2018 IEEE International Conference on Web Services (ICWS)最新文献_第3页

CCRS: Web Service for Chinese Character Recognition 中文字符识别Web服务

2018 IEEE International Conference on Web Services (ICWS) Pub Date : 2018-07-01 DOI: 10.1109/ICWS.2018.00010

Hang Zhuang, Changlong Li, Xuehai Zhou

{"title":"CCRS: Web Service for Chinese Character Recognition","authors":"Hang Zhuang, Changlong Li, Xuehai Zhou","doi":"10.1109/ICWS.2018.00010","DOIUrl":"https://doi.org/10.1109/ICWS.2018.00010","url":null,"abstract":"Handwritten Chinese character recognition (HCCR) is an important research field of pattern recognition, which has attracted extensive studies during the past decades. Recently convolutional neural network (CNN) based methods have achieved the state-of-the-art performance for handwritten Chinese character recognition. Nevertheless, handwritten Chinese character recognition is still limited to be effectively used in the actual environment due to the large-scale vocabulary and great diversity of handwriting style. In this paper, we constructed a handwritten Chinese character recognition service based on convolutional neural network, which tries to make effective use of handwritten based printed fonts and existing handwritten database. At the same time, the service can effectively collect more handwritten data to expand the training dataset, which makes it easy to adapt to the new handwriting styles. Meanwhile, We propose a multi-level recognition theory applied to online handwritten Chinese character recognition, which may improve the accuracy of handwritten Chinese character recognition and break the limitations of handwritten Chinese character recognition by identifying the structure of Chinese characters and possible stroke orders firstly. Furthermore, we try to apply the method of online character recognition to the offline character recognition based on the basic writing rules.","PeriodicalId":231056,"journal":{"name":"2018 IEEE International Conference on Web Services (ICWS)","volume":"64 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":"115771469","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: 7

Semantic-Based Information Sharing in Vehicular Networks 基于语义的车联网信息共享

2018 IEEE International Conference on Web Services (ICWS) Pub Date : 2018-07-01 DOI: 10.1109/ICWS.2018.00043

Himlun Bista, I. Yen, F. Bastani, Martin Mueller, Darnell J. Moore

引用次数: 3

PRNN: Piecewise Recurrent Neural Networks for Predicting the Tendency of Services Invocation 预测服务调用趋势的分段递归神经网络

2018 IEEE International Conference on Web Services (ICWS) Pub Date : 2018-07-01 DOI: 10.1109/ICWS.2018.00013

Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai

{"title":"PRNN: Piecewise Recurrent Neural Networks for Predicting the Tendency of Services Invocation","authors":"Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai","doi":"10.1109/ICWS.2018.00013","DOIUrl":"https://doi.org/10.1109/ICWS.2018.00013","url":null,"abstract":"Driven by the widespread application of Service-Oriented Architecture (SOA), the quantity of web services and their users keeps increasing in the service ecosystem. Since services are hosted by service providers, it will be very helpful to predict the tendency of services invocation for service providers, so that proper actions may be taken to ensure the quality of services. Two major challenges exist in predicting the tendency of services invocation, however. First, different service invocation sequences may bear different and complicated characteristics, which is hard to be modeled generally. Second, the intricate relations between service invocation sequences are valuable but hard to be discriminated and utilized. To address these issues, a deep neural network, named Piecewise Recurrent Neural Network (PRNN), is developed by taking both generality and pertinence into consideration. For generality, PRNN extracts complicated characteristics of all service invocation sequences through Long Short-Term Memory (LSTM) units. For pertinence, PRNN develops a piecewise mechanism, through which service invocation sequences can be clustered automatically and predicted discriminatingly. Extensive experiments in real-world dataset show that PRNN outperforms baseline methods in predicting the tendency of services invocation.","PeriodicalId":231056,"journal":{"name":"2018 IEEE International Conference on Web Services (ICWS)","volume":"10 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":"122027227","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

Extinguishing the Backfire Effect: Using Emotions in Online Social Collaborative Argumentation for Fact Checking 消除逆火效应:在在线社会协作论证中使用情感进行事实核查

