Fastest recovery after feedback disruption: nonlinear delay-differential systems

The problem of reducing operating errors after a feedback disruption is considered for a class of nonlinear delay-differential systems. It is shown that there are optimal controllers that reduce such errors in minimal time, once feedback has been restored. It is further shown that optimal performance can be approximated by bang-bang controllers – controllers that are easy to design and implement.     

Building a text collection for Urdu information retrieval

Urdu is a widely spoken language in the Indian subcontinent with over 300 million speakers worldwide. However, linguistic advancements in Urdu are rare compared to those in other European and Asian languages. Therefore, by following Text Retrieval Conference standards, we attempted to construct an extensive text collection of 85 304 documents from diverse categories covering over 52 topics with relevance judgment sets at 100 pool depth. We also present several applications to demonstrate the effectiveness of our collection. Although this collection is primarily intended for text retrieval, it can also be used for named entity recognition, text summarization, and other linguistic applications with suitable modifications. Ours is the most extensive existing collection for the Urdu language, and it will be freely available for future research and academic education.     

基于反馈Hough变换的管道点云检测和识别

管道是流程工厂的主体，其几何形状表现为圆柱体或圆台。针对现有管道检测识别方法对噪声较为敏感、检测精度不高、检测结果难以验证等问题，本文提出一种具有轴向反馈修正的三维霍夫变换方法。首先，根据八叉树划分点云空间，计算点云法向量并生成圆柱体或圆台高斯映射图，利用三维霍夫变换法估计初始轴向；然后，基于初始轴向计算圆柱体横截面或圆台投影轮廓，并建立轴向优化目标函数，通过迭代优化获得最终的轴向；最后通过霍夫变换法拟合圆柱体或圆台轴心位置并计算半径值。实验结果表明，该方法可有效提高管道轴向、半径等参数的估算准确度，同时，本文提出的优化目标函数也为检测结果提供了一种新的评价方法。     

计算机辅助汉字书写教学技术研究综述

传统的汉字书写教学方法具有一定的局限性，为此人们开始关注计算机辅助的汉字书写教学技术。它主要研究汉字书写规范的智能化、自动化评判方法以及可视化的反馈形式。对近20年来计算机辅助汉字书写教学技术的发展情况进行了综述；详细介绍了数字化展示、书写评判、水平评测等几个研究分支的特点、关键问题以及主要成果；结合相关技术的发展和需求的变化，提出了汉字书写数字化教学技术在未来的发展方向。     

Supporting ontology adaptation and versioning based on a graph of relevance

Ontologies recently have become a topic of interest in computer science since they are seen as a semantic support to explicit and enrich data-models as well as to ensure interoperability of data. Moreover, supporting ontology adaptation becomes essential and extremely important, mainly when using ontologies in changing environments. An important issue when dealing with ontology adaptation is the management of several versions. Ontology versioning is a complex and multifaceted problem as it should take into account change management, versions storage and access, consistency issues, etc. The purpose of this paper is to propose an approach and tool for ontology adaptation and versioning. A series of techniques are proposed to ‘safely’ evolve a given ontology and produce a new consistent version. The ontology versions are ordered in a graph according to their relevance. The relevance is computed based on four criteria: conceptualisation, usage frequency, abstraction and completeness. The techniques to carry out the versioning process are implemented in the Consistology tool, which has been developed to assist users in expressing adaptation requirements and managing ontology versions.     

三种不同外环反馈方式在PWM整流器中的比较

首先介绍了三相电压型脉宽调制(PWM)整流器在d,q坐标系下的数学模型。为提高整流器的控制性能,提出以电容储能为外环控制目标的反馈控制策略。针对3种不同的外环反馈控制方式进行理论分析,设计方法介绍和对比实验。结果表明,能量-电流双闭环在响应的快速性和稳定性上最好。     

Evaluation of log‐of‐power extremum seeking control for wind turbines using large eddy simulations

The extremum seeking control (ESC) algorithm has been proposed to determine operating parameters that maximize power production below rated wind speeds (region II). This is usually done by measuring the turbine's power signal to determine optimal values for parameters of the control law or actuator settings. This paper shows that the standard ESC with power feedback is quite sensitive to variations in mean wind speed, with long convergence time at low wind speeds and aggressive transient response, possibly unstable, at high wind speeds. The paper also evaluates the performance, as measured by the dynamic and steady state response, of the ESC with feedback of the logarithm of the power signal (LP‐ESC). Large eddy simulations (LES) demonstrate that the LP‐ESC, calibrated at a given wind speed, exhibits consistent robust performance at all wind speeds in a typical region II. The LP‐ESC is able to achieve the optimal set‐point within a prescribed settling time, despite variations in the mean wind speed, turbulence, and shear. The LES have been conducted using realistic wind input profiles with shear and turbulence. The ESC and LP‐ESC are implemented in the LES without assuming the availability of analytical gradients.     

Process-mining enabled feedback: “Tell me what I did wrong” vs. “tell me how to do it right”

Fast advancement of technology has led to an increased interest for using information technology to provide feedback based on learning behavior observations. This work outlines a novel approach for analyzing behavioral learner data through the application of process mining techniques specifically targeting a complex problem solving process. We realize this in the context of one particular learning case, namely, domain modeling. This work extends our previous research on process-mining analysis of domain modeling behavior of novices by elaborating with new insights from a replication study enhanced with an extra observation on how novices verify/validate models. The findings include a set of typical modeling and validation patterns that can be used to improve teaching guidance for domain modeling courses. From a scientific viewpoint, the results contribute to improving our knowledge on the cognitive aspects of problem-solving behavior of novices in the area of domain modeling, specifically regarding process-oriented feedback as opposed to traditional outcome feedback (is a solution correct? Why (not)?) usually applied in this type of courses. Ultimately, the outcomes of the work can be inspirational outside of the area of domain modeling as learning event data is becoming readily available through virtual learning environments and other information systems.     

Market opportunity recognition in the Chilean wine industry: traditional versus relational marketing approaches

The aim of this paper is to examine how wine firms implement their marketing strategies based on the recognition of market opportunities by their Chief Executive Officers (CEOs). Firstly, we describe the marketing activities in 69 traditional Chilean wine firms. Then, in-depth interviews with CEOs of two wineries are analysed using cognitive maps to uncover the cognitive processes responsible for recognizing and executing market activities. Our findings indicate that there is a similar set of strategic resources across the wineries, but the CEOs’ different perceptions of the usefulness of these resources in the implementation of marketing strategies have led them to select diverse strategies to increasing both the price per bottle and wine sales. This paper makes two contributions. Firstly, we compare the benefit of implementing traditional and relational marketing strategies in the Chilean wine industry. Secondly, we show that the CEOs’ perception of feedback processes among the available resources affects the recognition of market opportunities and the marketing strategy in wine firms.