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2018 7th International Conference on Digital Home (ICDH)最新文献

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A Discriminative Pest Detection Method Based on Low-Rank Representation 基于低秩表示的害虫判别检测方法
2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00024
Yang Wang, Yong Zhang, Yunhui Shi, Baocai Yin
{"title":"A Discriminative Pest Detection Method Based on Low-Rank Representation","authors":"Yang Wang, Yong Zhang, Yunhui Shi, Baocai Yin","doi":"10.1109/ICDH.2018.00024","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00024","url":null,"abstract":"Traditional manual detection method of crop pests is a quite tedious work with low efficiency, which brings great inconvenience to the control and removal of crop pests at early stage. In recently years, computer vision becomes a critical and promising technique for pest detection. However, limited to the shape and size of the pest and other issues, the perforance of these methods are not so effective and accurate. In order to improve the detection accuracy, we propose a discriminative method for pest detection on leaves based on low-rank representation and sparsity. By utilizing the lowrank characteristics of natural images, the sparsity of the noise image and the prior knowledge of color information of the crop pest images, our method decomposes the original image into low-rank image and sparse noise image, which contains all pests on the leaf. After that, the crop pests with leaf can be separate from the background and counted effectively. The experimental results show that our method can detect pests on leaf conveniently. This is of great significance for future pest judgment and management.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115569676","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
Model-Based Post Filter for Microphone Array Speech Enhancement 基于模型的后置滤波器用于麦克风阵列语音增强
2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00023
Yan Xiong, Qiang Chen, S. Deng, Sheng Liang, Kai Wang, Jun Zhang, Jie Wang
{"title":"Model-Based Post Filter for Microphone Array Speech Enhancement","authors":"Yan Xiong, Qiang Chen, S. Deng, Sheng Liang, Kai Wang, Jun Zhang, Jie Wang","doi":"10.1109/ICDH.2018.00023","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00023","url":null,"abstract":"Generalized sidelobe canceller (GSC) is wildly used in speech enhancement due to its efficient implementation. However, the conventional GSC has some drawbacks when applied to speech enhancement system. First, it is focused on improving the signal-to-noise ratio (SNR) without considering the characteristics of speech so that is not optimal for speech enhancement applications. Second, the adaptive branch in the GSC does not always estimate the noise in the fixed branch output accurately, especially when the SNR is high, the noise is spatially incoherent, or the spatial incoherent noises and spatial coherent interferences coexist. In this paper, we propose a model-based post filter for the sub-band GSC which is a typical form of the microphone array beamformer. An improved noise estimation method is developed to estimate the noise in the fixed branch output of each sub-band GSC from its adaptive branch output. Then the fixed branch output is filtered by an optimal filter which is constructed according to a GMM model trained by clean speeches and an online-estimated noise model. Experimental results show that the proposed method achieves significant improvement over the conventional sub-band GSC and outperforms several speech enhancement methods in different noisy environments.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"248 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122461830","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: 1
Credit Scoring Using Information Fusion Technique 基于信息融合技术的信用评分
2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00036
Di Wang, Zuoquan Zhang
{"title":"Credit Scoring Using Information Fusion Technique","authors":"Di Wang, Zuoquan Zhang","doi":"10.1109/ICDH.2018.00036","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00036","url":null,"abstract":"Banks frequently face massive credit risks, which might lead to opportunities lost or financial losses. Regarding to this, more and more data mining methods are used in bank credit scoring nowadays. However, different data mining methods for classification can produce different results. The aim of this paper is to fuse the different data mining results together to get one better solution by using the information fusion technique. In this study, information fusion technique is used to build the credit scoring models based on data mining methods such as SVM and Logistic regression model. Two real credit scoring data sets of UCI databases are used to demonstrate the effectiveness and feasibility of the method. The results show that the information fusion model has certain validity, reliability and a higher accuracy than those of the two methods obtained separately.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129140349","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: 2
A Novel Unambiguous Acquisition Algorithm for BOC(n, n) Signals 一种新的BOC(n, n)信号的无二义采集算法
2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/icdh.2018.00054
Xiyan Sun, Xiaoqian Chen, Qiang Fu, Suqing Yan, Weimin Zhen
{"title":"A Novel Unambiguous Acquisition Algorithm for BOC(n, n) Signals","authors":"Xiyan Sun, Xiaoqian Chen, Qiang Fu, Suqing Yan, Weimin Zhen","doi":"10.1109/icdh.2018.00054","DOIUrl":"https://doi.org/10.1109/icdh.2018.00054","url":null,"abstract":"In order to solve the problem of ambiguous acquisition of BOC signals caused by its property of multiple peaks, an unambiguous acquisition algorithm is proposed in this paper. The concept of sub quadratic correlation function and sub QBOC code are first defined in this letter by analyzing the autocorrelation and quadratic correlation of BOC(n, n). Then a new correlation function without multiple peaks can be obtained by a simple combination of sub quadratic correlation, which can be used to unambiguous acquisition for BOC(n, n). The theoretical analysis and simulation prove that the proposed algorithm not only can accomplish unambiguous acquisition but also have more effective de-ambiguity, higher capture sensitivity and higher peak to average power ratio compared to the classical BPSK-like, SPCP and ASPeCT algorithms.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125021998","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
An Improved DenseNet Method Based on Transfer Learning for Fundus Medical Images 基于迁移学习的眼底医学图像改进密度网方法
2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00033
Xiaowei Xu, Jiancheng Lin, Ye Tao, Xiaodong Wang
