四川省防震减灾素质教育工程设计

四川省防震减灾素质教育工程的建设内容包括1个防震减灾素质教育中心、39个防震减灾科普宣传服务站、180个防震减灾科普示范学校和25个防震减灾科普示范社区。教育工程能够实现全省防震减灾科普知识的有效宣传,以及地震信息的实时发布和地震救援信息的实时更新。     

一种基于稀疏优化的数独求解新方法

为了更好地求解数独问题,提出一种新的求解方法:采用实数编码去除整数约束,同时采用0范数作为目标函数来保证解的稀疏性．在此基础上,根据RIP（Restricted Isometry Property）与KGG(Kashin Garnaev Gluskin)条件,用1范数近似0范数．最后引入松弛矢量,使1范数转换为一个凸线性规划问题．采用主对偶内点法求解该线性规划问题．实验表明：该方法对简单、中等、困难、恶魔级别的数独,可达到100％成功率;对最小提示数目的17数独,达到864％的成功率．另外,该算法耗时短,且与数独的难度无关．因此,该算法在成功率与运行时间上均优于约束规划与Sinkhorn算法     

GPS周跳探测的两种方法研究

在GPS定位中,有时需要测站的高精度坐标,为此模糊度的解算和周跳的探测与修复成为关键问题,在周跳探测中,特别是小周跳的探测成为当今的热点问题。本文中利用接收机的双频观测值进行周跳的探测研究,通过实例分析,证明这两种方法可行。     

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The construction of human–animal relations: National Jumps Day 2013 at Te Rapa,Hamilton, New Zealand

New Zealand is an important place for thoroughbred breeding and racing. Most races are on the flat, but jumps racing is conducted in the cooler months. The 2013 National Jumps Day at Te Rapa, Hamilton, was a significant space for the construction of human–animal relations. Drawing on three bodies of accounts, we ask whether social media contributes to the realignment of perspectives or reinforces existing human–animal relations. We explore competing narratives and demonstrate how animals, people, activities and places are constructed, including making animal deaths unrecognisable to perpetuate activities that are questioned by contemporary animal geographies.     

一种基于双重距离约束的多层次空间聚类方法

以往的双重空间聚类方法通常实现的是单一层次聚类,虽然顾及了地理实体的位置属性和专题属性,但是在实施过程中,实体的空间邻近和属性相似的表示和衡量,使用了不同的变量和标准,降低了算法的效率.文章采用双重距离作为实体间的相似性度量,通过对点实体构建的Delaunay三角网中的边施加同时顾及整体与局部特性的双重距离约束,实现了点实体的多层次空间聚类.通过实际算例分析与比较,验证了方法的有效性.     

COUNCIL MEETING,SEATTLE April 26-27, 1974

Since the U.S. Embassy in Beijing placed an air quality sensor on its roof and began publishing the results on Twitter in 2008, air quality has gained widespread attention on Chinese microblogs. When the Chinese government introduced new air quality standards in 2012, some hailed this as a victory for Chinese microbloggers, signifying the emergence of social media as a democratizing force leading to greater citizen power. Using a representative sample of microblog posts collected from October 2012 to June 2013 on the topic of air pollution, as well as contextual information from a variety of sources, we examine how the government, companies, nongovernmental organizations, and individuals approach the Chinese social media landscape. We find that although microblogs are capable of empowering citizens to advance an environmental cause, social media have also been increasingly employed by the government as a tool for social monitoring and control and by companies as a platform for profiting from air pollution.     

Automated geographic context analysis for volunteered information

Several studies show the impacts of (geo)social media and Volunteered Geographic Information (VGI) during crisis events, and have found intrinsic value for rescue teams, relief workers and humanitarian assistance coordinators, as well as the affected population. The main challenge is how emergency management and the public can capitalize on the abundance of this new source of information by reducing the volume to credible and relevant content.In this paper, we present the GeoCONAVI (Geographic CONtext Analysis for Volunteered Information) approach and a prototype system, designed to retrieve, process, analyze and evaluate social media content on forest fires, producing relevant, credible and actionable VGI usable for crisis events. The novelty of the approach lies in the enrichment of the content with additional geographic context information, and use of spatio-temporal clustering to support scoring and validation. Thus, the system is focusing on integrating authoritative data sources with VGI. Evaluation in case studies shows that the prototype system can handle large amounts of data with common-off-the-shelf hardware, produces valuable results, and is adaptable to other types of crisis events.     

Automated (post)positivism

With a mantra that ‘nobody is as smart as everybody,’ Google maintains giant databases that enable unprecedented quantitative analysis of a social world that is now majority urban. A Wall Street web-based broker offers an App that promises to turn ‘thoughts into trades.’ Economists and marketers now use evolutionary theory in ‘neuroimaging’ brain scans of consumer behavior. The United States Air Force now trains more joystick-maestro drone pilots than old-fashioned Do-the-Right-Stuff human fighters and bombers. In this article, I suggest that these trends signal a troubling reincarnation of an aggressive Right-wing (post)positivist zombie reanimated by global, digitized neoliberalism. The long-forgotten revolutionary project launched by Auguste Comte in 1822 was hijacked and corrupted after his death, and now we confront a hybrid cyborg zombie, a dehumanized, automated adaptation to the post-structuralist situated knowledges of consumer sovereignty. #Comtebot: The positivist era is right now; the question is what kinds of politics it will have.     

New data sources for social indicators: the case study of contacting politicians by Twitter

ABSTRACT

Data availability is a persistent constraint in social policy analysis. Web 2.0 technologies could provide valuable new data sources, but first, their potentials and limitations need to be investigated. This paper reports on a method using Twitter data for deriving indications of active citizenship, taken as an example of social indicators. Active citizenship is a dimension of social capital, empowering communities and reducing possibilities of social exclusion. However, classical measurements of active citizenship are generally costly and time-consuming. This paper looks at one of such classic indicators, namely, responses to the survey question ‘contacts to politicians’. It compares official survey results in Spain with findings from an analysis of Twitter data. Each method presents its own strengths and weakness, thus best results may be achieved by the combination of both. Official surveys have the clear advantage of being statistically robust and representative of a total population. Instead, Twitter data offer more timely and less costly information, with higher spatial and temporal resolution. This paper presents our full methodological workflow for analysing and comparing these two data sources. The research results advance the debate on how social media data could be mined for policy analysis.