Visual topic discovering,tracking and summarization from social media streams

Multimedia Tools and Applications - Nowadays, microblogging has become popular, with hundreds of millions of short messages being posted and shared every minute on a variety of topics in social...     

Top-<Emphasis Type="Italic">k</Emphasis> temporal keyword search over social media data

Social media services have already become main sources for monitoring emerging topics and sensing real-life events. A social media platform manages social stream consisting of a huge volume of timestamped user generated data, including original data and repost data. However, previous research on keyword search over social media data mainly emphasizes on the recency of information. In this paper, we first propose a problem of top-k most significant temporal keyword query to enable more complex query analysis. It returns top-k most popular social items that contain the keywords in the given query time window. Then, we design a temporal inverted index with two-tiers posting list to index social time series and a segment store to compute the exact social significance of social items. Next, we implement a basic query algorithm based on our proposed index structure and give a detailed performance analysis on the query algorithm. From the analysis result, we further refine our query algorithm with a piecewise maximum approximation (PMA) sketch. Finally, extensive empirical studies on a real-life microblog dataset demonstrate the combination of two-tiers posting list and PMA sketch achieves remarkable performance improvement under different query settings.     

GPM Data Application in Analysis of Vertical Structure of Typhoon ‘Mujigae’ Precipitation

The Global Precipitation Measurement(GPM)mission is designed to provide the next generation of global satellite precipitation products.The GPM Microwave Imager (GMI) carried on the Core Observatory adds high\|frequency channels which can detect light rain and snow.The Dual\|Frequency Precipitation Radar (DPR) combining the data of Ku\|band and Ka\|band helps to obtain more information of cloud and precipitation particles.To detect the cloud and precipitation structure in the typhoon,lots of information from both bands such as precipitation distribution,vertical structure,rain top height and structure of stratus cloud and convective cloud of typhoon ‘Mujigae’ occurring in early October 2015 are analyzed,using 1C\|GMI and 2A\|DPR products of GPM.The results show that the Ku\|band of DPR is better at detecting precipitation and bright band.However,Ka\|band has better effects on detecting small particles of the cloud top.The near\|surface precipitation rate centers upon values below 20mm/hr and partly focuses on 20\|60mm/h.The maximum value of near\|surface precipitation rate is 88.68mm/hr.The rain top height centers on values between 5km and 10km,and the maximum value exceeds 15km.The proportion of stratus cloud precipitation in the typhoon reaches 63.4%,but its average rainfall rate per unit area is lower than convective cloud precipitation by 37%.The detecting results of DPR and ground\|based SA\|band radar are very close which proves the reliability of DPR data.     

渔业信息服务软件源程序版本控制

版本控制在软件开发中具有重要的作用,随着渔业信息服务软件的模块数量和规模不断扩大,利用版本控制技术管理源程序显得愈加重要。介绍了渔业信息软件开发过程中,利用Subversion版本控制系统进行源程序管理的方法。     

Modeling and implementation of classification rule discovery by ant colony optimisation for spatial land-use suitability assessment

This paper presents an integrated modeling method for multi-criteria land-use suitability assessment (LSA) using classification rule discovery (CRD) by ant colony optimisation (ACO) in ArcGIS. This new attempt applies artificial intelligent algorithms to intelligentise LSA by discovering suitability classification rules. The methodology is implemented as a tool called ACO-LSA. The tool can generate rules which are straightforward and comprehensible for users with high classification accuracy and simple rule list in solving CRD problems. A case study in the Macintyre Brook Catchment of southern Queensland in Australia is proposed to demonstrate the feasibility of this new modeling technique. The results have addressed the major advantages of this novel approach.     

无线环境中的数据广播调度理论分析及算法研究

数据广播是无线环境中一种独特的数据发布方式。首先系统地归纳了周期广播、on-demand广播和混合广播3种广播方式的理论分析模型及其特点,然后针对单信道和多信道对各种广播方式的调度算法进行了分类、比较,并突出了理论模型对调度算法研究的指导价值。最后指出今后的研究方向。     

新型Au/TiO_2纳米管的制备及其在化学需氧量测定中的应用研究

该文首次用光电催化的方法,在TiO2纳米管中嵌入金纳米粒子,新材料可以促进界面间电子的传递,有助于电子和空穴对的分离,进而提高光催化效率.对Au/TiO2纳米管进行扫描电子显微镜(SEM),色散型X射线能谱(EDX)和X射线衍射(XRD)表征,结果表明金纳米粒子被成功嵌入TiO2纳米管中,形成蜂窝状结构.将该材料首次用于光电催化法化学需氧量(COD)的测定,发现该传感器的光电流值在1～800mg/L范围内与COD值有良好的线性响应,检测限为0.3 mg/L.利用该传感器测定实际水样的COD值,结果与传统的K2Cr2O7标准方法有较好的一致性.