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.     

产业集聚效应的系统动力学模型研究

以系统动力学理论为基础，结合产业集聚效应的正反馈特征，对人才流、技术流、资金流和市场流的因果关系进行了探讨。通过产业集聚效应衡量方法的比较，构建系统动力学模型，分析制约产业集聚效应发挥的主要因素，提出加强政府投资力度、发挥市场机制作用和提高企业整体能力的建议。     

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。     

Separate when equal? Racial inequality and residential segregation

This paper sets out a new mechanism involving the emergence of middle-class black neighborhoods that can lead segregation in American cities to increase as racial inequality narrows. The formation of such neighborhoods requires a critical mass of highly educated blacks in the population, and leads to an increase in segregation when those communities are attractive for blacks who would otherwise reside in middle-class white neighborhoods. To assess the empirical importance of this “neighborhood formation” mechanism, we propose a two-part research design. First, inequality and segregation should be negatively related in cross section for older blacks if our mechanism operates strongly, as we find using both the 1990 and 2000 Censuses. Second, a negative relationship should also be apparent over time, particularly for older blacks. Here, we show that increased educational attainment of blacks relative to whites in a city between 1990 and 2000 leads to a significant rise in segregation, especially for older blacks, and to a marked increase in the number of middle-class black communities. These findings draw attention to a negative feedback loop between racial inequality and segregation that has implications for the dynamics of both phenomena.     

卷接包集控系统网络结构的规划分析

为解决绵阳卷烟厂卷包生产过程中存在的设备自控关联性差、连锁方式难以改变、分散的设备与生产运行难以监控、生产管理模式难以满足柔性化生产等问题,引进了卷包集控系统,并对该系统的三层网络结构进行了规划设计、对比分析。通过改变三个网络层次之间的连接方式、网络拓扑结构,使卷接包生产因集控系统网络故障引起的停机时间降到最低。应用效果表明,改进后的网络结构有利于缩小网络规模,控制网络风险,保证数据交换,避免I/O整体失控,有效提高了通信网络的安全性和稳定性及网络资源的利用率。     

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.