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2014 International Conference on Machine Learning and Cybernetics最新文献

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Applying generalized weighted mean aggregation to impulsive noise removal of images 应用广义加权平均聚集法去除图像脉冲噪声
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009665
Kuan-Lin Chen, J. Chang
{"title":"Applying generalized weighted mean aggregation to impulsive noise removal of images","authors":"Kuan-Lin Chen, J. Chang","doi":"10.1109/ICMLC.2014.7009665","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009665","url":null,"abstract":"In this paper, we apply generalized weighted mean to construct interval-valued fuzzy relations for grayscale image impulse noise detection and correction. First, we employ two weighting parameters and perform the weighted mean aggregation for the central pixel and its eight neighbor pixels in a 3×3 sliding window across the image. Then, to counter the over-weighting of a big difference term, we apply a saturation threshold transfer function to these eight pixel difference values. Finally, the image noise map is obtained through a threshold operation on the cumulative differences. To decrease the noise detection error, weighting parameters of the mean can be learned by the gradient method caste in discrete formulation. Moreover, to get higher PSNR in the corrected image, we have experienced from the training that we will select weight of 20 for noise rate smaller than 20% and 50 for noise rate greater than 20%, on erroneous noisy than that on the erroneous non-noise pixel. By the experiment, we have shown that the integration of interval-valued fuzzy relations with the weighted mean aggregation algorithm can effectively detect the image noise pixels and then correct them thereafter.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124105353","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
Robust non-fragile H∞ control for non-linear uncertain switched singular time-delay system 非线性不确定切换奇异时滞系统的鲁棒非脆弱H∞控制
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009696
Li-Jun Zhang, J. Qiu, Yue Cong, Dong-Dong Bao, Xiaoling Sun, Feng-Bo Hou
{"title":"Robust non-fragile H∞ control for non-linear uncertain switched singular time-delay system","authors":"Li-Jun Zhang, J. Qiu, Yue Cong, Dong-Dong Bao, Xiaoling Sun, Feng-Bo Hou","doi":"10.1109/ICMLC.2014.7009696","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009696","url":null,"abstract":"In this paper, the robust non-fragile H∞, control for non-linear uncertain switched singular time-delay system is studied. Firstly, the decrement of stability of controllers makes them fragile. So we want a controller to be non-fragile, in order to ensure the stability of the system. Secondly, we should contrive to develop a non-fragile controller, by LMIs, Congruent transformation, variable transformation and Schur complement. The solution can be obtained easily because all parameters are linear. Finally, an example is given to show the advantage of the result.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127627474","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
A new similarity measure between intuitionistic fuzzy sets based on transformation techniques 基于变换技术的直觉模糊集相似度度量
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009148
Shyi-Ming Chen, Chia-Hao Chang
{"title":"A new similarity measure between intuitionistic fuzzy sets based on transformation techniques","authors":"Shyi-Ming Chen, Chia-Hao Chang","doi":"10.1109/ICMLC.2014.7009148","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009148","url":null,"abstract":"In this paper, we present a new similarity measure between intuitionistic fuzzy sets based on transformation techniques. First, we present a new similarity measure between intuitionistic fuzzy values based on transformation techniques. Then, based on the proposed similarity measure between intuitionistic fuzzy values, we propose a new similarity measure between intuitionistic fuzzy sets based on transformation techniques. The proposed similarity measure can overcome the drawbacks of the existing similarity measures between intuitionistic fuzzy sets.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128140297","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
The integrated gaze and object tracking techniques to explo re the user's navigation 结合注视和目标跟踪技术，探索用户的导航
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009155
Chiao-Wen Kao, B. Hwang, C. Hsieh, Yun-Ting Huang, Hui-Hui Chen, Shyi-Huey Wu
{"title":"The integrated gaze and object tracking techniques to explo re the user's navigation","authors":"Chiao-Wen Kao, B. Hwang, C. Hsieh, Yun-Ting Huang, Hui-Hui Chen, Shyi-Huey Wu","doi":"10.1109/ICMLC.2014.7009155","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009155","url":null,"abstract":"This paper proposes a method to explore the user's navigation foci and visual tracks by estimating gaze points and mapping them to the objects of video content. The tracking method for multiple objects is derived from the adaptive weight based feature with probability densities. It is able to track the target objects efficiently even when the target objects are lost. It continuously applies sequence scheme and mean scheme throughout to track objects while they are lost. The experimental results demonstrate the proposed method provide higher robustness under different conditions.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132314271","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
The prediction of pathogenicity of the influenza virus based on HA protein sequences 基于HA蛋白序列的流感病毒致病性预测
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009684
Yi Zhang, Shili Jia, Haiyun Huang
{"title":"The prediction of pathogenicity of the influenza virus based on HA protein sequences","authors":"Yi Zhang, Shili Jia, Haiyun Huang","doi":"10.1109/ICMLC.2014.7009684","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009684","url":null,"abstract":"The influenza A virus has higher pathogenicity than influenza B virus, the difference is related with influenza virus HA proteins. In this paper, we try to find the mathematic relationship between the HA protein sequences and virus pathogenicity, it may benefit the influenza diagnosis. We download HA protein sequences from NCBI, and present the position-specific difference between HA proteins of influenza A and B virus by multi-sequence alignment. Then, we use a Fisher discriminant algorithm to predict pathogenicity of influenza virus with k-mer frequency of HA protein sequences. Moreover, we found the abundance of a class of amino acids is related with high pathogenicity.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130693723","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
Activity Recognition with sensors on mobile devices 活动识别与移动设备上的传感器
