2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)最新文献_第2页

Semi-Supervised learning using adversarial networks 使用对抗网络的半监督学习

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-06-26 DOI: 10.1109/ICIS.2016.7550881

Ryosuke Tachibana, Takashi Matsubara, K. Uehara

引用次数: 6

Chinese text categorization based on deep belief networks 基于深度信念网络的中文文本分类

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-06-26 DOI: 10.1109/ICIS.2016.7550914

Jiapeng Song, Sijun Qin, Pengzhou Zhang

引用次数: 16

A software-based fault detection scheme for wireless sensor networks 基于软件的无线传感器网络故障检测方案

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-06-26 DOI: 10.1109/ICIS.2016.7550726

Hsung-Pin Chang, Tsung-Yu Yeh

引用次数: 3

The research of applying multi-scale calculation to simulate concentration difference polarization appeared during MBR membrane separation process 应用多尺度计算模拟MBR膜分离过程中浓度差极化现象的研究

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-06-26 DOI: 10.1109/ICIS.2016.7550953

Chunqing Li, Kai Liang

{"title":"The research of applying multi-scale calculation to simulate concentration difference polarization appeared during MBR membrane separation process","authors":"Chunqing Li, Kai Liang","doi":"10.1109/ICIS.2016.7550953","DOIUrl":"https://doi.org/10.1109/ICIS.2016.7550953","url":null,"abstract":"The membrane module occupies only a small part in the membrane bioreactor(MBR), which results the contradiction on calculation scale between the micro-simulation on membrane separation process and the macro-simulation on MBR wastewater treatment process. This paper uses multi-scale calculation to solve the above contradiction. Solutions are as follows: use large-scale grids to simulate velocity field and concentration field in the MBR membrane pool macroscopically; while use fine grids to simulate each hollow fiber membrane in membrane modules, which can achieve the accurate simulation on concentration difference polarization under micro-scale. Two simulations with different scale are calculated respectively, and they obtain boundary conditions with each other by exchanging data. This paper not only achieves the macro-simulation on MBR wastewater treatment process, but also achieves the accurate simulation on concentration difference polarization appeared on the membrane surface. Finally, the factory's real data are substituted to the simulation module and use the software of Tecplot to visualize the experiment result. According to the simulation result on concentration difference polarization in this paper, the actual MBR system can be optimized, which can reduce the degree of membrane fouling effectively.","PeriodicalId":336322,"journal":{"name":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121620417","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

Minority costume image retrieval by fusion of color histogram and edge orientation histogram 基于颜色直方图和边缘方向直方图融合的少数民族服装图像检索

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-06-26 DOI: 10.1109/ICIS.2016.7550786

Xuefen Shen, Juxiang Zhou, Tianwei Xu

{"title":"Minority costume image retrieval by fusion of color histogram and edge orientation histogram","authors":"Xuefen Shen, Juxiang Zhou, Tianwei Xu","doi":"10.1109/ICIS.2016.7550786","DOIUrl":"https://doi.org/10.1109/ICIS.2016.7550786","url":null,"abstract":"It has very important practical significance to analyze and research minority costume from the perspective of computer vision for minority culture protection and inheritance. As first exploration in minority costume image retrieval, this paper proposed a novel image feature representation method to describe the rich information of minority costume image. Firstly, the color histogram and edge orientation histogram are calculated for divided sub-blocks of minority costume image. Then, the final feature vector for minority costume image is formed by effective fusion of color histogram and edge orientation histogram. Finally, the improved Canberra distance is introduced to measure the similarity between query image and retrieval image. We have evaluated the performances of the proposed algorithm on self-build minority costume image dataset, and the experimental results show that our method can effectively express the integrated feature of minority costume images, including color, texture, shape and spatial information. Compared with some conventional methods, our method has higher and stable retrieval accuracy.","PeriodicalId":336322,"journal":{"name":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124538917","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: 5

A biogeography-based optimization algorithm with multiple migrations 基于生物地理学的多重迁移优化算法

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-06-26 DOI: 10.1109/ICIS.2016.7550912

Weichao Chai, Hongbin Dong, Jun He, Wenqian Shang

引用次数: 1

A unified approach to automate geospatial data retrieval using semantic web technologies 使用语义web技术实现地理空间数据自动检索的统一方法

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-06-26 DOI: 10.1109/ICIS.2016.7550834

Ying Zhang, Chaopeng Li, Shaowen Liu, Feng Wen, Liming Du, Hui He

引用次数: 2

Study on CNN in the recognition of emotion in audio and images CNN在音频和图像情感识别中的应用研究

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-06-26 DOI: 10.1109/ICIS.2016.7550778

Bin Zhang, Changqin Quan, F. Ren

{"title":"Study on CNN in the recognition of emotion in audio and images","authors":"Bin Zhang, Changqin Quan, F. Ren","doi":"10.1109/ICIS.2016.7550778","DOIUrl":"https://doi.org/10.1109/ICIS.2016.7550778","url":null,"abstract":"In this paper, the performance of Convolution Neural Network (CNN) in image recognition and emotion recognition in speech will be compared and presented. Feature extraction and selection in pattern recognition is an important issue and have been frequently discussed. Moreover, two-dimensional signals such as image and voice are hard to be modelled well by traditional models like SVM. The ability of CNN to characterize two-dimensional signals is prominent. And CNN can adaptively extract feature to eliminate the dependence on human subjectivity or experience. It mimics the effect of local filtering in visual cortex cells to dig local correlation in natural dimensional space. In this work, for the problems of the image recognition and emotion recognition in speech, CNN and SVM which is used as baseline for comparison of the recognition effect. Different kernel functions in SVM have been experimented for image recognition with, the best accuracy is 94.17%. However, the accuracy of using CNN is 95.5% (7291 pictures for train and 2007 pictures for test) with less time consuming. In the emotion recognition of speech, the accuracy of CNN is 97.6% corresponds to 55.5% by baseline model (4000 utterances for training, 1500 for validation, 500 for test). The experimental results showed that CNN can effectively extract features and its modeling capability for two-dimensional signals is prominent.","PeriodicalId":336322,"journal":{"name":"2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130008482","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: 48

An executable model and testing for Web software based on live sequence charts 基于实时序列图的Web软件的可执行模型和测试

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-06-26 DOI: 10.1109/ICIS.2016.7550803

Liping Li, Honghao Gao, Tang Shan

引用次数: 7

Using genetic algorithms for measuring the similarity values between users in collaborative filtering recommender systems 利用遗传算法测量协同过滤推荐系统中用户之间的相似度

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) Pub Date : 2016-06-26 DOI: 10.1109/ICIS.2016.7550751

Bushra Alhijawi, Y. Kilani

引用次数: 50