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2018 International Conference on Machine Learning and Cybernetics (ICMLC)最新文献

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Text Classification For Suicide Related Tweets 自杀相关推文的文本分类
2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8527039
Fatima Chiroma, Han Liu, Ella Haig
{"title":"Text Classification For Suicide Related Tweets","authors":"Fatima Chiroma, Han Liu, Ella Haig","doi":"10.1109/ICMLC.2018.8527039","DOIUrl":"https://doi.org/10.1109/ICMLC.2018.8527039","url":null,"abstract":"Online social networks have become a vital medium for communication. With these platforms, users have the freedom to share their opinions as well as receive information from a diverse group of people. Although this could be beneficial, there are some growing concerns regarding its negative impact on the safety of its users such as the spread of suicidal ideation. Therefore, in this study, we aim to determine the performance of machine classifiers in identifying suicide-related text from Twitter (tweets). The experiment for the study was conducted using four popular machine classifiers: Decision Tree, Naive Bayes, Random Forest and Support Vector Machine. The results of the experiment showed an F-measure ranging from 0.346 to 0.778 for suicide-related communication, with the best performance being achieved using the Decision Tree classifier.","PeriodicalId":309312,"journal":{"name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"4 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":"126500813","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: 16
Object Grabbing With A Five-Finger Robot Hand Using Two-Camera Vision 基于双摄像头视觉的五指机械手抓取物体
2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8527020
G. Luh, Yu-Chun Chuang, Kun-Hung Ho
{"title":"Object Grabbing With A Five-Finger Robot Hand Using Two-Camera Vision","authors":"G. Luh, Yu-Chun Chuang, Kun-Hung Ho","doi":"10.1109/ICMLC.2018.8527020","DOIUrl":"https://doi.org/10.1109/ICMLC.2018.8527020","url":null,"abstract":"This paper discusses the problem of visual-based object grabbing using a five-finger robotic hand connected to a 4-DOF manipulator on an intelligent mobile robot. The CamShift algorithm is used to analyze the dynamic vision acquired by a pair of stereo cameras in three-dimension space. Afterwards, inverse and forward kinematics of manipulator and fingers are performed to drive the robot hand to appropriate position and grab a cup. In addition, a coordinate estimation correction method was proposed to improve the accuracy of the calculated position. The proposed method is validated in several experiments.","PeriodicalId":309312,"journal":{"name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"19 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":"121477488","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
Artificial Intelligence (AI) Infused Cow Necklace - For Diagnosis Of Bovine Respiratory Diseases 人工智能(AI)注入奶牛项链-用于诊断牛呼吸道疾病
2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8526937
Chandrasekar Vuppalapati, Rajasekar Vuppalapati, Sharat Kedari, Anitha Ilapakurti, Archana Ramalingam, J. Vuppalapati, S. Kedari
{"title":"Artificial Intelligence (AI) Infused Cow Necklace - For Diagnosis Of Bovine Respiratory Diseases","authors":"Chandrasekar Vuppalapati, Rajasekar Vuppalapati, Sharat Kedari, Anitha Ilapakurti, Archana Ramalingam, J. Vuppalapati, S. Kedari","doi":"10.1109/ICMLC.2018.8526937","DOIUrl":"https://doi.org/10.1109/ICMLC.2018.8526937","url":null,"abstract":"Bovine respiratory disease (BRD) is a significant cost to dairy industries. In the United States, an estimated 640 million dollars is lost annually due to BRD. Respiratory diseases are responsible for 21.3% of mortality in calves and 50.4% of deaths in weaned heifers. Additionally, there are many negative long-term consequences for survivor calves including poor growth, reproductive performance, milk production, and longevity and can become sources of infection for other calves, and can cause outbreaks after weaning in-group pens. BRD poses huge challenges and economic losses to the dairy industry. This research paper addresses the challenge by developing and deploying Convolutional neural networks (CNN) that proactively detect BRD in cow's cough and alerts dairy farmer. The paper presents prototyping solution of Dairy IoT Cow $NecKlace^{TM}$ as well as its application and experimental results.","PeriodicalId":309312,"journal":{"name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"169 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":"116129056","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
Design of Handling Gripper and its Application to Smart Pet Robot 智能宠物机器人搬运爪的设计及其应用
2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8527055
Kuo-Ho Su, Y. Zhong