2018 IEEE International Conference on Web Services (ICWS) Pub Date : 2018-07-01 DOI: 10.1109/ICWS.2018.00062

Ricky J. Sethi, R. Rangaraju

引用次数: 4

Publisher's Information 出版商的信息

2018 IEEE International Conference on Web Services (ICWS) Pub Date : 2018-07-01 DOI: 10.1109/icws.2018.00068

引用次数: 0

Linked USDL Privacy: Describing Privacy Policies for Services 链接wsdl隐私:描述服务的隐私政策

2018 IEEE International Conference on Web Services (ICWS) Pub Date : 2018-07-01 DOI: 10.1109/ICWS.2018.00014

G. Kapitsaki, Joseph Ioannou, J. Cardoso, C. Pedrinaci

引用次数: 12

Service Selection for Composition in Mobile Edge Computing Systems 移动边缘计算系统合成服务选择

2018 IEEE International Conference on Web Services (ICWS) Pub Date : 2018-07-01 DOI: 10.1109/ICWS.2018.00060

Hongyue Wu, Shuiguang Deng, Wei Li, Min Fu, Jianwei Yin, Albert Y. Zomaya

引用次数: 31

Title Page i 第1页

2018 IEEE International Conference on Web Services (ICWS) Pub Date : 2018-07-01 DOI: 10.1109/icws.2018.00001

引用次数: 0

Hitting Three Birds with One System: A Voice-Based CAPTCHA for the Modern User 用一个系统击中三鸟:现代用户基于语音的CAPTCHA

2018 IEEE International Conference on Web Services (ICWS) Pub Date : 2018-07-01 DOI: 10.1109/ICWS.2018.00040

Muhammad A Shah, Khaled A. Harras

{"title":"Hitting Three Birds with One System: A Voice-Based CAPTCHA for the Modern User","authors":"Muhammad A Shah, Khaled A. Harras","doi":"10.1109/ICWS.2018.00040","DOIUrl":"https://doi.org/10.1109/ICWS.2018.00040","url":null,"abstract":"CAPTCHA challenges are used all over the Internet to prevent automated scripts from spamming web services. However, recent technological developments have rendered the conventional CAPTCHA insecure and inconvenient to use. In this paper, we propose vCAPTCHA, a voice-based CAPTCHA system that would: (1) enable more secure human authentication, (2) more conveniently integrate with modern devices accessing web services, and (3) help collect vast amounts of annotated speech data for different languages, accents, and dialects that are under-represented in the current speech corpora, thus making speech technologies accessible to more people around the world. vCAPTCHA requires users to speak their responses, in order to unlock or use different web services, instead of typing them. These user responses are analyzed to determine if they were indeed naturally produced, and transcribed to ensure that they contain the challenge sentence. We build a prototype for vCAPTCHA in order to assess its performance and practicality. Our preliminary results show that we are able to achieve an attack success rate as low as 2.3% while maintaining a human success rate comparable to current CAPTCHAs, on ASVspoof datasets.","PeriodicalId":231056,"journal":{"name":"2018 IEEE International Conference on Web Services (ICWS)","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":"121902893","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

IFTM - Unsupervised Anomaly Detection for Virtualized Network Function Services 虚拟化网络功能业务的无监督异常检测

2018 IEEE International Conference on Web Services (ICWS) Pub Date : 2018-07-01 DOI: 10.1109/ICWS.2018.00031

Florian Schmidt, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Vincent Hennig, Feng Liu, O. Kao

{"title":"IFTM - Unsupervised Anomaly Detection for Virtualized Network Function Services","authors":"Florian Schmidt, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Vincent Hennig, Feng Liu, O. Kao","doi":"10.1109/ICWS.2018.00031","DOIUrl":"https://doi.org/10.1109/ICWS.2018.00031","url":null,"abstract":"Telecommunication system providers move their IP multimedia subsystems to virtualized services in the cloud. For such systems, dedicated hardware solutions provided a reliability of 99.999% in the past. Although virtualization offers more cost efficient usage of such services, it comes with higher complexity for providing reliable running software components due to the fragile computation stack. In order to hide the impact of such problematic behaviors, automatic mechanisms may help to detect degraded state anomalies in order to execute remediation actions. This work introduces IFTM as a framework for unsupervised anomaly detection in a distributed environment based on real-time monitoring data. The proposed approach consists of two key concepts using an automatic identity function and threshold learning to distinguish between normal and abnormal system behaviors. The evaluation is performed on a testbed running an open source implementation of the IP multimedia subsystem (Clearwater) executed on a replicated Openstack cloud environment. Results show the applicability of IFTM with high detection rates (98%) and low number of false alarms.","PeriodicalId":231056,"journal":{"name":"2018 IEEE International Conference on Web Services (ICWS)","volume":"42 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":"115511211","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: 18