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Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction

Online Nonparametric Max-Margin Matrix Factorization for Col...

引用

ieee international conference on Data Mining (ICDM)

作者： Zhi Qiao Peng Zhang Wenjia Niu Chuan Zhou Peng Wang Li Guo Institute of Computing Technology of the Chinese Academy of Sciences QCIS University of Technology Sydney Australia Institute of Information Engineering Chinese Academy of Sciences

ISBN: (纸本)9781479943012

Max-margin matrix factorization (M3F) has been popularly applied to collaborative filtering for personalized recommendations. The nonparametric M3F model represents the latest progress of the M3F methods, which can auto-select the number of factors by using nonparametric techniques. However, existing non-parametric M3F methods assume a collection of user rating data can be fully obtained before training, and they are inapplicable for on-the-fly recommender systems where user rating data arrive continuously. In this paper, we present a new efficient online nonparametric 3F model for flexible recommendation. Specifically, we design an online nonparametric M3F model (OnM3F) based on the online Passive-Aggressive learning and solve the corresponding optimization problem by using the online stochastic gradient descent. Empirical studies on two large real-world data sets verify the effectiveness of the proposed method.

关键词： Collaboration Data models Adaptation models Bayes methods Computational modeling Learning systems Optimization

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Web 2.0 E-Voting System Using Android Platform

Web 2.0 E-Voting System Using Android Platform

引用

The 2010 ieee international conference on progress in informatics and computing

作者： César R.K.Stradiotto Angela I.Zotti Cludia O.Bueno Sonali P.M.Bedin Hugo C.Hoeschl Tania C.D.Bueno Thiago P.S.Oliveira Vinlcius O.Mirapalheta Programa de Pós-Graduacao em Engenharia e Géstao do Conhecimento-PPGEGC Universidade Federal de Santa Catarina UFSC Florianópolis - Brasil

This paper describes two experiences:The first experiment,called international Direct Digital Election(ID2E),is made for testing the viability for the international voting by mobiles using SMS protocol,using Web 2.0 tools to facilitate discussions about the election main *** second experiment is the construction of a voting prototype using Android platform smart phones,with applications and vote collecting databases available on dynamic web pages,trying to simulate de Identical Ballot Boxes strategy described in two papers of Alefragis, Lounis,Triantafillou and *** two experiments are part of a proposed e-Voting methodology,and were made with the final objective of surveying scenarios about international voting processes,to give some experimental base for future e-Voting projects at international level.

关键词： e-Voting System Android Web Services international Direct Digital Election ID2E

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Higher Order Factor Analysis of SERVQUAL Empirical findings from an e-learning system

Higher Order Factor Analysis of SERVQUAL Empirical findings ...

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The 2010 ieee international conference on progress in informatics and computing

作者： Ruobin Wang Computer and Network Center North China University of Technology School of Management and Economics Beijing Institute of Technology Beijing,China Kecheng Liu informatics Research Centre University of Reading Reading,United Kingdom School of Management and Economics Beijing Institute of Technology Beijing,China Mengmeng Zhang College of Information Engineering North China University of Technology Beijing,China Shilai Ma Computer and Network Center North China University of Technology Beijing,China

SERVQUAL model has been used to measure service quality in different *** most cases,this model was validated by confirmatory factor analysis *** objective of this research is to validate SERVQUAL model with higher order factor analysis approach to find whether or not there is a second-order component of service quality in the context of information system *** this objective,an empirical study is proceeded to validate one IS-adapted SERVQUAL model in the context of an e-learning system use. Results under higher order factor analysis approach reveal good fitness and effectiveness,which will provide support for the future research on relationships among affected factors with service quality.

关键词： service quality information system e-learning SERVQUAL higher order factor analysis

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Conversation Analysis (CA)-Informed Algorithmic Approach to Augmenting Closed Captions with Stressed Syllables to Help Thai EFL Learners Improve Their English Pronunciation

Conversation Analysis (CA)-Informed Algorithmic Approach to ...

引用

ieee international Smart Cities conference (ISC2)

作者： Prawit Boonmee Kemtong Sinwongsuwat Kanuengnij Kubola Prajaks Jitngernmadan Ponlawat Chophuk Shehenaz Shaik Sittisak Saechueng Jiranan Kongsomjit Faculty of Informatics Burapha University Chonburi Thailand Faculty of Liberal Arts Prince of Songkla University Songkla Thailand Faculty of Computing East Tennessee State University Johnson City Tennessee USA

ISBN: (数字)9798350364316

ISBN: (纸本)9798350364323

Closed captions have been proven to be effective resources for English as a Foreign Language (EFL) teaching. Informed by Conversation Analysis (CA) research, this study seeks to enhance closed captioning features to assist EFL learners in recognizing stress and intonation patterns in spoken English. Using an algorithmic approach, CA-informed closed captions (CC) were generated by underlining stressed syllables and capitalizing pitch accents. Our goal is to enable EFL learners, particularly those from non-stress-timed languages such as Thai, to articulate English with greater clarity and speak with higher intelligibility. Evaluation results demonstrate that the proposed approach achieved an accuracy of 63 %, with a precision of 90 % and recall of 61 %. Further work is in progress to evaluate and improve the usability of the application by EFL teachers and learners.

