Trade networks and economic fluctuations in Asian countries

The paper presents a new methodology, based on tensor decomposition, to map dynamic trade networks and to assess its strength in forecasting economic fluctuations at different periods of time in Asia. Using the monthly merchandise import and export data across 33 Asian economies, together with the US, EU and UK, we detect the community structure of the evolving network and we identify clusters and central nodes inside each of them. Our findings show that data are well represented by two communities, in which People's Republic of China and Japan play the major role. We then analyze the synchronisation between GDP growth and trade. Furthermore we apply our model to the prediction of economic fluctuations. Our findings show that the model leads to an increase in predictive accuracy, as higher order interactions between countries are taken into account.     

低应变反射波法在PHC管桩完整性检测中的应用分析

根据低应变反射波法检测高强度预应力混凝土管桩(PHC)桩身完整性的原理,通过具体工程实例对低应变反射波检测PHC管桩有关问题进行了分析探讨。     

辽宁省大学生亚健康现状及成因研究

以辽宁省6所不同类型院校的1 200名学生为研究对象,对他们的亚健康现状和影响因素进行了调查,可以看出我省大学生亚健康检出率略高于其他省份。影响辽宁省大学生亚健康症状的主要因素:对自身健康的关注度不够、饮食不规律、缺少合理的睡眠和适当的体育锻炼、闲暇时间睡懒觉及上网聊天打游戏;学校相关部门对学生身体状况的重视程度不够,缺少家人的影响与监督;大学生对未来前程的担忧和就业的压迫感、对自身工作能力的不自信。     

探地雷达在公路改扩建工程检测中的应用

公路改扩建工程在广东省正处于快速发展时期,如何准确得到路面病害情况,是旧路处治方案制定面临的主要问题.依托开阳高速改扩建工程,采用三维探地雷达对旧路进行病害检测,得到道路表面及内部的病害分布情况,并分别与人工徒步调查路况及开挖后内部实际情况进行比对.结果表明:当三维探地雷达检测采样间距设置为2.0 cm、驻波时间设置为0.6 ms、时窗设置为85 ns时,可达到较好的检测精准度;三维探地雷达可实现对路面结构内部不同深度位置的裂缝病害进行探测,精确识别3 mm宽裂缝,并了解裂缝的发展方向及性质.     

计算机技术在建筑材料检测中的应用研究

计算机的智能化、科学化与高效化特点,使其在现代建筑材料检测中得到了广泛的应用。本文对计算机技术的应用意义进行了介绍,同时探讨了计算机技术在建筑材料检测各个环节的应用,最后对计算机技术应用于建筑材料检测时的系统组成进行了分析。     

浅谈房地产公司战略采购材料部品送认封管理

通过材料部品样品送样、认样、封样的全过程管理,实现材料部品的收集、分类、整理、入库、出库的过程跟踪控制,明确职责划分实施全过程可追溯的有效资源管理模式。     

采用相位判决的低复杂度广义空间调制检测算法

针对广义空间调制（GSM）系统中信号检测复杂度过高的问题，提出了一种基于相位判决的低复杂度检测算法。首先根据一种排序准则对天线组合进行排序，然后将排序后的天线组合中的符号向量依次通过基于相位判决的迫零(ZF)均衡器进行检测，最终得到星座调制符号和激活天线组合。分析和仿真结果表明，该检测算法可以有效缩小接收端的搜索范围，在提供与最大似然（ML）检测算法相近的误比特率（BER）性能的同时，计算复杂度降低了98%。     

Object detection based on visual memory: a feature learning and feature imagination process

ABSTRACT

Visual memory plays an important role for the human’s visual system to detect objects. The features of an object stored in the visual memory have much lower dimensions than the features contained within an image. We simulate the visual memory as a feature learning and feature imagination (FLFI) process to build an object detection algorithm. The method is constructed by a bottom-up feature learning and a top-down feature imagination. The proposed object detection method is tested using publicly available benchmark data sets, and the result indicates that it is fast and more robust.     

玻璃纤维增强塑料夹砂管初始力学性能检测的研究

由玻璃纤维增强塑料夹砂管的环刚度、刚度等级概念分析了环刚度设计与检测的基本方法,探讨挠曲水平、轴向拉伸强力和环向拉伸强力检测方法,比较分析了各种方法的优缺点与适用范围,对理解及掌握玻璃纤维增强塑料夹砂管初始力学性能的概念及相关检测方法具有一定参考意义。     

Revealing travel patterns and city structure with taxi trip data

Delineating travel patterns and city structure has long been a core research topic in transport geography. Different from the physical structure, the city structure beneath the complex travel-flow system shows the inherent connection patterns within the city. On the basis of taxi-trip data from Shanghai, we built spatially embedded networks to model intra-city spatial interactions and to introduce network science methods into the analysis. The community detection method is applied to reveal sub-regional structures, and several network measures are used to examine the properties of sub-regions. Considering the differences between long- and short-distance trips, we reveal a two-level hierarchical polycentric city structure in Shanghai. Further explorations of sub-network structures demonstrate that urban sub-regions have broader internal spatial interactions, while suburban centers are more influential on local traffic. By incorporating the land use of centers from a travel-pattern perspective, we investigate sub-region formation and the interaction patterns of center–local places. This study provides insights into using emerging data sources to reveal travel patterns and city structures, which could potentially aid in developing and applying urban transportation policies. The sub-regional structures revealed in this study are more easily interpreted for transportation-related issues than for other structures, such as administrative divisions.