发布求助
文献互助 智能选刊 最新文献

2019 International Conference on Machine Learning and Cybernetics (ICMLC)最新文献

筛选
英文 中文
Energy Efficient Geocasting Based on Q-Learning for Wireless Sensor Networks 基于q -学习的无线传感器网络节能地理投影
2019 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2019-07-01 DOI: 10.1109/ICMLC48188.2019.8949272
Neng-Chung Wang, Young-Long Chen, Yung-Fa Huang, Li-Cheng Huang, Tzu-Yi Wang, Hsu-Yao Chuang
{"title":"Energy Efficient Geocasting Based on Q-Learning for Wireless Sensor Networks","authors":"Neng-Chung Wang, Young-Long Chen, Yung-Fa Huang, Li-Cheng Huang, Tzu-Yi Wang, Hsu-Yao Chuang","doi":"10.1109/ICMLC48188.2019.8949272","DOIUrl":"https://doi.org/10.1109/ICMLC48188.2019.8949272","url":null,"abstract":"In this paper, we propose two energy efficient geocasting protocols based on Q-learning for wireless sensor networks (WSNs), called FERMA-QL and FER-MA-QL-E. We utilize the theorem of Fermat point to find Fermat points in geocasting, the node which is the closest to the Fermat points is selected as the relay nodes. Then, we establish the shared path among gateways, relay nodes and base station by Q-learning for data transmission. In FERMA-QL, the reward is given by the reciprocal of the distance between the received node and the destination node In FERMA-QL-E, the reward is given by the remaining energy of the received node divided by the distance between itself and the destination node. Sensors utilize the shared path to forward their data to achieve goal of reduce energy consumption. Simulation result shows that the proposed FERMA-QL and FERMA-QL-E can efficiently extend the life-time of the WSN.","PeriodicalId":221349,"journal":{"name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123619668","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
Investigations on Classification Methods for Loan Application Based on Machine Learning 基于机器学习的贷款申请分类方法研究
2019 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2019-07-01 DOI: 10.1109/ICMLC48188.2019.8949252
Mingli Wu, Yafei Huang, Jianyong Duan
{"title":"Investigations on Classification Methods for Loan Application Based on Machine Learning","authors":"Mingli Wu, Yafei Huang, Jianyong Duan","doi":"10.1109/ICMLC48188.2019.8949252","DOIUrl":"https://doi.org/10.1109/ICMLC48188.2019.8949252","url":null,"abstract":"As there is an increasing trend of people consuming by debit in China, financial organizations deal with a lot of loan applications. If customers cannot repay the loans on time, the organizations have to cover the loss. Therefore it is important to predict correctly whether a customer will repay the loan on time. Typical machine learning methods can be employed to exploit customers' financial information and give valuable judgements. We investigated the function of Deep Neural Network (DNN) in this work, as it achieves high successful rate in fields of image recognition, speech recognition and natural language processing. We compared it with traditional learning methods, such as Naïve Bayes, decision tree and K-Nearest Neighbor. Experiments showed that DNN achieves better performance than its traditional competitors. The accuracy and recall of DNN are 0.73 and 0.42 respectively. Its It-score is 25% higher than the best one of traditional methods.","PeriodicalId":221349,"journal":{"name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125717278","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: 4
Retrieving Articles and Image Labeling Based on Relevance of Keywords 基于关键词相关性的文章检索与图像标注
2019 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2019-07-01 DOI: 10.1109/ICMLC48188.2019.8949205
Shu-Chen Cheng, Chun Lu
{"title":"Retrieving Articles and Image Labeling Based on Relevance of Keywords","authors":"Shu-Chen Cheng, Chun Lu","doi":"10.1109/ICMLC48188.2019.8949205","DOIUrl":"https://doi.org/10.1109/ICMLC48188.2019.8949205","url":null,"abstract":"When users input keywords into the search engine, a massive search results will be retrieved. However, it becomes difficult for the users to learn as it is unreadable with the excessive amount of results. This study establishes an information retrieval system for computer science related articles. It firstly collects articles by running a web crawler, and uses TF-IDF (Term Frequency-Inverse Document Frequency) method to extract keywords to acquire the focus of the article. And with the use of association rules and cosine similarity, the articles are classified by their relevance. Finally, according to users' feedbacks, the system provides appropriate resources to improve the motivation and willingness to learn. In addition, the pictures in the articles are also a basis for analyzing the articles. This study uses image semantic analysis to label the pictures so as to improve the accuracy in analyzing the articles.","PeriodicalId":221349,"journal":{"name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128027683","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
Real-Time Car Detection and Driving Safety Alarm System With Google Tensorflow Object Detection API 实时汽车检测和驾驶安全报警系统与谷歌Tensorflow对象检测API
2019 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2019-07-01 DOI: 10.1109/ICMLC48188.2019.8949265
C. Hsieh, Dung-Ching Lin, Chengjia Wang, Zong-Ting Chen, Jiun-Jian Liaw
