基于整体特征的快速英文字母识别方法

文章提出了一种基于整体特征的小写英文字母识别方法.首先根据字母图像的赋值背景提取其整体特征,然后构建7个模板进行模板匹配.该方法不需要对图像作复杂的细化处理、轮廓提取等,减少了可能带来的误识和拒识,也不需要现有神经网络方法的长期训练,因而简单快速.同时,不同字体的字母图像其整体特性基本相同,因此识别率较高.     

CloudRank-D: benchmarking and ranking cloud computing systems for data processing applications

With the explosive growth of information, more and more organizations are deploying private cloud systems or renting public cloud systems to process big data. However, there is no existing benchmark suite for evaluating cloud performance on the whole system level. To the best of our knowledge, this paper proposes the first benchmark suite CloudRank-D to benchmark and rank cloud computing systems that are shared for running big data applications. We analyze the limitations of previous metrics, e.g., floating point operations, for evaluating a cloud computing system, and propose two simple metrics: data processed per second and data processed per Joule as two complementary metrics for evaluating cloud computing systems. We detail the design of CloudRank-D that considers representative applications, diversity of data characteristics, and dynamic behaviors of both applications and system software platforms. Through experiments, we demonstrate the advantages of our proposed metrics. In several case studies, we evaluate two small-scale deployments of cloud computing systems using CloudRank-D.     

基于人工势场方法的WSN传感覆盖率提高算法

感覆盖率是WSN系统中重要的性能指标之一。Sink节点的移动性能提高系统的传感覆盖率,人工势场能描述普通节点与Sink节点之间的关系。提出了一种利用人工势场方法有效的Sink节点移动控制策略,通过Sink节点的移动能够提高系统的传感覆盖率。普通节点搜集的数据能通过多跳的方式传送给Sink节点。在最初的随机部署之后,由人工势场产生的力迫使移动Sink节点移动到整个环境中的平衡点以获得更高的传感覆盖率。在整个算法执行过程中无需事先了解环境的情况,此方法能在实时的环境中采用。给出了具体的算法步骤,最后利用一个仿真实例对控制效果进行了说明。     

锡膏激光扫描三维测量系统光强自适应调节技术

根据锡膏激光扫描三维测量系统在测量PCB电路板时底板和锡膏对激光光强的散射效果不同,设计并研制了一套光强自适应调节光源。该光源以程控电源为基础,分析光条中心提取效果与激光光强的关系,应用小波分解与频带能量比相结合的光强自适应调节算法实现测量系统光强自适应调节功能。进行了相关实验,实验结果表明该光源能够很好地实现锡膏激光扫描三维测量系统的激光光强自适应调节,并能选出最适合测量的激光光强,具有很好的适用性。     

编程思维训练通用模型研究与实现

程序设计类课程是培养学生逻辑编程能力的基本课程之一,但目前普遍反映出学生对此类课程的学习兴趣不浓,对程序设计与实现的逻辑思维混乱不清,学习效果较差。如何脱离编程语言本身,运用模拟现实生活的思维训练模型来形象地展示编程的原理与逻辑流程,以提高学生对程序设计的逻辑思维能力和学习效果是本文研究的重点。     

Comparison of Representative Heuristic Algorithms for Multi-Objective Reservoir Optimal Operation

Heuristic algorithms (HAs) are widely used in multi-objective reservoir optimal operation (MOROO) due to the rapidity of the calculation and simplicity of their design. The literature usually focuses on one or two categories of HAs and simply reviews the state of the art. To provide an overall understanding and a specific comparison of HAs in MOROO, differential evolution (DE), particle swarm optimisation (PSO), and artificial physics optimisation (APO), which serve as typical examples of the three categories of HAs, are compared in terms of the development and applications using a designed experiment. Besides, the general model with constraints and fitness function, and the solution process using a hybrid feasible domain restoration method and penalty function method are also presented. Taking a designed experiment with multiple scenarios, the mean average of the optimal objective function values, the standard deviation of optimal objective function values, the mean average of the computational time, and population diversity are used for comparisons. Results of the comparisons show that (a) the problem of optimal multipurpose reservoir long-term operation is a mathematic programming problem with narrow feasible region and monotonic objective function; (b) it is easy to obtain the same optimal objective function value, but different optimal solutions using HAs; and (c) comparisons do not result in a clear winner, but DE can be more appropriate for MOROO.

     

昆明市污泥处理处置现状及对策研究

城镇生活污水处理厂在削减水污染负荷的同时也会产生大量污泥,如果不能妥善处理处置,会造成二次污染和资源浪费.目前,昆明市共有38座城镇生活污水处理厂,日产污泥1059 t,其中主城区污泥产生量占全市的77.8％.昆明市污泥处理处置经历了从简易堆存到资源化利用的规范化过程.以昆明市为例,分析当代城市污泥处理处置技术路径的选择,并进行污泥管理现状分析和处理处置成本测算,提出进一步完善污泥处理处置工作的建议.     

220kV线路工程滑坡地质灾害危险性分析

文章介绍了喜德县红莫升压站-鲁基升压站220kV线路工程滑坡地质灾害危险性现状评估和预测评估,确定了评估区内滑坡地质灾害对工程的影响,以及工程建设加剧已有滑坡地质灾害的危险性和自身可能遭受已存在滑坡地质灾害的危险性。据此评估结果,为工程在建设过程中提出了具体的防治处理措施建议。     

基于SWMM模型模拟的海绵城市建设效果评估——以北京市房山区为例

为定量评估房山区现状海绵建设情况,支撑2020年海绵城市达标考核工作,采用资料收集结合现场调研的方式获取各类海绵建设项目信息并进行校核,借助ArcGIS软件将海绵设施数字化,并以排水分区为单元完成落图.基于暴雨径流管理模型SWMM软件构建全区数值模型,将调研的海绵设施概化到模型中开展模拟评估.结果表明:截至2020年底,房山全区有效海绵项目418个,主要分布在拱辰及西潞街道、长阳镇、良乡镇、窦店镇、阎村镇、城关街道及燕山地区.模拟结果表明城市建成区达标面积为13.73 km2,达标比例20.46％.本项目研究方法可为全市其他区的海绵现状评估提供参考.     

CoGCN: Combining co‐attention with graph convolutional network for entity linking with knowledge graphs

Entity linking is a fundamental task in natural language processing. The task of entity linking with knowledge graphs aims at linking mentions in text to their correct entities in a knowledge graph like DBpedia or YAGO2. Most of existing methods rely on hand‐designed features to model the contexts of mentions and entities, which are sparse and hard to calibrate. In this paper, we present a neural model that first combines co‐attention mechanism with graph convolutional network for entity linking with knowledge graphs, which extracts features of mentions and entities from their contexts automatically. Specifically, given the context of a mention and one of its candidate entities' context, we introduce the co‐attention mechanism to learn the relatedness between the mention context and the candidate entity context, and build the mention representation in consideration of such relatedness. Moreover, we propose a context‐aware graph convolutional network for entity representation, which takes both the graph structure of the candidate entity and its relatedness with the mention context into consideration. Experimental results show that our model consistently outperforms the baseline methods on five widely used datasets.