An Interacting Multiple Model Approach for State Estimation with Non‐Gaussian Noise Using a Variational Bayesian Method

The conventional interacting multiple models (IMM) approach for a hybrid system under the Gaussian assumption is limited for most real applications due to the noisy measurements often being in the presence of outliers. This paper aims at accommodating the IMM approach to the non‐Gaussian cases where outliers exist. In the proposed IMM algorithm, the Student‐t distribution is used to model the non‐Gaussian measurement noise. At the interaction step, the mixed statistics of the noise parameter under a Bayesian framework are obtained via a Gamma approximation and a recently reported moments matching method. To address the state noise‐coupled intractability in Bayesian filtering, a variational Bayesian method is utilized to approximate the posterior distributions of the noise and state recursively. The proposed algorithm is tested with a maneuvering target tracking example and is shown to be robust to the outliers.     

开关电源加速贮存寿命方法研究

开关电源具有体积小、重量轻、效率高等诸多优点,凭借其自身的诸多优势,开关电源已经广泛应用于航空航天、通信、以及电子类。由于应用领域的广泛性,开关电源的可靠性引起了人们的重视。论文以阿伦尼斯(Arrhenius)模型为基础,设计了一整套针对开关电源的可靠性评价和寿命预计的试验方案。该方案对试验器件施加温度应力,加速器件的失效过程,并通过一定的加速模型和统计分析方法,外推出正常工作条件下产品的寿命特征。     

基于NT技术中链路时延推测算法的分析研究

在研究了当前时延推测算法的基础上,将高斯混合模型推广到有限混合模型,使得算法可以同时推测多条链路的时延分布,利用重要性抽样技术增大研究事件出现的概率,再进行抽样并对样本空间进行调整,保证了指标的无偏性和有效性,同时降低了计算的复杂度,因此此方法具有广泛的适用性。最后在NS2平台上仿真验证,说明该算法是可行的。     

INFORMATION LITERACY IN A RESEARCHER'S LEARNING LIFE: THE SEVEN AGES OF RESEARCH

This article uses data from research conducted in the course of writing a book on the needs, wants and characteristics of researchers to examine how researchers view themselves and the research process. As a result of this, the Seven Ages of Research model was developed which categorises a researcher's learning life into a series of discrete stages. The article explores learning needs relevant to each age in the learning life and links them to the development of information literacy. The authors explore the polarisation that exists between what researchers think research is about and what they believe the library can offer them, and suggest that information literacy needs to be seen as involving a change in understanding of, and attitude to, the world of information, as well as the nature of those information needs. Finally, they explore the librarian's role in an e-environment which has changed the way researchers work and identify some of the challenges facing library and information services professionals in the future in supporting researchers throughout their learning lives.     

Pedestrian Detection and Tracking Using Deformable Part Models and Kalman Filtering

Abstract： Pedestrian detection techniques are important and challenging especially for complex real world scenes. They can be used for ensuring pedestrian safety, ADASs （advance driver assistance systems） and safety surveillance systems. In this paper, we propose a novel approach for multi-person tracking-by-detection using deformable part models in Kalman filtering framework. The Kalman filter is used to keep track of each person and a unique label is assigned to each tracked individual. Based on this approach, people can enter and leave the scene randomly. We test and demonstrate our results on Caltech Pedestrian benchmark, which is two orders of magnitude larger than any other existing datasets and consists of pedestrians varying widely in appearance, pose and scale. Complex situations such as people occluded by each other are handled gracefully and individual persons can be tracked correctly after a group of people split. Experiments confirm the real-time performance and robustness of our system, working in complex scenes. Our tracking model gives a tracking accuracy of 72.8% and a tracking precision of 82.3%. We can further reduce false positives by 2.8%, using Kalman filtering.     

软件可靠性模型研究进展

软件可靠性模型旨在根据软件失效数据,通过建模给出软件的可靠性估计值或预测值.它不仅是软件可靠性预计、分配、分析与评价的最强有力的工具,而且为改善软件质量提供了指南.对近年来提出的多种不同的软件可靠性模型进行分类剖析,讨论了部分模型的预测能力和适用性,分析了多个模型适用性差的原因,还对未来的研究趋势进行了展望.     

C语言教学模式及方法初探

C语言虽然作为国内众多高校计算机专业的基础必修课程,但是多年来真正能把这门课程贯彻执行的很好的高校少之又少。目前高校中真正能学扎实这门课程的学生不超过选修人数的10％,那么造成这种现状的根源在于哪里呢？经过多年的教学研究发现,传统的c语言教学模式及方法已经开始无法再满足未来软件开发人才的基础学习需要。因此,创新c语言的教学模式和方法是我们培养高素质高技能型人才的一个必然跨越。     

On the tractability of coloring semirandom graphs

As part of the efforts to understand the intricacies of the k-colorability problem, different distributions over k-colorable graphs have been analyzed. While the problem is notoriously hard (not even reasonably approximable) in the worst case, the average case (with respect to such distributions) often turns out to be “easy”. Semi-random models mediate between these two extremes and are more suitable to imitate “real-life” instances than purely random models. In this work we consider semi-random variants of the planted k-colorability distribution. This continues a line of research pursued by Coja-Oghlan, and by Krivelevich and Vilenchik. Our aim is to study a more general semi-random framework than those suggested so far. On the one hand we show that previous algorithmic techniques extend to our more general semi-random setting; on the other hand we give a hardness result, proving that a closely related semi-random model is intractable. Thus we provide some indication about which properties of the input distribution make the k-colorability problem hard.