{"title":"Real-Time Car Detection and Driving Safety Alarm System With Google Tensorflow Object Detection API","authors":"C. Hsieh, Dung-Ching Lin, Chengjia Wang, Zong-Ting Chen, Jiun-Jian Liaw","doi":"10.1109/ICMLC48188.2019.8949265","DOIUrl":"https://doi.org/10.1109/ICMLC48188.2019.8949265","url":null,"abstract":"Car accident is a serious social problem which often results in both life loss and financial loss. Most of car accidents are caused by a lack of safe distance between cars. To relieve this problem, in this paper we propose a real-time car detection and safety alarm system. The proposed system consists of two modules: real-time car detection module and safety alarm module. The proposed system is supposed to apply in a normal highway driving scenario. In the car detection module, the Google Tensorflow Object Detection (GTOD) API is employed. The function of GTOD API is to detect frontal cars in real-time and then mark them with rectangular boxes. As for the safety alarm module, it consists of three phases: to calculate the box width of detected cars; to calculate the safety factor; to determine the driving state. To justify the proposed system, a real highway experiment is conducted. The results show that the proposed system is able to appropriately indicate driving states: safe, dangerous and warning. By the given experimental results, it implies that the proposed system is feasible and applicable in the real-world applications.","PeriodicalId":221349,"journal":{"name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129726629","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
Would you Turn-On GPS for LBA? Fuzzy AHP Approach 你会为LBA开启GPS吗?模糊层次分析法
2019 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2019-07-01 DOI: 10.1109/ICMLC48188.2019.8949270
Hengdong Yang, Shiang-Lin Lin, Jui-Yen Chang
{"title":"Would you Turn-On GPS for LBA? Fuzzy AHP Approach","authors":"Hengdong Yang, Shiang-Lin Lin, Jui-Yen Chang","doi":"10.1109/ICMLC48188.2019.8949270","DOIUrl":"https://doi.org/10.1109/ICMLC48188.2019.8949270","url":null,"abstract":"Location-based advertising (LBA) is a mobile phone service to apply customers' geographic location to provide suitable advertisement. It was proved in literature to be effective to motivate purchasing intention. However, perceived benefits would be accompanied by perceived risks of privacy concerns to users. The precondition of receiving the LBA is to turn on the location functions in the mobile device. This study applies the Fuzzy Analytic Hierarchy Process (FAHP) method to analyze the factors evaluated by consumers while considering to turn on the GPS functions for receiving LBA. The analytic results reported that “functional value”, “privacy considerations” and “inertia and usage of other 3C habits” are the top three important decision dimensions. In terms of decision factors, the most top three important evaluation factors are “habit of using 3C device”, “getting money-saving opportunities” and “whereabouts”. The findings are useful not only for LBA providers to design and manage their advertising practices but also for consumers to understand the critical factors while considering to turn on the GPS functions for receiving LBA.","PeriodicalId":221349,"journal":{"name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133182872","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
Posture Estimation Method Using Cushion Type Seat Pressure Sensor 基于坐垫式座椅压力传感器的姿态估计方法
2019 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2019-07-01 DOI: 10.1109/ICMLC48188.2019.8949190
T. Takeda
{"title":"Posture Estimation Method Using Cushion Type Seat Pressure Sensor","authors":"T. Takeda","doi":"10.1109/ICMLC48188.2019.8949190","DOIUrl":"https://doi.org/10.1109/ICMLC48188.2019.8949190","url":null,"abstract":"Most of our daily activities consist of standing, sitting, lying and walking. Above all, sitting behavior is said to account for more than half of the waking hours, and it can be said that it is directly connected to the quality of our lives. In this research, we propose a method to evaluate the user's posture from the pressure distribution measured by the cushion type seat pressure sensor. In the proposed method, a classifier based on fuzzy inference is created from pressure values obtained from 16 pressure sensors, and the difference in posture such as normal posture and humpback, and daily life operation such as reading and paperwork are classified. The experimental results show that identification is possible with an accuracy of about 87%.","PeriodicalId":221349,"journal":{"name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"261 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114342876","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
Automatic Detection of Mispronounced Lyrics in Singing 唱词发音错误的自动检测
2019 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2019-07-01 DOI: 10.1109/ICMLC48188.2019.8949315
Wei-Ho Tsai, Van-Thuan Tran, Shiang-Shiun Kung
{"title":"Automatic Detection of Mispronounced Lyrics in Singing","authors":"Wei-Ho Tsai, Van-Thuan Tran, Shiang-Shiun Kung","doi":"10.1109/ICMLC48188.2019.8949315","DOIUrl":"https://doi.org/10.1109/ICMLC48188.2019.8949315","url":null,"abstract":"In this study, we propose an automatic system for detecting mispronounced lyrics in singing, thereby providing information for singing performance assessment. The system is built upon the basis of speech utterance verification and further improved by considering the difference between singing and speech. We recognize that the vowels are often lengthened during singing and thus include a duration modeling concept in the acoustic modeling to absorb the variation of the length of a vowel in singing. Our experiments show that the proposed methods can achieve 11.3% equal error rate in detecting the mispronounced lyrics in singing.","PeriodicalId":221349,"journal":{"name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"147 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125870879","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 Automated Identification Tool for LC-MS Based Metabolomics Studies 基于LC-MS的代谢组学研究的自动鉴定工具