{"title":"Design of Handling Gripper and its Application to Smart Pet Robot","authors":"Kuo-Ho Su, Y. Zhong","doi":"10.1109/ICMLC.2018.8527055","DOIUrl":"https://doi.org/10.1109/ICMLC.2018.8527055","url":null,"abstract":"Design of handling gripper of robot has been one focus of technology developmentOnce the gripping objects are random patterns, the distortion or damage may be caused due to the fixed gripping force. To improve the drawbacks and simplify the architecture, three functions have been implemented in this research: (1) Image recognition of the position and type ofthe grasped object and the identification step consists of the following four steps; (2) Mechanism design and prototype making of a simple bionic handling gripper; (3) Controller design for the bionic handling gripper and the smart pet robot. From the simulated results and the implemented prototype, the proposed hardware architecture, neural network identification model and TSK fuzzy controller possess good recognition and tracking ability.","PeriodicalId":309312,"journal":{"name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"65 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":"124936797","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
Research On Synthesis Of Speech Parameter And Emotional Speech For Malay Language Using LSTM RNN 基于LSTM RNN的马来语语音参数与情感语音合成研究
2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8527008
Junjun Zhai, Shao-Shuai Wu, Yi-Bing Li
{"title":"Research On Synthesis Of Speech Parameter And Emotional Speech For Malay Language Using LSTM RNN","authors":"Junjun Zhai, Shao-Shuai Wu, Yi-Bing Li","doi":"10.1109/ICMLC.2018.8527008","DOIUrl":"https://doi.org/10.1109/ICMLC.2018.8527008","url":null,"abstract":"As the style of language expression become liberalized and diversified increasingly, the advantages of using deep learning models in the field of speech synthesis are gradually highlighted. However, most of the current studies are based on those popular languages such as Chinese and English, and there is a little research on minority languages. To this end, the speech parameter generation and emotional speech synthesis for Malay are studied in this paper. We first used recurrent neural network (RNN) to capture the features of dependencies in Malay, and the parametric model was established through multivariate feature matrices for Malay texts using long short-term (LSTM). Most of the inputs are audio and corresponding triphone models which are obtained after a series of segmentation in the process of speech synthesis. There are few emotional components remained in the segmented results. This paper used LSTM RNN to directly model on the waveform of Malay speech and to keep emotions as much as possible. Experimental results on real-life data showed that the synthesis of Malay speech parameter based on LSTM RNN model achieved satisfying performance which are 1.16 and 0.25 improvements in two indexes respectively and applying that model in Malay emotional speech synthesis reached the precision of 85.46%.","PeriodicalId":309312,"journal":{"name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"68 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":"131261624","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
Research On Image Segmentation Based On Support Vector Machine 基于支持向量机的图像分割研究
2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8526926
Chong Tan, Ying Sun, Gongfa Li, Guozhang Jiang, Jianyi Kong, Bo Tao
{"title":"Research On Image Segmentation Based On Support Vector Machine","authors":"Chong Tan, Ying Sun, Gongfa Li, Guozhang Jiang, Jianyi Kong, Bo Tao","doi":"10.1109/ICMLC.2018.8526926","DOIUrl":"https://doi.org/10.1109/ICMLC.2018.8526926","url":null,"abstract":"Image segmentation technology is one of the important topics in the field of digital image processing. However, the existing image segmentation technology does not have a uniform standard, and the traditional image segmentation technology is only suitable for some fixed situations. Therefore, the image segmentation technology on new theories and new methods deserves further research and development. The SVM algorithm for image segmentation, a variety of image features can be used to get a better segmentation results. So, this paper based on the theory of support vector machines, introduces the basic idea of SVM in detail, and the current state of image segmentation and the development trend of image segmentation are described in detail. Finally, the necessity of introducing statistical learning into image segmentation and the possibility of introducing SVM into image segmentation are studied and analyzed in depth. The results show that support vector machine can well segment the image target.","PeriodicalId":309312,"journal":{"name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"29 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":"131392064","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
Weighted Patches Based Face Super-Resolution Via Adaboost 基于Adaboost加权补丁的人脸超分辨率
2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8526924
Shanjun Mao, Da Zhou, Yiping Zhang, Zhihong Zhang, Jingjing Cao
