2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)最新文献_第3页

Construction of College Students' Integrity Evaluation Model Based on Bayesian Classifier 基于贝叶斯分类器的大学生诚信评价模型构建

2018 International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2018-07-01 DOI: 10.1109/ICISCAE.2018.8666871

Liu Peiliang, Hu Peipei

{"title":"Construction of College Students' Integrity Evaluation Model Based on Bayesian Classifier","authors":"Liu Peiliang, Hu Peipei","doi":"10.1109/ICISCAE.2018.8666871","DOIUrl":"https://doi.org/10.1109/ICISCAE.2018.8666871","url":null,"abstract":"The information classification and statistical feature extraction methods are used to design the evaluation model of college students' honesty and credit, and a new model based on Bayesian classifier is proposed to evaluate the integrity of college students. The data of credit evaluation come from college students' records of returning books, credit card records, cheating records, records of violation of discipline, and records of class. The multisource statistical recursive analysis model is used to deal with the data fusion of college students' credit evaluation, and the characteristic quantity of multi-source information fusion which reflects the integrity of college students is extracted. The extracted feature information is processed by data clustering, and the data clustering is implemented by Bayesian classifier, and the reliability and robustness of the evaluation model are tested and analyzed by the quantitative recursive analysis and grouping sample test. The empirical analysis and simulation results show that the reliability, objectivity and confidence of the evaluation results are good.","PeriodicalId":129861,"journal":{"name":"2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115470585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Canny Threshold Selection Algorithm Based on the Second Derivative of Image Gradient 基于图像梯度二阶导数的Canny阈值选择算法

2018 International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2018-07-01 DOI: 10.1109/ICISCAE.2018.8666919

Rui Li, Yalin Zhao, Jintao Chen, Feng Zhang, Yin Zhang, Shuang Zhou, Haojie Xing, Qingchuan Tao

{"title":"Canny Threshold Selection Algorithm Based on the Second Derivative of Image Gradient","authors":"Rui Li, Yalin Zhao, Jintao Chen, Feng Zhang, Yin Zhang, Shuang Zhou, Haojie Xing, Qingchuan Tao","doi":"10.1109/ICISCAE.2018.8666919","DOIUrl":"https://doi.org/10.1109/ICISCAE.2018.8666919","url":null,"abstract":"Image edge contains abundant information crucial for many visual systems, such as target detection, image segmentation and etc. Traditional Canny operator exclusively applicable to gray images, and it cannot use color information effectively in multi-color images. Nevertheless, traditional Canny operators require setting the high and low threshold manually, disabling adaptive edge detection and bringing other problems, such as amplification of background edge. In this paper, an adaptive edge detection algorithm based on Canny (AEDAC) in multi-color images is proposed. Firstly, the AEDAC use first-order statistical properties of the histogram of images to select parameters of the Gaussian filter adaptively, effectively removing the noise and reducing the influence of unreasonable parameter setting on edge detection. Secondly, the threshold selection method based on the two derivative of image gradient is adopted to adaptively select appropriate threshold according to characteristics of images. Experimental results show that the AEDAC weakens defects of traditional Canny operator and extracts edge of multi-color images effectively.","PeriodicalId":129861,"journal":{"name":"2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"46 2-3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120893048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Distribution Network Power Flow Algorithm Considering Distributed Generation 考虑分布式发电的配电网潮流算法

2018 International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2018-07-01 DOI: 10.1109/ICISCAE.2018.8666888

Jun Zhang, Lin Liu, Quan Zhang, Xinyang Han, Xiaoling Jin, F. Su

引用次数: 2

A Parameter Optimization Framework Based on OpenFOAM with HPC and Database Support 基于OpenFOAM的HPC和数据库支持的参数优化框架

2018 International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2018-07-01 DOI: 10.1109/ICISCAE.2018.8666893

Wei Jin, Xinhai Xu, Yuhua Tang, Houcun Zhou, Xiaoguang Ren

引用次数: 0

Preprocessing and fusion analysis of GF-2 satellite Remote-sensed spatial data GF-2卫星遥感空间数据预处理与融合分析

2018 International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2018-07-01 DOI: 10.1109/ICISCAE.2018.8666873

Dong-dong Zhang, F. Xie, Lei Zhang

引用次数: 10

HPGA: A High-Performance Graph Analytics Framework on the GPU HPGA:基于GPU的高性能图形分析框架

