改进粒子群算法的图像分割阈值方法研究

图像分割在图像处理领域里的作用至关重要,当前图像分割方法的一类重要方法是源于粒子群算法的图像分割方法,本文对源于改进粒子群算法的三类图像分割方法,即单阈值图像分割方法、二维阈值图像分割方法和多阈值图像分割方法进行了全面研究,通过研究指出单阈值图像分割方法效果相对来说是较差的,二维阈值图像分割方法比单阈值图像分割方法好,多阈值图像分割方法效果最好,并对每一类方法的不足以及以后要解决的问题也作了详细分析,同时也通过研究指出了图像分割技术未来的发展方向将是多种方法相结合才能得到较好的效果。     

论技术监测的对象

通过对网络信息环境下的传统科技管理手段的深入分析,我们提出将数据挖掘等现代信息技术与科技管理方法相结合的技术监测的理论与方法。本文对技术监测的对象进行了研究,指出技术监测的对象包括科技管理需求层次(科技发展战略与计划、科技发展环境与需求、特定技术领域、技术项目)和监测基础层次(科技文献、技术专利、研发主体)。并对每个对象的监测内容、目的、方法和监测的案例结果进行了详尽的分析和阐述。     

基于小波变换多尺度的图像边缘检测方法研究

边缘检测在图像处理中占有很重要的地位,其算法的优劣直接影响着计算机视觉系统对客观世界的理解。文中介绍小波变换应用于数字图像,利用检测小波系数模极大值的方法来检测图像的突变点位置(图像边缘位置),通过仿真实验说明,小波在图像(或噪声)边缘检测上是有效的。     

A stock rank prediction method combining industry attributes and price data of stocks

Stock forecasting has always been challenging as the stock market is affected by a combination of factors. Temporal Convolutional Network (TCN) based on convolutional structure has been widely used in time series prediction in recent years, but the dilated causal convolution structure leaves it unable to effectively learn the dependencies between data at different time points. This paper proposes a method for stock ranking prediction. To enhance the ability of TCN to handle dependencies within series, we first develop a channel-time dual attention module (CTAM). In conjunction with TCN to process complex historical stock price data, CTAM can adaptively learn the importance of multiple price nature series of stocks and model the dependencies between the data at different times. On the other hand, due to the market industry rotation, some stocks with specific industry attributes may become market preference for a period time. To apply the industry attributes to the stock prediction, we construct an industry-stock Pearson correlation matrix and extract a vector that fully characterizes the industry attributes of stocks from it through a matrix factorization algorithm. Furthermore, the historical market preference is modeled according to the industry attribute of the stocks to generate the dynamic correlation between stocks and market preference, and this correlation is combined with the historical price features extracted by TCN for stock ranking prediction. We conduct experiments on three datasets of 950 constituent stocks of the Shanghai Stock Exchange Index, 750 constituent stocks of the Shenzhen Stock Exchange 1000 Index and 486 stocks of the S&P500 to demonstrate the effectiveness of the proposed method. On the Shanghai Stock Exchange Index dataset, the Investment Return Ratio (IRR) obtained by using the predict results of our method to guide the exchange reached 1.416, and the Sharpe Ratio (SR) reached 2.346. On the Shenzhen Stock Exchange Index dataset, the IRR reached 1.434 and the Sharpe ratio reached 2.317. On the S&P500, the IRR reached 1.491 and the Sharpe ratio reached 2.031.     

一种基于多特征融合的自适应目标跟踪策略

为了提升目标物体的跟踪性能,分析了跟踪系统的不足之处,针对多变场景中跟踪目标特征弱化问题,采用了多特征融合的跟踪模式,并设计了场景识别、多特征融合策略和特征学习模块以改善目标跟踪系统的跟踪性能,实验表明该方法对多变场景的跟踪性能具有一定的改善作用。     

BFGS算法综述

目前对一般无约束最优化问题的研究主要是以拟牛顿算法为主,并且随着研究的深入,各种基于修改原始拟牛顿方程的新拟牛顿算法取得了较好的成果。文章主要对几种改进后的算法做个综述。     

On selection and combining of relevance indicators

Identifying and representing the content of a document was, and still is, one of the main concerns of information retrieval systems. Representation of content is not dependent of the search strategy and other elements of information retrieval systems (IRS) but rather has some relationship with them.In the conventional IRS, each document in the file is characterized by one or more index terms which supposedly describe its content. Those terms are assigned from the natural language or from a pre-prepared list (Thesaurus). Over the years, other means of representing content were suggested. Also, attempts were made to combine several of them assuming independence.This paper discusses the attributes of the items in the data-base and their qualities. It seems that there is no single one which has all the desired qualities.If the attributes are not totally independent neither highly correlated then combining them in a certain way may increase effectiveness. The justification for this comes from the users' information seeking behavior—users are using index terms, author's names, citations, and other attributes in their searches.A model to accomodate the above hypothesis is formulated and the small experiment performed indicates that the hypothesis may be true, and this way of combining might improve effectiveness.     

