关注贫困家庭学龄前儿童的美国艺术博物馆课程及其启示——以克拉克艺术博物馆艺术开端课程为例     

温虹 《美育学刊》2020,11(2):20-26

美国克拉克艺术博物馆在全美“开端计划”基础上,结合艺术博物馆的公共教育资源策划和实施了面向贫困家庭学龄前儿童的艺术开端课程,这种发生在艺术博物馆里的正式幼儿教育课程对我国正在蓬勃兴起和发展的美术馆教育有重要的启发意义。通过研究艺术开端课程的策划与实施,可以针对国内美术馆幼儿教育现状提出从普遍性到针对性的幼儿群体课程开发、美术馆幼儿课程评价体系建立等一系列馆园合作方式与建议,以改变目前美术馆零散性亲子活动为主的现状,并能构建与幼儿园更好衔接的馆园合作课程。  相似文献   

试论《明人十二像册》高度写真风格的中国渊源     

黄乐乐 《美育学刊》2020,11(2):116-120

现藏于南京博物院的一批无款写真头像《明人十二像册》,是中国写实画的一座高峰。对于这个像册的绘画风格,现当代学者多半都偏向认为是受到西方绘画的影响。但经与西方圣像画比较研究,像册仍属于中国本土的绘画传统,受到了宋代山水画和花鸟画高度写真精神的影响。  相似文献   

基于深度学习的SSD模型尾矿库自动提取     

闫凯  沈汀  陈正超  闫弘轩 《中国科学院大学学报》2020,37(3):360-367

针对华北地区尾矿库自动提取问题，将基于深度学习的SSD目标检测模型应用于遥感图像尾矿库提取。首先标记华北地区2 000个样本，随机挑选1 500个作为训练样本，剩余样本作为测试样本，验证模型的检测精度。分析卷积层对应感受野与图像中尾矿库尺寸关系，发现原始SSD模型漏检误检大型尾矿库。改进SSD模型结构，提出增加额外卷积层的策略，提高对大型尾矿库目标的检测精度。实验表明，在置信度阈值为0.3时，改进的SSD模型相比原始模型，检测精确率提高10.0%，召回率提高14.4%，提高了大型尾矿库检测精度。验证了基于深度学习的SSD目标检测模型自动提取尾矿库的可行性以及改进算法的有效性。  相似文献   

非稳态雾赋能网络中的在线任务卸载方法     

朱兆伟  刘婷  钱骅  罗喜良 《中国科学院大学学报》2020,37(5):699-707

为充分发掘分布在不同位置上的雾节点的计算资源，任务卸载被寄予众望。在雾计算场景下，以尽可能减少任务卸载的长期成本为目标，试图寻找一个高效的在线任务卸载方法。为此，这一问题被建模成一个随机规划问题，该问题中系统参数所对应的随机变量的期望会在未知时刻突变，系统参数相关信息只能在任务完成后的反馈中获得。基于非稳态多臂老虎机模型，提出一个高效的算法来解决这一具有挑战性的随机优化问题，给出理论分析证明该算法的渐进最优性。数值实验证明了该算法的优越性。  相似文献   

Experimental and Numerical Analysis of a Novel Display Case Design: Case Study of the Renovated Anne Frank House     

Karin Kompatscher  Bart Ankersmit  Edgar Neuhaus  Marcel A.P. van Aarle  Jos W.M. van Schijndel  Henk L. Schellen 《文物保护研究》2020,65(5):262-284

ABSTRACT

Many museums are housed in historic buildings, sometimes the building itself is part of the museum collection. Creating a stable environment by providing a nearly constant temperature and relative humidity at correct levels decreases the risk of object degradation. Maintaining this steady indoor environment, however, increases energy consumption and risks to the historic building. Museum display cases offer a solution to the mitigation of risks to which valuable objects may be subjected by providing an extra layer of protection to indoor climate fluctuations. The Anne Frank House is a historic house museum located in Amsterdam. The museum has undergone several renovations in the last years to deal with an increase in the number of visitors to over 1.2 million a year. The original diaries and other documents of Anne Frank are permanently on display in the Anne Frank House. With the recent refurbishment the possibility arose to design a new state-of-the-art display case. This study presents the results of the experimental research related to the design, performed in-situ. The temperature and relative humidity in the new exhibition space and inside the new display cases were monitored to gain insight into the hygrothermal behavior of these controlled environments. A complementary numerical study was performed to investigate effects of dynamic climate control of the exhibition gallery and climate conditions in the display case under various circumstances. Four main conclusions are presented in this paper. The investigated display case design is able to provide a stable relative humidity environment by means of silica gel, while using an active box-in-box climate control system to create stable temperature conditions. The inner case temperature depends on the temperature supplied by the display case air handling unit. Protocols must be in place in case of malfunction or failure of the climate control system of the display case. The air handling unit of the case needs to be shut off to create a passive environment for the objects on display until necessary actions are taken. Exhibition gallery set points can be less stringent when susceptible museum objects are on display in the display case. The environments are separated and provide an opportunity for energy saving set point strategies. The last conclusion drawn is that the numerical study provides valuable insight into imposing dynamic control of set points for temperature and relative humidity in the exhibition gallery and the effect on the display case environment.  相似文献   

