queries, we map the user query into the low-dimensional space according to its query vector in the first step. Then, we calculate the uniform resource locator (URL) vector according to the relationship between the query and URL. Finally, we use the improved label propagation algorithm (LPA) and the bipartite graph expansion algorithm to classify the unlabeled Web pages. Experiments show that our methods make about 20% more increase in F1-value than other Web page classification methods based on query log.     

智能网联交通系统多层次映射关系建模

目前,学者在智能网联交通领域的研究主要集中于宏观的技术进展综述和微观某一特定问题分析,但对智能网联交通系统各组成元素之间相互影响作用关系的数学分析尚有欠缺.首先,将智能网联交通系统分为三层,分析智能网联交通中各子系统间的动态影响作用关系,以及子系统状态波动在横向和纵向上的影响,提出智能网联交通系统稳定性影响评价指标体系;其次,根据模型的协同联动思想,提出基于车速推荐思想的智能网联交叉口人、车、路、管控协同联动流程;最后,通过仿真模拟T型交叉口的人、车通行对该模型进行验证.结果表明,模型能很好地适应并说明智能网联交通系统在协同联动作用下提高交通流的顺畅性和稳定性.     

钢棒加强式轨枕道床的纵横向阻力试验研究

为了探究钢棒加强式轨枕的纵横向阻力机理、分担以及钢棒插入深度和砟肩宽度的影响规律，为川藏铁路长大坡道韧性和稳定性增强提供新方法，通过进行一系列纵横向阻力试验得到了钢棒加强式轨枕纵横向阻力的总体特性和分担情况；通过改变钢棒插入深度和砟肩宽度探究了两者对钢棒加强式轨枕纵横向阻力的影响规律. 结果表明:与普通轨枕相比，钢棒加强式轨枕的纵横向阻力都有提高，当砟肩宽度为500 mm，堆高为0，钢棒插入深度为400 mm时，钢棒加强式轨枕纵横向阻力比肩宽为500 mm、堆高为150 mm条件下普通轨枕分别高39.2%和53.7%，枕底部分横向阻力分担比普通轨枕提升8%，纵向阻力提升26%；钢棒插入深度对道床阻力影响较大，在砟肩宽度为500 mm、堆高为0 时，插入深度由100 mm变至400 mm，相较于普通轨枕肩宽为500 mm、堆高为150 mm的工况，纵向阻力增幅由5.1%变至39.2%，横向阻力增幅由6.1%变至53.7%；砟肩宽度变化时，纵向阻力变化较小，横向阻力变化较大.      

振荡压实技术在公路沥青路面施工中应用研究

在铺设公路路面沥青时,常会运用振荡压实技术,该技术不但能降低压实材料的渗透率,而且还能解决沥青混合物的氧化难题.所以,振荡压实技术目前已被广泛应用到我国公路路面铺设工程中.文章将以具体实例为基础,探究振荡压实技术在铺设沥青工程的应用方式,以供借鉴.     

基于概率分析的公路系统灾害风险研究

针对高寒地区公路系统遭遇雪灾规模大、持续时间长的特点，以黑龙江地区公路系统及其常遭遇的风吹雪灾害为研究对象，从灾害发生机理探究灾害形成的宏观条件；基于概率论思想，通过影响因素的联合概率密度函数，将致灾因子发生可能性、危险等级及危险强度三者联系在一起，阐明了致灾因子的危险性评价理论；在公路系统脆弱性评估的基础上，构建了适用于寒区公路系统的风吹雪灾害风险评估体系. 通过此体系对黑龙江省2017年2月份内的风吹雪事件进行评估，并将预测结果与省气象信息中心发布的道路预警进行对比. 结果表明:研究区公路网在评价时段内相对风险等级最高的是鹤岗-伊春线、绥化-大庆线的绥化段、哈同公路的哈尔滨和佳木斯段以及牡丹江市周边，其相对风险概率大于0.69，需要对此路段多加关注. 该研究在一定程度上为今后寒区公路网的雪灾救援及物资配置提供了参考，使得寒区防灾减灾任务更加具有针对性.      

Automatic outer surface extraction of femoral head in CT images

Computer-aided hip surgery planning and implant design applications require accurate segmentation of femoral head and proximal acetabulum. An accurate outer surface extraction of femoral head using marching cubes algorithm remains challenging due to deformed shapes and extremely narrow inter-bone regions. In this paper, we present an automatic and fast approach for segmentation of femoral head and proximal acetabulum which leads to accurate and compact representation of femoral head using marching cubes algorithm. At first, valley-emphasized images are constructed from original images so that valleys stand out in high relief. Otsu’s multiple thresholding technique is applied to seperate the images into bone and non-bone classes. Region growing method and threedimensional (3D) morphological operations are performed to fill holes in the bone. In the reclassification process, the bone regions are further segmented, and the boundaries of the bone regions are further refined based on Bayes decision rule. Finally, marching cubes algorithm is applied to reconstruct a 3D model and extract the outer surface of femoral head and proximal acetabulum. Experimental results show that this method is an accurate segmentation technique for femoral head and proximal acetabulum and it can be applied as a tool in medical practice.