2019 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2019-07-01 DOI: 10.1109/ICMLC48188.2019.8949193
Ke-Shiuan Lynn, Chun-Ju Chen, C. Tseng, M. Cheng, Wen-Harn Pan
{"title":"An Automated Identification Tool for LC-MS Based Metabolomics Studies","authors":"Ke-Shiuan Lynn, Chun-Ju Chen, C. Tseng, M. Cheng, Wen-Harn Pan","doi":"10.1109/ICMLC48188.2019.8949193","DOIUrl":"https://doi.org/10.1109/ICMLC48188.2019.8949193","url":null,"abstract":"Liquid chromatography/mass spectrometer (LC/MS) has become one of the most popular analytical platform for metabolomics studies owing to its wide range of detectable polarity and molecular mass. However, metabolite identification remains quite costly and time-consuming in LC/MS-based metabolomics, mostly due to lower database integrity and a separated MS/MS spectra generation process. In this work, we constructed an automated, user-friendly, and freely available tool. From a peak list, the tool first groups peaks, which are usually associated with a metabolite, based on their retention time and abundance correlation across samples. In each group, different ions are annotated and the mass of the underlying metabolite is derived. Finally, the fragments are used to match with low-energy MS/MS spectra in public databases for metabolite identification. To identify metabolites without accessible MS/MS spectra, we have developed characteristic fragment and common substructure matches. Through the above approach, we anticipate facilitating the metabolite identification in LC-MS-based metabolomics studies.","PeriodicalId":221349,"journal":{"name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126396501","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
Research on Comprehensive Quality Evaluation Method Based on Cooperative Performance 基于合作绩效的综合质量评价方法研究
2019 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2019-07-01 DOI: 10.1109/ICMLC48188.2019.8949166
Cheng-Bin Wang, Fachao Li
{"title":"Research on Comprehensive Quality Evaluation Method Based on Cooperative Performance","authors":"Cheng-Bin Wang, Fachao Li","doi":"10.1109/ICMLC48188.2019.8949166","DOIUrl":"https://doi.org/10.1109/ICMLC48188.2019.8949166","url":null,"abstract":"Comprehensive quality evaluation is the measure of the members' comprehensive ability and the premise and foundation of improving the team's operation efficiency. How to accurately obtain the comprehensive quality of members has been a widely concerned issue in the academic and application fields. Taking cooperative performance as the main observation index, this paper proposes a comprehensive quality evaluation model based on cooperative performance, and analyzes the characteristics and shortcomings of this model. In order to solve the problem that the solution cannot be guaranteed, the method of multi objective programming is applied to give the solution strategy based on the deviation variable. Finally, the feasibility and effectiveness of the model are analyzed with a case study. Theoretical analysis and example calculation show that the model has good interpretability and operability, which not only improves the existing evaluation methods to a certain extent, but also has wide application value in the fields of resource allocation, artificial intelligence and recommendation system.","PeriodicalId":221349,"journal":{"name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122282117","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
Detection of Optimal Puncture Position in OVUM Images for Artificial Insemination 人工授精OVUM图像中最佳穿刺位置的检测
2019 International Conference on Machine Learning and Cybernetics (ICMLC) Pub Date : 2019-07-01 DOI: 10.1109/ICMLC48188.2019.8949312
Yuya Kinishi, T. Maekawa, S. Mizuta, T. Ishikawa, Y. Hata
{"title":"Detection of Optimal Puncture Position in OVUM Images for Artificial Insemination","authors":"Yuya Kinishi, T. Maekawa, S. Mizuta, T. Ishikawa, Y. Hata","doi":"10.1109/ICMLC48188.2019.8949312","DOIUrl":"https://doi.org/10.1109/ICMLC48188.2019.8949312","url":null,"abstract":"This paper aims to determine the optimal puncture position of ovum by evaluating rupture membrane of cytoplasm. We employed 139 ovum images on the Piezo-ICSI (Intracytoplasmic sperm injection). In it, grayscale images before puncture and their actual puncture position were obtained from the movie file (Rupture:31, No Rupture:108), and Local Binary Pattern (LBP) feature is calculated at analysis area around the puncture position. LBP feature dimensions are reduced, and data are classified by hierarchical clustering method using feature of three dimensions. As a result, the data classified into two clusters (Clusters A and B). Cluster A has 7 Ruptures and 50 No Ruptures, Cluster B has 24 Ruptures and 58 No Ruptures. Then, the sensitivity is 0.77. Therefore, it is possible to evaluate rupture membrane of cytoplasm from shape feature of membrane. The optimal puncture position could be determined by the features.","PeriodicalId":221349,"journal":{"name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115437624","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信