Reconsidering the use of video clubs for student-teachers' learning during field placement: Lessons drawn from a longitudinal multiple case study     

《Teaching and Teacher Education》2018

Although video clubs have been used to support (student) teachers' learning through reflection upon practice, less attention has been paid to their potential use for supporting changes in participants' practice over a period of time. Prior work has also largely treated (student) teachers as an undifferentiated whole that benefits in similar ways from video clubs. In this study, we problematize this assumption by drawing on three cases of student teachers to exemplify three different learning paths while participating in a video club during field placement. Reflecting on these findings, we discuss implications for differentiating the video-club approach to address different student teachers.  相似文献   

An analysis of review content and reviewer variables that contribute to review helpfulness     

MSI Malik  Ayyaz Hussain 《Information processing & management》2018,54(1):88-104

Review helpfulness is attracting increasing attention of practitioners and academics. It helps in reducing risks and uncertainty faced by users in online shopping. This study examines uninvestigated variables by looking at not only the review characteristics but also important indicators of reviewers. Several significant review content and two reviewer variables are proposed and an effective review helpfulness prediction model is built using stochastic gradient boosting learning method. This study derived a mechanism to extract novel review content variables from review text. Six popular machine learning models and three real-life Amazon review data sets are used for analysis. Our results are robust to several product categories and along three Amazon review data sets. The results show that review content variables deliver the best performance as compared to the reviewer and state-of-the-art baseline as a standalone model. This study finds that reviewer helpfulness per day and syllables in review text strongly relates to review helpfulness. Moreover, the number of space, aux verb, drives words in review text and productivity score of a reviewer are also effective predictors of review helpfulness. The findings will help customers to write better reviews, help retailers to manage their websites intelligently and aid customers in their product purchasing decisions.  相似文献   

Statistical learning for OCR error correction     

Jie Mei  Aminul Islam  Abidalrahman Moh’d  Yajing Wu  Evangelos Milios 《Information processing & management》2018,54(6):874-887

Modern OCR engines incorporate some form of error correction, typically based on dictionaries. However, there are still residual errors that decrease performance of natural language processing algorithms applied to OCR text. In this paper, we present a statistical learning model for post-processing OCR errors, either in a fully automatic manner or followed by minimal user interaction to further reduce error rate. Our model employs web-scale corpora and integrates a rich set of linguistic features. Through an interdependent learning pipeline, our model produces and continuously refines the error detection and suggestion of candidate corrections. Evaluated on a historical biology book with complex error patterns, our model outperforms various baseline methods in the automatic mode and shows an even greater advantage when involving minimal user interaction. Quantitative analysis of each computational step further suggests that our proposed model is well-suited for handling volatile and complex OCR error patterns, which are beyond the capabilities of error correction incorporated in OCR engines.  相似文献   

Location extraction from tweets     

Thi Bich Ngoc Hoang  Josiane Mothe 《Information processing & management》2018,54(2):129-144

Five hundred million tweets are posted daily, making Twitter a major social media platform from which topical information on events can be extracted. These events are represented by three main dimensions: time, location and entity-related information. The focus of this paper is location, which is an essential dimension for geo-spatial applications, either when helping rescue operations during a disaster or when used for contextual recommendations. While the first type of application needs high recall, the second is more precision-oriented. This paper studies the recall/precision trade-off, combining different methods to extract locations. In the context of short posts, applying tools that have been developed for natural language is not sufficient given the nature of tweets which are generally too short to be linguistically correct. Also bearing in mind the high number of posts that need to be handled, we hypothesize that predicting whether a post contains a location or not could make the location extractors more focused and thus more effective. We introduce a model to predict whether a tweet contains a location or not and show that location prediction is a useful pre-processing step for location extraction. We define a number of new tweet features and we conduct an intensive evaluation. Our findings are that (1) combining existing location extraction tools is effective for precision-oriented or recall-oriented results, (2) enriching tweet representation is effective for predicting whether a tweet contains a location or not, (3) words appearing in a geography gazetteer and the occurrence of a preposition just before a proper noun are the two most important features for predicting the occurrence of a location in tweets, and (4) the accuracy of location extraction improves when it is possible to predict that there is a location in a tweet.  相似文献   

影响高职思政课学生学习效果的关键因素与对策     

高衍玉 《教育教学论坛》2020,(3):369-370

高职思想政治课的学习效果直接关系到立德树人这一根本任务的落实。在影响高职思想政治课学习效果的诸多因素中,学生自身需求是关键因素。针对这一关键因素,高职思想政治课教师需要综合运用多种措施满足学生需求,提高思想政治课学习效果,真正落实立德树人的根本任务。  相似文献