2018 International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2018-07-01 DOI: 10.1109/ICISCAE.2018.8666877

Haoduo Yang, Huayou Su, M. Wen, Chunyuan Zhang

引用次数: 2

Modular Simulation Teaching of Analog Electronic Technology Based on sEMG Signal Acquisition Circuit 基于表面肌电信号采集电路的模拟电子技术模块化仿真教学

2018 International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2018-07-01 DOI: 10.1109/ICISCAE.2018.8666907

Jihong Liu, Chengyang An, An Hu, Songwei Lv

引用次数: 0

Compressive Mechanical Properties of [0°/90°]s Glass Fiber Epoxy Laminate [0°/90°]s玻璃纤维环氧复合材料的压缩力学性能

2018 International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2018-07-01 DOI: 10.1109/ICISCAE.2018.8666882

Wei Jifeng, Jin Ziyan, Zhang Liang

{"title":"Compressive Mechanical Properties of [0°/90°]s Glass Fiber Epoxy Laminate","authors":"Wei Jifeng, Jin Ziyan, Zhang Liang","doi":"10.1109/ICISCAE.2018.8666882","DOIUrl":"https://doi.org/10.1109/ICISCAE.2018.8666882","url":null,"abstract":"Compressive mechanical properties of [0/90°]s glass fiber epoxy laminate at direction angle 0°, 45° and 90° are studied. A material test system is adopted to analyze their quasi-static properties, while Φ 14.5 mm split Hopkinson pressure bar (SHPB) apparatus is used to investigate the dynamic characteristics under high strain rates. The results indicate that quasi-static and dynamic properties of glass fiber epoxy laminate at direction angle 0° and 90° are nearly identical, but differ from those at 45°. The specimens at direction angle 0° and 90° experience a quick-loading-quick-unloading process, while those at direction angle 45° experience a quick-loading-slow-unloading process. The experiments exhibit that maximum stress and critical strain under high strain rates are much higher than those under low strain rates. After impact, the specimens are delaminated between plies. The specimens at direction angle 45° probably absorb more energy because of their more fiber delamination. The specimens at direction angle 0° and 90° experience less but heavy delamination to result in a quick-loading-quick-unloading process. On the contrary, those specimens at 45° experience more but incomplete delamination to lead to a quick-loading-slow-unloading process. It can be concluded that strain rate has strong effect on the damage stress and critical strain, so it should be taken into account under dynamic loading conditions.","PeriodicalId":129861,"journal":{"name":"2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132201366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sentence Classification with Transfer Network 基于传递网络的句子分类

2018 International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2018-07-01 DOI: 10.1109/ICISCAE.2018.8666915

Liang Liang, Jinkun Zheng, Junfeng Fu

{"title":"Sentence Classification with Transfer Network","authors":"Liang Liang, Jinkun Zheng, Junfeng Fu","doi":"10.1109/ICISCAE.2018.8666915","DOIUrl":"https://doi.org/10.1109/ICISCAE.2018.8666915","url":null,"abstract":"Sentence classification is a fundamental task in natural language processing. In this paper, clickbait detection is taken as an example to study the sentence classification with a transferring network. Clickbait are news headlines that exaggerate the facts or hide partial facts headlines. Statistics show that clickbaits are prevalent among all languages. However, previous research on clickbait detection mainly focus on English, exploiting lexical or syntactical features that are not shared by other languages. On the other hand, it would be both time-consuming and labor-intensive to annotate a clickbait dataset by humans. Recently, neural language model that represent each word by a real-valued, dense vector show that words with similar meanings across languages are close to each other in the vector space. Inspired by this, transfer learning is proposed to be applied to transfer the model on clickbait detection from a source language to other languages with very few annotations. This paper trains the source model on English corpus and transfers it to corpus in Chinese. Experimental results show that transfer learning model in this paper can achieve similar performance on the target language using less annotation, showing the effectiveness and robustness of this model.","PeriodicalId":129861,"journal":{"name":"2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133106795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Methodology of estimating the embedding dimension in chaos time series based on the prediction performance of K-CV_GRNN 基于K-CV_GRNN预测性能的混沌时间序列嵌入维数估计方法

2018 International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2018-07-01 DOI: 10.1109/ICISCAE.2018.8666863

Sun Yun, Wang Ying, Meng Xiangfei, Zhu Fashun, Guo Wen

引用次数: 1