Course Design of College English Listening with Content-based syllabus

本文基于对非英语专业学生进行的问卷调查,根据发现的听力问题进行分析,然后按照基于内容的教学大纲进行了有针对性的听力课程设计。

Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space

Recently, there have been some attempts of Transformer in 3D point cloud classification. In order to reduce computations, most existing methods focus on local spatial attention,but ignore their content and fail to establish relationships between distant but relevant points. To overcome the limitation of local spatial attention, we propose a point content-based Transformer architecture, called PointConT for short. It exploits the locality of points in the feature space(content-based), which clusters the sampled points with similar features into the same class and computes the self-attention within each class, thus enabling an effective trade-off between capturing long-range dependencies and computational complexity. We further introduce an inception feature aggregator for point cloud classification, which uses parallel structures to aggregate high-frequency and low-frequency information in each branch separately. Extensive experiments show that our PointConT model achieves a remarkable performance on point cloud shape classification. Especially, our method exhibits 90.3% Top-1 accuracy on the hardest setting of ScanObjectN N. Source code of this paper is available at https://github.com/yahuiliu99/PointC onT.

在线Syllabus的评价标准模型研究

随着高等学校教学规模越来越大,教学手段亟待提高是当务之急。理论课程在线教育已经越来越显重要。为了提高在线课程质量和可用性,有必要给出评价形式和评价内容标准模型。本文提出在线syllabus的评价标准模型。越来越多的理论课程开发了在线教育,也就越来越需要评价形式和内容来提高它们的质量和可用性。在线syllabus评价方法可以被用作开发和评价有效的在线大纲的指南。

高质量的课堂教学来自于精心设计——美国林肯大学Syllabus剖析

美国林肯大学课堂教学有一个小小文件—— Syllabus。本文通过对 Syllabus比较详细的说明和分析 ,透视出提高课堂教学质量和效果的一个重要思想

采用Syllabus概念建立互动式课程教学计划

Syllabus可以用来鼓励学生积极参与课程学习和建立一个有效的课堂气氛,但其有效设计方法和使用的讨论却很少出现。该文在目前Syllabus研究理论的基础上,分析了Syllabus基本概念、以学生为中心编制Syllabus的方法和步骤以及对我校中外合作办学专业教学和学习过程产生积极影响的因素。

Auto-expanded multi query examples technology in content-based image retrieval

In order to narrow the semantic gap existing in content-based image retrieval （CBIR）,a novel retrieval technology called auto-extended multi query examples （AMQE） is proposed.It expands the single one query image used in traditional image retrieval into multi query examples so as to include more image features related with semantics.Retrieving images for each of the multi query examples and integrating the retrieval results,more relevant images can be obtained.The property of the recall-precision curve of a general retrieval algorithm and the K-means clustering method are used to realize the expansion according to the distance of image features of the initially retrieved images.The experimental results demonstrate that the AMQE technology can greatly improve the recall and precision of the original algorithms.

采用Syllabus概念 建立课程教学计划制度

介绍了西方传统教育理论的课程教学计划(syllabus)概念。以实例为基础,把现行的课程教学大纲、课程进度计划和课程教学计划的功能进行了比较,指出前两者不能代替后者。对课程教学计划的内容和形式进行了说明,建议采用传统的syllabus概念,建立和完善我国的大学课程教学计划制度。

Active learning based on maximizing information gain for content-based image retrieval

This paper describes a new method for active learning in content-based image retrieval. The proposed method firstly uses support vector machine (SVM) classifiers to learn an initial query concept. Then the proposed active learning scheme employs similarity measure to check the current version space and selects images with maximum expected information gain to solicit user's label. Finally, the learned query is refined based on the user's further feedback. With the combination of SVM classifier and similarity measure, the proposed method can alleviate model bias existing in each of them. Our experiments on several query concepts show that the proposed method can learn the user's query concept quickly and effectively only with several iterations.

On Task-based Syllabus

Task-based syllabus (TBS) is organized around tasks. The basic theoretical foundation of TBS is Krashen's acquisition theory.from the L2 acquisition theory. The characteristic of TBS is focus of process of learning. TBS can improve communicative competence of learners, but it ignores grammar learning and teaching. The application of TBS in China is wide and the author provides an example.

Educational Linguistics and College English Syllabus Design

The direct application of linguistic theories to syllabus design gives rise to frequent change of syllabus type in the history of syllabus development, which makes language teachers feel difficult to adapt to, to adopt and to implement. The recognition and popularization of the new-born discipline educational linguistics servers as a method to ease the situation, especially in the college English syllabus design in China. The development and application of the fruitful achievements in educational linguistics is bound to provide us with a more scientific approach to syllabus design in the future.

A Study on Task-based Language Teaching Syllabus Design

Task-based teaching syllabus becomes more and more popular in modern English teaching. It is widely used in the English teaching from junior to senior high school and even to collage and university education. This paper is mainly studies the relevant research on task-based teaching syllabus and offers some tips on task-based syllabus design.

Syllabus Design for Aviation Basic English Based on ESP

The needs analysis of Aviation Basic English course on ESP teaching is emphasized and the syllabus is designed here to instruct the better pre-job training for the students in the major of aircraft manufacturing technology.