关键词： Smart cities Generative AI Education Closed captioning Oral communication Libraries Pattern recognition Multimedia communication Usability Stress

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A New Approach for Face Anti-Spoofing Using Handcrafted and Deep Network Features

A New Approach for Face Anti-Spoofing Using Handcrafted and ...

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ieee international conference on Service Operations and Logistics, and informatics, SOLI

作者： Polash Kumar Das Bin Hu Chang Liu Kaixin Cui Prabhat Ranjan Gang Xiong School of Electronic and Information Engineering South China University of Technology Guangzhou China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Science Beijing China College of Computer Science Sichuan University Chengdu China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China The Cloud Computing Center Chinese Academy of Science Dongguan China

In biometrics, face recognition methods are achieving momentum with recent progress in the computer vision(CV). Face recognition is widely used in the identification of an individual's identity. Unfortunately, in recent research work has revealed this face biometrics system is unprotected to spoofing attacks using by very low price instrument such as printed 2D photos attack, 3D masking attack and taking videos using smart devices (reply attack). Therefore, a Liveness Attack Detection (LAD) approach is needed to improve the high-quality security of face recognition system. Most of the earlier worked LAD methods for face anti-spoofing methods have highlight on using the handcrafted features, which are developed by expert knowledge of researcher. As example Gabor filter, Histogram of Oriented Gradients, local ternary pattern, and the Local Binary Pattern. Because of that, the extracted features consider limited factors of the problem, yielding a capture accuracy that is very low and changes with the point of presentation in attack face images. The deep learning method has developed in the computer vision research community, which is proven to be suitable for automatically training. In this article, we approach to mix or combine the handcrafted features and deep neural network features to design the discriminant face spoofing detection. The handcrafted features were based on LBP analysis. We examine the features information from the brightness and the chrominance channels using LBP descriptor. In deep features, we present an approach based on pre-trained convolutional neural network VGG-16 model using static features to recognize video and printed(2D) photo attacks. By attaching this two types of image features on our dataset and public databases, we get good results to identify real and attack images feature, called hybrid features, which has better discrimination ability to understand spoofing image feature.

关键词： Face Videos Feature extraction Databases Face recognition Password

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Cardiac ultrasound multiview fusion using a multicamera tracking system

Cardiac ultrasound multiview fusion using a multicamera trac...

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ieee EMBS international conference on Information Technology Applications in Biomedicine (ITAB)

作者： Kumaradevan Punithakumar Peter W. Wood Marina Biamonte Michelle Noga Pierre Boulanger Harald Becher Department of Radiology & Diagnostic Imaging University of Alberta AB Canada ABACUS Mazankowski Alberta Heart Institute AB Canada Department of Computing Science University of Alberta AB Canada

This study presents a novel approach to fuse multiple three-dimensional ultrasound scans using a multi-camera tracking system. Recent advances in echocardiography allow real-time three-dimensional dynamic acquisition of the heart. However, one of the major limitations of the three-dimensional echocardiography is the limited field-of-view (FOV), which may lead to an acquisition insufficient to cover the whole geometry of the heart. Recently, methods to improve the FOV and image quality have been introduced by acquiring multiple conventional single-view images with small transducer movements. These methods rely on image registration to align singleview images, and therefore, require sufficient overlap between images to obtain accurate alignment. In this study, we propose a method that relies on a multi-camera tracking system external to the images for image alignment, and therefore, it does not have the constraints of image overlap or quality. The multicamera tracking system is capable of tracking position and orientation information of several objects simultaneously. The accuracy of the alignment of the multi-camera tracking system is superior to the image resolution of echocardiography images. In this pilot project, we used a dynamic heart phantom and a cuboid gelatin phantom to evaluate our method and showed that the proposed method yielded an accurate alignment of image volumes in three-dimensional space.

关键词： Ultrasonic imaging Transducers Tracking Echocardiography Heart Phantoms Image quality

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Feature extraction from ear-worn sensor data for gait analysis

Feature extraction from ear-worn sensor data for gait analys...

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ieee EMBS international conference on Information Technology Applications in Biomedicine (ITAB)

作者： Ling Li Louis Atallah Benny Lo Guang-Zhong Yang School of Computing University of Kent Kent U.K. Imperial College London Institute of Global Health Innovation London UK

Gait analysis has a significant role in assessing human's walking pattern. It is generally used in sports science for understanding body mechanics, and it is also used to monitor patients' neuro-disorder related gait abnormalities. Traditional marker-based systems are well known for tracking gait parameters for gait analysis, however, it requires long set up time therefore very difficult to be applied in everyday realtime monitoring. Nowadays, there is ever growing of interest in developing portable devices and their supporting software with novel algorithms for gait pattern analysis. The aim of this research is to investigate the possibilities of novel gait pattern detection algorithms for accelerometer-based sensors. In particular, we have used e-AR sensor, an ear-worn sensor which registers body motion via its embedded 3-D accelerom-eter. Gait data was given semantic annotation using pressure mat as well as real-time video recording. Important time stamps within a gait cycle, which are essential for extracting meaningful gait parameters, were identified. Furthermore, advanced signal processing algorithm was applied to perform automatic feature extraction by signal decomposition and reconstruction. Analysis on real-word data has demonstrated the potential for an accelerometer-based sensor system and its ability to extract of meaningful gait parameters.

