Comparing open data benchmarks: Which metrics and methodologies determine countries’ positions in the ranking lists?

An understanding of the similar and divergent metrics and methodologies underlying open government data benchmarks can reduce the risks of the potential misinterpretation and misuse of benchmarking outcomes by policymakers, politicians, and researchers. Hence, this study aims to compare the metrics and methodologies used to measure, benchmark, and rank governments' progress in open government data initiatives. Using a critical meta-analysis approach, we compare nine benchmarks with reference to meta-data, meta-methods, and meta-theories. This study finds that both existing open government data benchmarks and academic open data progress models use a great variety of metrics and methodologies, although open data impact is not usually measured. While several benchmarks’ methods have changed over time, and variables measured have been adjusted, we did not identify a similar pattern for academic open data progress models. This study contributes to open data research in three ways: 1) it reveals the strengths and weaknesses of existing open government data benchmarks and academic open data progress models; 2) it reveals that the selected open data benchmarks employ relatively similar measures as the theoretical open data progress models; and 3) it provides an updated overview of the different approaches used to measure open government data initiatives’ progress. Finally, this study offers two practical contributions: 1) it provides the basis for combining the strengths of benchmarks to create more comprehensive approaches for measuring governments’ progress in open data initiatives; and 2) it explains why particular countries are ranked in a certain way. This information is essential for governments and researchers to identify and propose effective measures to improve their open data initiatives.     

Detecting Change Points by Fourier Analysis

The cumulative sum (CUSUM) is a basic diagnostic tool in the analysis of change-point data. It is shown that Fourier analysis of the CUSUM can be a useful supplementary tool in such analyses. The technique is applied to three data sets that have appeared previously in the statistical literature.     

Introduction To Probability and Statistical Decision Theory

A nonparametric sequential rank correlation test for independence consisting of a generalized sequential probability ratio test is investigated through the Monte Carlo method. The test is found to be satisfactory in terms of the power function. Comparison of the expected sample size of the test and three other tests including the fixed sample size test suggests that the sequential rank test is also efficient.     

多先验融合的图像显著性目标检测算法

为了更加准确地检测出图像中的显著性目标，提出了多先验融合的显著性目标检测算法。针对传统中心先验对偏离图像中心的显著性目标会出现检测失效的情况，提出在多颜色空间下求显著性目标的最小凸包交集来确定目标的大致位置，以凸包区域中心计算中心先验。同时通过融合策略将凸包区域中心先验、颜色对比先验和背景先验融合并集成到特征矩阵中。最后通过低秩矩阵恢复模型生成结果显著图。在公开数据集MSRA1000和ESSCD上的仿真实验结果表明，MPLRR能够得到清晰高亮的显著性目标视觉效果图，同时F，AUC，MAE等评价指标也比现有的许多方法有明显提升。     

无线传感器网络节点图像采集存储设计

为了监测和跟踪监控区域内的目标对象,提出了一种基于无线传感器网络节点的设计方案。随着高清图像传输速度越来越快、存储容量不断增大,使得每个节点的数据存储速率成为关键。以FPGA、DSP为控制核心,利用双片选交替双平面技术对混合编帧后的数据进行存储,实现了一种对图像的高速采集,并解决了数据存储速率的问题。通过对系统采集回的数据进行科学分析和图像还原,结果表明该设计能够可靠、有效的实现对图像信息的采集与存储。     

基于ActiveX控件技术的组态软件网页发布系统研究

组态软件的网页发布系统是组态软件的一个重要组成部分,也是实现工业系统远程控制和管理的基础。本文主要介绍了基于ActiveX控件技术的组态软件网页发布系统的设计与实现。     

Linear circuits: a measurement‐based approach

This paper proposes a new measurement‐based approach that can solve synthesis problems in unknown linear circuits. The method makes use of a small number of measurements to determine the functional dependency of any circuit signal or variable on any set of design variables. Once the functional dependency is obtained, the design requirements can be applied to find the design parameter values. The results are described for linear direct current and alternating current circuits. Copyright © 2013 John Wiley & Sons, Ltd.     

Steps toward an evolutionary personality psychology: Individual differences in the social rank domain.

A comprehensive evolutionary personality psychology can be developed by identifying individual differences within each of the evolved systems that regulate social behaviour. We developed a questionnaire measure of social rank style, defined as individual differences in preferred strategies for pursuing, defending, and, when necessary, relinquishing social rank. The 17-item Rank Style with Peers Questionnaire (RSPQ) comprises three nearly independent scales: dominant leadership, coalition-building, and ruthless self-advancement. A series of studies demonstrated that: (a) the RSPQ’s, factor structure is robust; (b) the three rank style variables are not redundant with the five-factor traits or adult attachment styles; (c) they are related in theoretically expected ways to adjustment outcomes, to agentic and communal interpersonal behaviours, and to social reputations; (d) they predict group and individual performance outcomes relevant to organisational psychology; and (e) they are related in theoretically expected ways to psychopathology, including social anxiety disorder and depressive symptoms. Future directions for research on social rank styles and prospects for an evolutionary personality psychology are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Tuning parallel applications in parallel

In this paper, we present and evaluate a parallel algorithm for parameter tuning of parallel applications. We discuss the impact of performance variability on the accuracy and efficiency of the optimization algorithm and propose a strategy to minimize the impact of this variability. We evaluate our algorithm within the Active Harmony system, an automated online/offline tuning framework. We study its performance on three benchmark codes: PSTSWM, HPL and POP. Compared to the Nelder–Mead algorithm, our algorithm finds better configurations up to seven times faster. For POP, we were able to improve the performance of a production sized run by 59%.