{"title":"Weighted Patches Based Face Super-Resolution Via Adaboost","authors":"Shanjun Mao, Da Zhou, Yiping Zhang, Zhihong Zhang, Jingjing Cao","doi":"10.1109/ICMLC.2018.8526924","DOIUrl":"https://doi.org/10.1109/ICMLC.2018.8526924","url":null,"abstract":"To alleviate the blurring effect of super-resolved faces in super-resolution (SR) field, a number of sparse representation methods have been proposed recently. However, current researches normally treat all facial patches equally and do not consider the fact that different facial patches may have unequal contributions to the SR. Regarding that AdaBoost, a classical ensemble method, has a natural weighted update scheme, this paper aims to develop a weighted-patch super-resolution approach based on the framework of AdaBoost. In the training phase, each facial patch is weighted automatically according to the difference between reconstructed patch and original patch in current iteration, which can assign more weights to the worse performed patches with lower reconstruction power in next iteration. The experimental results on two benchmarks demonstrate the effectiveness of the proposed approach.","PeriodicalId":309312,"journal":{"name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"273 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":"134288754","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
An Approach to Information Fusion and Group Deecision Making Based on Choquet Integral Operators for Interval-Valued Intuitionistic Fuzzy Data 区间值直觉模糊数据基于Choquet积分算子的信息融合与群体决策方法
2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8526966
Bo Hai, H. Yao
{"title":"An Approach to Information Fusion and Group Deecision Making Based on Choquet Integral Operators for Interval-Valued Intuitionistic Fuzzy Data","authors":"Bo Hai, H. Yao","doi":"10.1109/ICMLC.2018.8526966","DOIUrl":"https://doi.org/10.1109/ICMLC.2018.8526966","url":null,"abstract":"In this study, we defined two generalized induced continuous Choquet integral operators for interval-valued intuitionistic fuzzy number as the induced continuous Choquet geometric mean (IIVIFCCGM) operator and the induced continuous Choquet weighted averaging (IIVIFCCWA) operator. Meanwhile, genetic algorithm is used to determine fuzzy measures from the interval-valued intuitionistic fuzzy data by induced interval valued intuitionistic fuzzy continuous Choquet integral operators, and the models for the optimal fuzzy measures on expect sets and on criteria sets and decision making method are established, respectively. Finally, a numerical example is given.","PeriodicalId":309312,"journal":{"name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"12 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":"132524429","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
Dynamic Computing Rough Approximations for Variable Granular Structure Lattice-Valued Decision Systems 变颗粒结构格值决策系统的动态计算粗逼近
2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/ICMLC.2018.8526947
Jianhang Yu, Minghao Chen, Biao Zhang, Weihua Xu
{"title":"Dynamic Computing Rough Approximations for Variable Granular Structure Lattice-Valued Decision Systems","authors":"Jianhang Yu, Minghao Chen, Biao Zhang, Weihua Xu","doi":"10.1109/ICMLC.2018.8526947","DOIUrl":"https://doi.org/10.1109/ICMLC.2018.8526947","url":null,"abstract":"A lattice-valued decision information system has condition attributes consisting real-valued, set-valued, interval-valued, fuzzy-valued, intuitionistic fuzzy-valued attribute and so on. Meanwhile, the information granule structure of information system may vary over time when new information arrives and redundant data leaves. How to quickly update the approximations of a concept invariable granular structure system which caused by adding or deleting attributes? In this paper, we propose two dynamic obtaining rough approximations approach for inserting and removing attributes, respectively. The novel updating mechanism enables additional knowledge to be obtained from the alterant datasets without neglecting the prior knowledge. Furthermore, a case study is conducted toverify the feasibility and effectiveness of the dynamic computing approaches.","PeriodicalId":309312,"journal":{"name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"58 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":"133515156","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
ICMLC 2018 Organizing Committee ICMLC 2018组委会
2018 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2018-07-01 DOI: 10.1109/icmlc.2018.8528250
{"title":"ICMLC 2018 Organizing Committee","authors":"","doi":"10.1109/icmlc.2018.8528250","DOIUrl":"https://doi.org/10.1109/icmlc.2018.8528250","url":null,"abstract":"","PeriodicalId":309312,"journal":{"name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"66 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":"116016522","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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