A Survey on Expert Recommendation in Community Question Answering

Community question answering (CQA) represents the type of Web applications where people can exchange knowledge via asking and answering questions. One significant challenge of most real-world CQA systems is the lack of effective matching between questions and the potential good answerers, which adversely affects the efficient knowledge acquisition and circulation. On the one hand, a requester might experience many low-quality answers without receiving a quality response in a brief time; on the other hand, an answerer might face numerous new questions without being able to identify the questions of interest quickly. Under this situation, expert recommendation emerges as a promising technique to address the above issues. Instead of passively waiting for users to browse and find their questions of interest, an expert recommendation method raises the attention of users to the appropriate questions actively and promptly. The past few years have witnessed considerable efforts that address the expert recommendation problem from different perspectives. These methods all have their issues that need to be resolved before the advantages of expert recommendation can be fully embraced. In this survey, we first present an overview of the research efforts and state-of-the-art techniques for the expert recommendation in CQA. We next summarize and compare the existing methods concerning their advantages and shortcomings, followed by discussing the open issues and future research directions.     

峡岛湍流海域水流力荷载计算方法探讨

与常规明渠流断面流速对数分布形态不同,外海连岛间海域断面流速呈现出复杂的分布特征,其主要原因在于凹凸不平海床面对海域流场分布有很大的影响。通过室内模型试验发现,峡岛湍流海域垂线流速基本呈二次抛物线分布形态,随后通过分析计算提出了以等效坡度为主因子的湍流流速分布公式。该公式计算结果与现场实测结果比较吻合,同时还给出了以抛物线分布形态为基准的水流力荷载计算修正系数。研究成果可为峡岛海域的工程结构设计提供参考。     

马斯洛需求层次理论下的江南乡村滨水空间适老化研究——以苏州市三山岛空间为例

随着乡村人口老龄化的加剧,养老问题日益凸显,空间适老化设计变得尤为重要,文中对江南乡村滨水空间的适老化展开研究。首先从乡村老年人的多元需求入手,按照马斯洛需求层次理论,分析总结出乡村老年人的3类需求,即物质需求、精神需求和文化需求。在此基础上总结江南地区乡村老年人的日常行为需求与乡村滨水空间的相关性,通过实地调研的方法对三山岛的乡村滨水空间进行分类梳理,找到现阶段乡村滨水空间存在的问题。基于乡村老年人的需求对乡村滨水空间提出相应的优化策略,以打造适用于乡村老年人的优质生活空间,使老年人与环境产生良性互动。     

A novel machine learning approach to rank web forum posts

Since the user generated contents in Web forums are rich but vary in quality, ranging from excellent detailed opinions to simple repetition of the content of previous, or even spams, it is difficult to find high quality information in the process of post browsing, retrieval and other Web forum applications. In this paper, we propose a novel machine learning approach named LGPRank to evaluate the web forum posts, where a genetic programming architecture is used to rank Web forum posts according to the qualities of their contents. In order to address the shortcomings of current studies, we take both the semantic-free and semantic-specific information of a post into account. We propose a set of new features named Latent Dirichlet Allocation (LDA) semantic features which are computed in LDA topic space. The proposed features as well as content surface features and forum specific features are used in the learning process. Experiments are conducted on three web forum datasets in comparison with methods used in prior ranking research. LGPRank outperforms all the other methods in terms of P@N, NDCG@N and MAP measures. Furthermore, the experimental results also indicate that the proposed LDA semantic features have a positive effect in improving the ranking performance.     

内外耦合支护控制机理在软岩巷道围岩中的应用

为控制A矿巷道围岩变形,抵抗流变,保持巷道围岩的稳定性,通过矿压监测以及对围岩变形特征的分析,决定采取“内外耦合支护”的方式进行巷道围岩稳定的控制。试验结果表明,应用该技术后,巷道围岩位移较小,锚杆受力稳定,并无明显离层出现,软岩巷道得到有效支护,为安全生产提供保障。     

考虑风电统计特性挖掘的分布鲁棒优化调度方法

提出一种基于数据驱动分布鲁棒优化的电力系统调度方法,以应对考虑风电不确定性的电力系统运行问题.首先,挖掘风电数据统计信息,提出了基于主成分分析与核密度估计的风电概率分布模糊集构建方法,刻画风电随机性以及不同风电机组出力之间的空间相关性;其次,针对含风电的调度问题,建立考虑概率分布模糊集的两阶段分布鲁棒优化问题;然后,将...     

基于时序超图卷积神经网络的股票趋势预测方法

传统的股票预测方法大多基于时间序列模型,忽视了股票之间复杂的关系,并且该关系往往超出成对连接,例如同行业板块内股票或者基金持仓多支股票.针对该问题,提出一种基于时序超图卷积神经网络(HGCN)的股价走势预测方法,根据金融投资事实构造超图模型以拟合股票之间的多元关系,该模型包括两大组件:门控循环单元(GRU)网络和超图卷...     

一种通用电子式互感器数字接口的研究与实现

电子式电流/电压互感器(ETA/ETV)与继保设备的合并单元(MU)的数字接口一直没有明确的规范,为方便ETA/ETV与各厂家的MU接口,考察了国内电力设备二次厂家MU的数字输入输出格式后提出了一种通用的电子式互感器与MU的数字接口方法。该方法采用复杂可编程逻辑器件(CPLD)作为核心处理器件,能够方便地实现各种数字输出的ETA/ETV与MU的接口。接口转换系统与四方公司MU的配合实验结果验证了接口方法和系统软硬件设计的正确性,可以运用在实际的一次互感器和二次设备接口的场合。     

A Tumor-Microenvironment-Responsive Lanthanide–Cyanine FRET Sensor for NIR-II Luminescence-Lifetime In Situ Imaging of Hepatocellular Carcinoma

Deep tissue imaging in the second near-infrared (NIR-II) window holds great promise for widespread fundamental research. However, inhomogeneous signal attenuation due to tissue absorption and scattering hampers its application for accurate in vivo biosensing. Here, lifetime-based in situ hepatocellular carcinoma (HCC) detection in NIR-II region is presented using a tumor-microenvironment (peroxynitrite, ONOO⁻)-responsive lanthanide–cyanine Förster resonance energy transfer (FRET) nanosensor. A specially designed ONOO⁻-responsive NIR-II dye, MY-1057, is synthesized as the FRET acceptor. Robust lifetime sensing is demonstrated to be independent of tissue penetration depth. Tumor lesions are accurately distinguished from normal tissue due to the recovery lifetime. Magnetic resonance imaging and liver dissection results illustrate the reliability of lifetime-based detection in single and multiple HCC models. Moreover, the ONOO⁻ amount can be calculated according to the standard curve.     

Auditory scene reproduction for tele-operated robot systems

ABSTRACT

In a tele-operated robot environment, reproducing auditory scenes and conveying 3D spatial information of sound sources are inevitable in order to make operators feel more realistic tele-presence. In this paper, we propose a tele-presence robot system that enables reproduction and manipulation of auditory scenes. This tele-presence system is carried out on the basis of 3D information about where targeted humans are speaking, and matching with the operator's head orientation. We employed multiple microphone arrays and human tracking technologies to localize and separate voices around a robot. In the operator site, separated sound sources are rendered using head-related transfer functions (HRTF) according to the sound sources' spatial positions and the operator's head orientation that is being tracked real time. Two-party and three-party interaction experiments indicated that the proposed system has significantly higher accuracy when perceiving direction of sounds and gains higher subjective scores in sense of presence and listenability, compared to a baseline system which uses stereo binaural sounds obtained by two microphones mounted on the humanoid robot's ears.