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009650
Wei-Chih Hung, Fan Shen, Yi-Leh Wu, M. Hor, Cheng-Yuan Tang
{"title":"Activity Recognition with sensors on mobile devices","authors":"Wei-Chih Hung, Fan Shen, Yi-Leh Wu, M. Hor, Cheng-Yuan Tang","doi":"10.1109/ICMLC.2014.7009650","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009650","url":null,"abstract":"Recently, Activity Recognition (AR) has become a popular research topic and gained attention in the study field because of the increasing availability of sensors in consumer products, such as GPS sensors, vision sensors, audio sensors, light sensors, temperature sensors, direction sensors, and acceleration sensors. The availability of a variety of sensors creates many new opportunities for data mining applications. This paper proposes a mobile phone-based system that employs the accelerometer and the gyroscope signals for AR. To evaluate the proposed system, we employ a data set where 30 volunteers performed daily activities such as walking, lying, upstairs, sitting, and standing. The result shows that the features extracted from the gyroscope enhance the classification accuracy in term of dynamic activities recognition such as walking and upstairs. A comparison study shows that the recognition accuracies of the proposed framework using various classification algorithms are higher than previous works.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133306007","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: 22
Improvement of attribute-oriented induction method based on attribute correlation with target attribute 基于属性与目标属性关联的面向属性的归纳方法改进
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009689
Y. Qu, Xiaoyu Li, He Wang
{"title":"Improvement of attribute-oriented induction method based on attribute correlation with target attribute","authors":"Y. Qu, Xiaoyu Li, He Wang","doi":"10.1109/ICMLC.2014.7009689","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009689","url":null,"abstract":"Attribute-oriented induction (AOI) is one of the classical knowledge discovery methods for a relational database query in the field of data mining. On the basis of deeply analysis on the principles of the AOI method, this paper points out some problems existing in it such as redundant attributes after generalization and the invalid rules. This paper puts forward the concept of correlation degree with target attribute, and then gives the improved algorithm according to it Removing the redundant attributes with weak correlation degree with target attribute could help the improved AOI overcome the problems existing in the classical AOI method, and thus improve its efficiency. Different approaches to calculate correlation degree with target attribute are defined to deal with different type of data. Grey relation and attribute reduction based on rough set method are induced to fulfill the above calculation. Experiments on an example demonstrate the effectiveness of the proposed method.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132740813","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
Key management for a large-scale wireless sensor network 大规模无线传感器网络的密钥管理
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009147
H. Ferng, Jeffrey Nurhakim
{"title":"Key management for a large-scale wireless sensor network","authors":"H. Ferng, Jeffrey Nurhakim","doi":"10.1109/ICMLC.2014.7009147","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009147","url":null,"abstract":"In this paper, we focus on the key management issue in a large-scale wireless sensor network (WSN). Employing an end-to-end data security method and a distributed key revocation, a key management protocol is designed accordingly. The performance analysis shows that our proposed protocol outperforms LEDS [15] in terms of efficiency of resilience. By the analysis of key storage overheads, we demonstrate that this overhead of our proposed protocol is fewer than that of [18].","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133719525","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
Feature selection using C4.5 algorithm for electricity price prediction 特征选择采用C4.5算法进行电价预测
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009113
Hehui Qian, Zhi-Wei Qiu
{"title":"Feature selection using C4.5 algorithm for electricity price prediction","authors":"Hehui Qian, Zhi-Wei Qiu","doi":"10.1109/ICMLC.2014.7009113","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009113","url":null,"abstract":"The electricity price forecasting is important in our daily life. It does not only benefit to the customers but also the providers since the pressure of the load station in the rush hours can be reduced. As there are a lot of history information can be adopted, one of the problems for the electricity price forecasting is how to select the useful features in order to increase the accuracy of the forecasting and also reduce the time complexity. This paper we apply the decision tree c4.5 to select the relevant features for electricity price forecasting. We show the performance of C4.5 is better than the ID3 in terms of accuracy experientially.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124493261","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: 12
Nonlinear behaviors in a voltage-mode controlled half-bridge buck converter via varying load resistance 电压模式控制半桥buck变换器随负载电阻变化的非线性行为
2014 International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-13 DOI: 10.1109/ICMLC.2014.7009681
Fei-Hu Hsieh, Hen-Kung Wang, Po-Lun Chang, Shengchao Lin
{"title":"Nonlinear behaviors in a voltage-mode controlled half-bridge buck converter via varying load resistance","authors":"Fei-Hu Hsieh, Hen-Kung Wang, Po-Lun Chang, Shengchao Lin","doi":"10.1109/ICMLC.2014.7009681","DOIUrl":"https://doi.org/10.1109/ICMLC.2014.7009681","url":null,"abstract":"This paper studies the nonlinear behaviors of the half-bridge buck converter when the load resistance changes. The characteristics of the study are considered as the inductor current in the continuous conduction mode. Firstly, the converter is equivalent to two switching states and is derived into the equivalent mathematical model. According to this model, using MATLAB/ SIMULINK tool to build a half-bridge buck converter block diagram for simulation. When the load resistance changes as the varying parameter in the converter, this paper observes the time-domain waveforms and phase portraits of steady-state to period-doubling bifurcation into chaos. The nonlinear phenomena of converter are verified through simulation results.","PeriodicalId":335296,"journal":{"name":"2014 International Conference on Machine Learning and Cybernetics","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116421339","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
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