{"title":"An Improved DenseNet Method Based on Transfer Learning for Fundus Medical Images","authors":"Xiaowei Xu, Jiancheng Lin, Ye Tao, Xiaodong Wang","doi":"10.1109/ICDH.2018.00033","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00033","url":null,"abstract":"There emerges an increasing need to improve the accuracy of computer recognition of fundus medical images. Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). However, obtaining datasets as comprehensively annotated as ImageNet in the medical imaging domain remains a challenge. In this study, an improved DensenNet method based on Transfer Learning techniques is proposed for fundus medical images. Two experiments for fundus medical image data have been conducted respectively. The first one is to train the DenseNet models from scratch; the second one is fine-tuning operations by transfer learning, in which the DenseNet models pre-trained from natural image dataset to fundus medical images are improved. Experimental Results prove that the proposed method can improve the accuracy of fundus medical image classification, which is valuable for medical diagnosis.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125068078","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: 24
[Copyright notice] (版权)
2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/icdh.2018.00003
{"title":"[Copyright notice]","authors":"","doi":"10.1109/icdh.2018.00003","DOIUrl":"https://doi.org/10.1109/icdh.2018.00003","url":null,"abstract":"","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"37 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124516864","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
Modified Machine Learning Model and Stock Classification Research Based on Unbalanced Data 基于非平衡数据的改进机器学习模型与库存分类研究
2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00043
Marui Du, Zuoquan Zhang, Yuqing Zhang
{"title":"Modified Machine Learning Model and Stock Classification Research Based on Unbalanced Data","authors":"Marui Du, Zuoquan Zhang, Yuqing Zhang","doi":"10.1109/ICDH.2018.00043","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00043","url":null,"abstract":"With the development of Chinese financial market, more and more investors paid attention to the stock market. How to analysis stock scientifically is a crutial issue that investors should consider. In order to do stock selection, the financial indicators of listed companies are particularly important. However, in real world the number of high-quality stocks is much smaller than ordinary stocks, that is, the dataset is unbalanced. And company's financial data is often high dimensional and contain many irrelevant features. In this paper, firstly we propose a hybrid BASMOTE algorithm based on the borderline-SMOTE algorithm and ADASYN algorithm. Introduce the ADASYN algorithm's adaptive thought to the borderline-SMOTE algorithm, so as to obtain more effective and reasonable new minority examples. Secondly, a hybrid feature selection method, HPMG, is proposed, which introduces the wrapper thought and ensemble thought into traditional feature selection methods. We use multi-dimensional financial indicators of A-Shares data of Chinese market, the validity of the BASMOTE algorithm and the HPMG are compared respectively with existing over-sampling methods and feature selection methods. It proves that the BASMOTE algorithm and HPMG are better than the existing over-sampling methods and feature selection methods.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122894511","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: 2
A Black-Box Based Script Repair Method for GUI Regression Test 基于黑盒的GUI回归测试脚本修复方法
2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00035
Weina Jiang, Xiaozhe Li, Xinming Wang
{"title":"A Black-Box Based Script Repair Method for GUI Regression Test","authors":"Weina Jiang, Xiaozhe Li, Xinming Wang","doi":"10.1109/ICDH.2018.00035","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00035","url":null,"abstract":"Testing applications with GUI is one of the most tedious tasks in software development. Test automation alleviates this burden by executing scripts that simulate how users interact with GUI. However, in practice efforts spent on developing GUI test automation scripts can be wasteful when the application evolves and modifies GUI components that are referenced by the scripts. In this paper, we propose a new test script repair framework to address this problem. The framework of our method consists of three main modules. Firstly, the script processing module calculates a similarity matrix of each script pair. Secondly, the code analysis module maintains an object repair map which is used to store repair operations. Finally, the script update module applies the map to the scripts under repair. The repair rate of our method keeps increasing with more test script pairs provided and it could be more than 95%. Experiments also show that our method is better than the tool for scrip maintaining within QTP not only in repair rate but also in time consuming.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130860356","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: 2
Simulating a Basketball Game with HDP-Based Models and Forecasting the Outcome 基于hdp模型的篮球比赛模拟与结果预测
2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/ICDH.2018.00042
Xin Du, Weihong Cai
{"title":"Simulating a Basketball Game with HDP-Based Models and Forecasting the Outcome","authors":"Xin Du, Weihong Cai","doi":"10.1109/ICDH.2018.00042","DOIUrl":"https://doi.org/10.1109/ICDH.2018.00042","url":null,"abstract":"We used HDP-based models to model the progression of a basketball game. As known to all, the hidden Markov model can be used for analyzing sequences of the game's content. By introducing Hierarchical Dirichlet Processes on feature extraction and HMMs, we can tackle down the challenges of unknown numbers of mixtures in both models by resorting to nonparametric approach. We employ variational inference for model calculation and cluster the extracted rounds of a basketball match in the form of HMM parameters to forecast the overcome. The proposed scheme is then verified by comparing with other commonly used forecasting approaches: logit regression of the outcome, Naive Bayes method, and Neural Networks. We found that HDP-based models are appropriate for modeling a basketball match and produces more accurate predictions.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128503082","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: 6
[Title page i] [标题页i]
2018 7th International Conference on Digital Home (ICDH) Pub Date : 2018-11-01 DOI: 10.1109/icdh.2018.00001
{"title":"[Title page i]","authors":"","doi":"10.1109/icdh.2018.00001","DOIUrl":"https://doi.org/10.1109/icdh.2018.00001","url":null,"abstract":"","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126623839","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
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