Ranking ranges in cross-efficiency evaluations

The existence of alternate optima for the DEA weights may reduce the usefulness of the cross-efficiency evaluation, since the ranking provided depends on the choice of weights that the different DMUs make. In this paper, we develop a procedure to carry out the cross-efficiency evaluation without the need to make any specific choice of DEA weights. The proposed procedure takes into consideration all the possible choices of weights that all the DMUs can make, and yields for each unit a range for its possible rankings instead of a single ranking. This range is determined by the best and the worst rankings that would result in the best and the worst scenarios of each unit across all the DEA weights of all the DMUs. This approach might identify good/bad performers, as those that rank at the top/bottom irrespective of the weights that are chosen, or units that outperform others in all the scenarios. In addition, it may be used to analyze the stability of the ranking provided by the standard cross-efficiency evaluation.     

数据整合技术在水路运政业务中的研究与应用

本文主要从信息化的角度，在水路运政中进行数据整合技术的研究与应用。     

Characterisation of PDO olive oil Chianti Classico by non-selective (UV–visible,NIR and MIR spectroscopy) and selective (fatty acid composition) analytical techniques

An authentication study of the Italian PDO (protected designation of origin) extra virgin olive oil Chianti Classico was performed; UV–visible (UV–vis), Near-Infrared (NIR) and Mid-Infrared (MIR) spectroscopies were applied to a set of samples representative of the whole Chianti Classico production area.     

2006-2012年我国关联数据研究论文的定量分析

以2006-2012年我国所发表的关于关联数据的论文为分析数据,采用文献定量分析的方法进行统计分析,从时间分布、作者分布、期刊分布、研究资助基金分布和主题分布几个方面来分析我国关联数据研究的现状。同时,总结研究中尚存在的不足,探讨研究发展的趋势。     

Opportunistic Data Aggregation in Low-Duty-Cycle Wireless Sensor Networks with Unreliable Links

This paper proposes an opportunistic data aggregation algorithm to support the data collection in low-duty-cycle Wireless sensor networks （WSNs） with unreliable links. In this algorithm, each sensor selectively waits for some certain time to maximize the number of packets that it can aggregate from its downstream nodes, then transmits the aggregated result to an adaptively selected upstream node following an optimal forwarding sequence. Simulation results show that the algorithm can significantly increase the data aggregation efficiency, and reduce energy consumption and message overhead.     

Applied data science in patient-centric healthcare: Adaptive analytic systems for empowering physicians and patients

We define the emerging research field of applied data science as the knowledge discovery process in which analytic systems are designed and evaluated to improve the daily practices of domain experts. We investigate adaptive analytic systems as a novel research perspective of the three intertwining aspects within the knowledge discovery process in healthcare: domain and data understanding for physician- and patient-centric healthcare, data preprocessing and modelling using natural language processing and (big) data analytic techniques, and model evaluation and knowledge deployment through information infrastructures. We align these knowledge discovery aspects with the design science research steps of problem investigation, treatment design, and treatment validation, respectively. We note that the adaptive component in healthcare system prototypes may translate to data-driven personalisation aspects including personalised medicine. We explore how applied data science for patient-centric healthcare can thus empower physicians and patients to more effectively and efficiently improve healthcare. We propose meta-algorithmic modelling as a solution-oriented design science research framework in alignment with the knowledge discovery process to address the three key dilemmas in the emerging “post-algorithmic era” of data science: depth versus breadth, selection versus configuration, and accuracy versus transparency.     

RTCM SC-104数据格式及其应用──GNSS卫星导航定位方法之四

本文仅以DGPS所采用的RTCM SC-104数据格式为例，对它的数据格式类型、电文内容和电文解码实现进行了论述，作为读者全面了解DGNSS数据流的向导。     

Global Intermedia Agenda Setting: A Big Data Analysis of International News Flow

This study contributes to international news flow literature methodologically, by significantly expanding its scope, and theoretically, by incorporating intermedia agenda-setting theory, through which we reveal how news media in different countries influence each other in covering international news. With a big data analysis of 4,708 online news sources from 67 countries in 2015, the study shows that wealthier countries not only continue to attract most of the world news attention, they are also more likely to decide how other countries perceive the world. However, international news flow is not as hierarchical and U.S.-centric as found earlier. Online-only, emerging media in core countries are not necessarily more impactful in setting the world news agenda than those in (semi)peripheral countries.     

实时超高清电影模式检测算法及其实现

为了解决当帧率上变换算法遇见超高清电影模式序列时,由于重复帧导致运动矢量场无法收敛到真实轨迹,设计了一种高效率的电影模式检测与实现的方法.将视频图像进行分块不规则采样,对各个子块进行像素直方图统计,根据统计结果来进行电影模式处理,最后经过FPGA硬件验证及RC综合.实验结果证明,该算法设计在实时处理50/60 Hz超高清序列大数据流量时仅需很小的存储器资源,并且可以快捷准确地对电影模式进行实时检测处理,特别是局部运动的序列检测.     

电视播出系统网络信息与数据安全

本文介绍了南京广电集团电视播出系统网络信息与数据安全项目建设情况。新建立的聚合、冗余高速交换网络体系及安全防御体系基于模块化,易管理、可扩展,并引用无单点故障的NAS方案,配合升级改造后的灾备系统,实现与新播出网络的无缝连接,为向全台网和新媒体外延埋好了伏笔。