Syllabus in the Light of Keeping Pace with the Times

Drawing up of syllabus plays a very important role in directing college English teaching. With the fast developing pace of the situation and the increasing requirements for undergraduates＇ English level, the available Syllabus is obviously far from satisfaction. This paper, from six perspectives, expounds the inadequacies and drawbacks of the Syllabus. It points out that college English teaching and the Syllabus need reform and should keep pace with the times.

Analysis of Task-based Syllabus

Task-based language teaching is very popular in the modern English teaching.It is based on the Task-based Syllabus. Task-based Syllabus focuses on the learners' communicative competence,which stresses learning by doing. From the theoretical assumption and definitions of the task,the paper analysizes the components of the task, then points out the merits and demerits of the syllabus. By this means the paper may give some tips to teachers and students when they use the tsk-based language teaching.

An Empirical Study on Classroom Learning Anxiety of Secondary Vocational English Learners in Content-based Instruction

This research aims to study the relationship between content-based instruction and secondary vocational English learners.Two classes in one secondary vocational school were chosen as participants.The result shows that CBI teaching has a negative correlation with English learning anxiety and has an impact on alleviating students' anxiety.

Needs Analysis and Syllabus of English Teaching:A Case Study

The foundation of any teaching program should be the needs of the students.A syllabus can be successful only if it meets the needs of the particular group of students for whom it is intended.However,close needs analysis has been absent in some English classes.The present study aimed to solve the problem of the possible mismatch between English learners and teachers especially in the intensive English training class.To identify the English students' needs in an intensive English training class,the questionnaires designed by the researcher were administered to the students.It was found that the English teaching would be based on real communication.Finally,the tentative syllabus was designed for English teaching based on the result of the need analysis.

An Efficient Content-Based Image Retrieval System Using kNN and Fuzzy Mathematical Algorithm

The implementation of content-based image retrieval(CBIR)mainly depends on two key technologies:image feature extraction and image feature matching.In this paper,we extract the color features based on Global Color Histogram(GCH)and texture features based on Gray Level Co-occurrence Matrix(GLCM).In order to obtain the effective and representative features of the image,we adopt the fuzzy mathematical algorithm in the process of color feature extraction and texture feature extraction respectively.And we combine the fuzzy color feature vector with the fuzzy texture feature vector to form the comprehensive fuzzy feature vector of the image according to a certain way.Image feature matching mainly depends on the similarity between two image feature vectors.In this paper,we propose a novel similarity measure method based on k-Nearest Neighbors(kNN)and fuzzy mathematical algorithm(SBkNNF).Finding out the k nearest neighborhood images of the query image from the image data set according to an appropriate similarity measure method.Using the k similarity values between the query image and its k neighborhood images to constitute the new k-dimensional fuzzy feature vector corresponding to the query image.And using the k similarity values between the retrieved image and the k neighborhood images of the query image to constitute the new k-dimensional fuzzy feature vector corresponding to the retrieved image.Calculating the similarity between the two kdimensional fuzzy feature vector according to a certain fuzzy similarity algorithm to measure the similarity between the query image and the retrieved image.Extensive experiments are carried out on three data sets:WANG data set,Corel-5k data set and Corel-10k data set.The experimental results show that the outperforming retrieval performance of our proposed CBIR system with the other CBIR systems.

The Training and Performance of Emergency Physicians as Anesthetists for International Medical Surgical Response Teams: The Emergency Physician’s General Anesthesia Syllabus (EP GAS)

Background: The availability of an anesthesiologist is often a limiting factor in the number of operations that can be performed by International Medical Surgical Response Teams (IMSuRT). Because emergency physicians (EPs) possess skills in airway control, management of moderate and deep sedation, and ventilator management, we propose that with proper training in general anesthesia, EPs can serve as anesthetists for IMSuRT with anesthesiologist supervision. Methods: During a 10-week period, a board-certified EP administered general anesthesia to 60 patients prior to a surgical medical mission trip. The breakdown of surgical cases was: 11 orthopedic, 2 genitourinary, 20 ear, nose, and throat, 8 obstetrics and gynecological, 13 general surgery, and 6 vascular. A simplified protocol for induction, maintenance, and emergence was adhered to for all cases. Results: Fourteen orthopedic cases using general anesthesia were performed in a one-week period in Haiti. These cases involved open reduction and internal fixation (ORIF), hemiarthoplasty, hardware removal, tendon transfer and external fixation of fractured bone. Conclusion: We demonstrate the feasibility of a model curriculum to train EPs in the basics of anesthesia. The EP can safely and effectively deliver general anesthesia for major cases on surgical medical mission trips under the auspices of an anesthesiologist in an austere environment.

An E-Commerce Recommender System Based on Content-Based Filtering

Content-based filtering E-commerce recommender system was discussed fully in this paper. Users＇ unique features can be explored by means of vector space model firstly. Then based on the qualitative value of products informa tion, the recommender lists were obtained. Since the system can adapt to the users＇ feedback automatically, its performance were enhanced comprehensively. Finally the evaluation of the system and the experimental results were presented.

Content-based Image Retrieval Using Color Histogram

This paper introduces the principles of using color histogram to match images in CBIR. And a prototype CBIR system is designed with color matching function. A new method using 2-dimensional color histogram based on hue and saturation to extract and represent color information of an image is presented. We also improve the Euclidean-distance algorithm by adding Center of Color to it. The experiment shows modifications made to Euclidean-distance signif-icantly elevate the quality and efficiency of retrieval.