关键词： Feature extraction Acceleration Semantics Foot Accelerometers Signal reconstruction Parkinson's disease

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W2E — Wellness Warehouse Engine for semantic interoperability of consumer health data

W2E — Wellness Warehouse Engine for semantic interoperabili...

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ieee EMBS international conference on Information Technology Applications in Biomedicine (ITAB)

作者： Mika Saaranen Jakub Parak Harri Honko Timo Aaltonen Ilkka Korhonen Department of Pervasive Computing Tampere University of Technology Tampere Finland Department of Circuit Theory Czech Technical University in Prague Prague Czech Republic Department of Signal Processing Tampere University of Technology Tampere Finland VTT Technical Research Centre of Finland Tampere Finland

Novel health monitoring devices and applications allow consumers easy and ubiquitous ways to monitor their health status. However, technologies from different providers lack both technical and semantic interoperability and hence the resulting health data is often deeply tied to specific service, which is limiting its re-usability and utilization in different services. We have designed a Wellness Warehouse Engine (W2E) that bridges this gap and enables seamless exchange of data between different services. W2E provides interfaces to various data sources and makes data available via unified REST API to other services. Importantly, it includes Unifier - an engine that allows transforming input data into generic units reusable by other services, and Analyzer - an engine that allows advanced analysis of input data, such as combining different data sources into new output parameters. In this paper, we describe the architecture of W2E and demonstrate its applicability by using it for uniting data from several consumer activity trackers. Finally, we discuss challenges of building Unifier and Analyzer engines for ever-enlarging number of new devices.

关键词： Engines Calibration Semantics Interoperability Educational institutions Monitoring Energy resolution

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A Generic Framework for Synchronized Distributed Data Management in Archaeological Related Disciplines

A Generic Framework for Synchronized Distributed Data Manage...

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ieee international conference on e-Science and Grid computing

作者： Johannes-Y. Lohrer Daniel Kaltenthaler Peer Kröger Christiaan H. van der Meijden Henriette Obermaier Institute for Informatics Ludwig-Maximilians-Universitat Munich Germany Ludwig-Maximilians-Universitat Munchen Munchen Bayern DE Bavarian State Collection for Anthropology and Palaeoanatomy Munich Germany

In this paper, we describe xBook, a generic, open-source e-Science infrastructure for distributed, relational data management that is particularly designed for the needs of archaeological related disciplines. The key feature of xBook is that it can be used as an offline resource at remote sites during excavations and can be synchronized with a central server at any time. While some scientists can record data in xBook in the field where no internet connection is available, colleagues can already work with and analyze the previously synchronized data via the central server at any location in the world. Due to the modular implementation, any relational data schema can be implemented in xBook. This way, xBook provides a flexible data management service that is not tailored to a specific discipline or view but can be customized to any specific need to support e-Science applications. It could potentially be used in any application and offers the synchronization feature to any domain. Incarnations of the xBook framework are used in archaeology, and archaeobiology (anthropology and archaezoology). We will highlight one of them, OssoBook, an e-Science service that implements a data model for animal remains from archaeological sites (mainly bones) and has emerged as one of the European standards for archaeozoology.

关键词： Synchronization Servers Internet Graphical user interfaces Distributed databases Data analysis

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Instrumentation to detect contamination of insulating oil in motors applied to electrical submersible pump

Instrumentation to detect contamination of insulating oil in...

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ieee/IAS international conference on Industry Applications (INDUSCON)

作者： Andres O. Salazar Diego A. M. Fonsêca André L. Martelli Francisco Fontes Filipe de Oliveira Quintaes Department of Computing and Automation Engineering Federal University of Rio Grande do Norte Natal RN Brazil Universidade Federal do Rio Grande do Norte Natal RN BR Informatics Department Federal Institute of Rio Grande do Norte Natal RN Brazil

The purpose of this paper is to presents a design of a magnetic sensor capable of detecting contamination of insulating oil used in the artificial lift method of oil-type electrical submersible pump (ESP). The sensor generates an alarm signal at the moment when the contamination oil is present. This signal is transmitted to the surface by communication system which uses the tree-phase motor power. This diagnostic information enables the implementation of predictive maintenance (condition monitoring) functions. For plant operators, this therefore makes it possible to detect faults in advance and implement measures to improve operational reliability and keep the downtimes of plants to a minimum. The prototype was designed to work in harsh conditions to reach a depth of 2000 m and temperatures up to 200 C. It used simulator software to define the mechanical and electromagnetic variables. Results of field experiments were performed to validate the prototype. The final results performed in an ESP system with a 62-HP motor showed a good reliability and fast response of the prototype.

关键词： Magnetic flux Magnetic cores Induction motors Contamination Coils Oil insulation Ferrites

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