公路检测仪器现场计量检定的可操作性

本文简要分析用于公路工程试验的计量仪器存在的问题及其在计量检定过程中的影响。     

A Pseudo-relevance feedback framework combining relevance matching and semantic matching for information retrieval

Pseudo-relevance feedback (PRF) is a well-known method for addressing the mismatch between query intention and query representation. Most current PRF methods consider relevance matching only from the perspective of terms used to sort feedback documents, thus possibly leading to a semantic gap between query representation and document representation. In this work, a PRF framework that combines relevance matching and semantic matching is proposed to improve the quality of feedback documents. Specifically, in the first round of retrieval, we propose a reranking mechanism in which the information of the exact terms and the semantic similarity between the query and document representations are calculated by bidirectional encoder representations from transformers (BERT); this mechanism reduces the text semantic gap by using the semantic information and improves the quality of feedback documents. Then, our proposed PRF framework is constructed to process the results of the first round of retrieval by using probability-based PRF methods and language-model-based PRF methods. Finally, we conduct extensive experiments on four Text Retrieval Conference (TREC) datasets. The results show that the proposed models outperform the robust baseline models in terms of the mean average precision (MAP) and precision P at position 10 (P@10), and the results also highlight that using the combined relevance matching and semantic matching method is more effective than using relevance matching or semantic matching alone in terms of improving the quality of feedback documents.     

牛黄解毒片不良反应文献分析

目的 了解牛黄解毒片不良反应发生的情况.方法 通过对近年来国内公开发表医学期刊中有关牛黄解毒片的不良反应文献14篇,共24例进行统计分析.结果 24例牛黄解毒片引起的不良反应主要表现为药疹、过敏性休克,其次是皮肤、泌尿系统.结论 牛黄解毒片引起的不良反应,应大力加强有关中药安全用药知识的普及,规范临床合理应用,提高中药制剂质量,实施对中药制剂不良反应的控制、监测.     

Retrieval of images by spatial and object similarities

In the last several decades it has become an important basis to retrieve images from image databases (IDBs) by the semantic information held in the image objects and the spatial patterns formed by these objects. In this paper, we propose a new method for similarity retrieval of symbolic images by both the attributes and the spatial relationships of the contained objects. The proposed method CPM (common pattern method) retains the common spatial patterns of two images in new data structures CP_DAG (common pattern directed acyclic graph) and performs the similarity calculation efficiently in practice. The conducted experiments use both a synthetic dataset and an existing image database. The experimental results show that CPM outperforms LCS_Clique, SIM_R, SIM_DTC, and 2D Be-string for average efficiency and effectiveness. CPM also has steady efficiency while the number of image objects and the object symbol duplication rates increase.     

Making a space for taste: Context and discourse in the specialty coffee scene

Connoisseur consumption is continuing to grow in popularity, with more niche retailers and specialty firms servicing increasingly discerning consumers. Despite the wealth of consumer data from social media platforms, there has been little empirical focus on how consumers make sense of their experiences after interacting with cultural interlocutors from niche industries with highly specialized knowledge. In order to scrutinize the process of distinction making in practice and reception, this study employs a mixed methods approach to triangulate the production, reception, and practice of taste-making at four coffee fairs held in Toronto, Ontario, and Hamilton, Ontario. Through ethnographic fieldwork, conventional content analysis, and a discourse network analysis of social media usage from attendees, this study finds that there are important contextual differences that affect which discourses are present in-person and appear online.     

GIS在矿产资源预测确定靶区中的运用

本文从我国矿产资源的现状入手,分析了矿产资源不客乐观的形势．提出了在矿产资源的预测中借助于先进的科学技术——GIS以促进其科学预测从而确定靶区。并着重介绍了GIS在矿产预测中的一般流程。另外还简单介绍了两个与GIS有关的软件。     

The body and communities in cyberspace: A Mmarcellian analysis

Many who speak glowingly about the possibilities for human relations in cyberspace, or virtual communities, laud them precisely because such communities are to a great extent free of the real spatial-temporal restrictions rooted in the limitations of our bodies. In this paper I investigate the importance of the body in establishing and maintaining human relations by considering the thought of the twentieth century French philosopher Gabriel Marcel. Because Marcel emphasized the central importance of the body in one's personal self-identity as well as in initiating and maintaining intersubjective bonds in human communities, he is able to offer some interesting reflections on the character of virtual communities. I suggest that a number of the features of cyberspace and its communities that make it attractive to many are precisely the characteristics that Marcel would consider detrimental to establishing intimate lasting human communities. I conclude by indicating why I think that Marcel would be concerned that certain trends in our high tech culture may well lead many to prefer ``living' in virtual, rather than real communities.     

关于广东产学研相结合的思考

党的十六届五中全会提出,要建立以企业为主体、市场为导向、产学研相结合的技术创新体系,形成自主创新的基本体制架构。面对新的形势,广东如何在自主创新中争创新优势?创新型广东如何实现?产学研结合是根本途径。     

协作多点通信系统中的资源分配算法及仿真

为了进一步提高协作多点通信系统的系统性能,文章将小区中的用户分为小区边缘用户和小区中心用户,小区中心用户采用单小区服务的方式,而小区边缘用户采用多小区服务的方式,并为小区边缘用户选择路径增益最大的两个小区为其提供服务。仿真结果表明,所提出的算法有效地提高了小区边缘用户的吞吐量,明显降低了用户掉话率。     

对开采老窿矿山边残矿体的一些看法

对于资源枯竭或经济濒危的老窿矿山,研究边残矿体的回采利用问题,对提高矿产资源利用率,延长矿山寿命,提高经济增长点,是一项有显著的现实意义和长远意义的工作,已被越来越多的矿山所重视。     

常用的亚像素边缘检测方法的对比研究

为满足图像测量等工程应用中需获取被测目标的高精度图像边缘信息的要求,文章在分析亚像素边缘检测方法的机理上,介绍了目前几种常用的亚像素边缘检测检测方法,主要包括:基于插值的亚像素边缘检测、基于拟合的亚像素边缘检测、基于矩的亚像素边缘检测、基于小波变换的亚像素边缘检测;通过分析每种亚像素边缘检测方法的原理,对各种方法的优缺点进行了对比。