检索结果-内蒙古大学图书馆

International Workshop on Wearable and Implantable Body Sensor Networks (BSN)

作者： Shanshan Chen John Lach Oliver Amft Marco Altini Julien Penders Charles L. Brown Department of Electrical & Computer Engineering University of Virginia Charlottesville USA ACT Laboratory Signal Processing Systems Eindhoven University of Technology Eindhoven Netherlands IMEC Netherlands Eindhoven Netherlands

ISBN: (纸本)9781479903313

Body sensor networks (BSNs) have provided the opportunity to monitor energy expenditure (EE) in daily life and with that information help reduce sedentary behavior and ultimately improve human health. Current approaches for EE estimation using BSNs require tedious annotation of activity types and multiple body sensor nodes during data collection and high accuracy activity classifiers during post processing. These drawbacks impede deploying this technology in daily life — the primary motivation of using BSNs to monitor EE. With the goal of achieving the highest EE estimation accuracy with the least invasiveness and data collection effort, this paper presents an unsupervised, single-node solution for data collection and activity clustering. Motivated by a previous finding that clusters of similar activities tend to have similar regression models for estimating EE, we apply unsupervised clustering to implicitly group activities with homogeneous features and generate specific regression models for each activity cluster without requiring manual annotation. The framework therefore does not require specific activity classification, hence eliminating activity type labels. With leave-one-subject-out cross-validation across 10 subjects, an RMSE of 0.96 kcal/min was achieved, which is comparable to the activity-specific model and improves upon a single regression model.

关键词： Feature extraction Data collection Accuracy Estimation Electrocardiography Accelerometers Heart rate

来源：评论

学校读者我要写书评

暂无评论

Erratum to: Methods for evaluating medical tests and biomarkers

引用

Diagnostic and prognostic research 2017年第1期1卷 11页

作者： Gowri Gopalakrishna Miranda Langendam Rob Scholten Patrick Bossuyt Mariska Leeflang Anna Noel-Storr James Thomas Iain Marshall Byron Wallace Penny Whiting Clare Davenport Gowri GopalaKrishna Isabel de Salis Sue Mallett Robert Wolff Richard Riley Marie Westwood Jos Kleinen Gary Collins Hans Reitsma Karel Moons Antonia Zapf Annika Hoyer Katharina Kramer Oliver Kuss J Ensor J J Deeks E C Martin R D Riley Gerta Rücker Susanne Steinhauser Martin Schumacher Joie Ensor Kym Snell Brian Willis Thomas Debray Jon Deeks Lavinia Ferrante di Ruffano Sian Taylor-Phillips Chris Hyde Stuart A Taylor Gauraang Batnagar Lavinia Ferrante Di Ruffano Farah Seedat Aileen Clarke Sarah Byron Frances Nixon Rebecca Albrow Thomas Walker Carla Deakin Zhivko Zhelev Harriet Hunt Yaling Yang Lucy Abel James Buchanan Thomas Fanshawe Bethany Shinkins Laure Wynants Jan Verbakel Sabine Van Huffel Dirk Timmerman Ben Van Calster Aeliko Zwinderman Jason Oke Jack O'Sullivan Rafael Perera Brian Nicholson Hannah L Bromley Tracy E Roberts Adele Francis Denniis Petrie G Bruce Mann Kinga Malottki Holly Smith Lucinda Billingham Alice Sitch Oke Gerke Mie Holm-Vilstrup Eivind Antonsen Segtnan Ulrich Halekoh Poul Flemming Høilund-Carlsen Bernard G Francq Jac Dinnes Julie Parkes Walter Gregory Jenny Hewison Doug Altman William Rosenberg Peter Selby Julien Asselineau Paul Perez Aïssatou Paye Emilie Bessede Cécile Proust-Lima Christiana Naaktgeboren Joris de Groot Anne Rutjes Johannes Reitsma Emmanuel Ogundimu Jonathan Cook Yannick Le Manach Yvonne Vergouwe Romin Pajouheshnia Rolf Groenwold Karen Moons Linda Peelen Daan Nieboer Bavo De Cock Micael J Pencina Ewout W Steyerberg Jennifer Cooper Nick Parsons Chris Stinton Steve Smith Andy Dickens Rachel Jordan Alexandra Enocson David Fitzmaurice Peymane Adab Charles Boachie Gaj Vidmar Karoline Freeman Martin Connock Rachel Court Carl Moons Jessica Harris Andrew Mumford Zoe Plummer Kurtis Lee Barnaby Reeves Chris Rogers Veerle Verheyden Gianni D Angelini Gavin J Murphy Jeremy Huddy Melody Ni Katherine Good Graham Cooke 1Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 2Cochrane Netherlands Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht Netherlands. 234Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 49Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 3Cochrane Dementia and Cognitive Improvement Group University of Oxford Oxford UK. 4EPPI-Centre Department of Social Science University College London London UK. 5Division of Health and Social Care Research King's College London London UK. 6College of Computer and Information Science Northeastern University Boston USA. 13University Hospitals Bristol NHS Foundation Trust School of Social and Community Medicine Bristol UK. 275Institute of Applied Health Research University of Birmingham Birmingham UK. 9Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 10School of Social and Community Medicine University of Bristol Bristol UK. 179Institute of Applied Health Research University of Birmingham Birmingham UK. 12Kleijnen Systematic Reviews Ltd York UK. 25Research Institute for Primary Care and Health Sciences Keele University Keele UK. 188Centre for Statistics in Medicine Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences University of Oxford Oxford UK. 191Julius Center for Health Sciences and Primary Care University Medical Center Utrecht 3584 CG Utrecht Netherlands. 237Julius Center for Health Sciences and Primary Care University Medical Center Utrecht 3584 CG Utrecht Netherlands. 18Department of Medical Statistics University Medical Center Göttingen Göttingen Germany. 19Institute for B

[This corrects the article DOI: 10.1186/s41512-016-0001-y.].

关键词：

来源：评论

学校读者我要写书评

暂无评论

On assessment of students' academic achievement considering categorized individual differences at engineering education (Neural Networks Approach)

On assessment of students' academic achievement considering ...

引用

International Conference on Information Technology Based Higher Education and Training, ITHET

作者： Hassan M. H. Mustafa Ayoub Al-Hamadi Saeed A. Al-Ghamdi Mohamed M. Hassan Adel A. Khedr Computer Engineering Department Al-Baha University Al-Baha Kingdom of Saudi Arabia Institute for Electronics Signal Processing and Communications (IESK) Otto-von-Guericke-University Magdeburg Germany Modern Academy for Engineering and Technology Cairo Egypt Electrical Engineering Department Al-Baha University Al-Baha Kingdom of Saudi Arabia Computer Engineering Department Modern Academy for Engineering and Technology Cairo Egypt

This work introduces analysis and evaluation of an interesting, challenging, and interdisciplinary, pedagogical issue. That's originated from categorization of the achievement diversity of students' (individual differences), equivalently students' Structure of the Observed Learning Outcome (SOLO). This students' academic diversity affected in classrooms by three interactive learning/teaching approaches (orientations) namely: surface, deep, and strategic. Assessment of these approaches has been performed via realistic simulation adopting Artificial Neural Networks (ANN s ) modeling considering Hebbian rule for coincidence detection learning. That modeling results in interesting mathematical analogy of two effective learning performance factors with students' achievement individual differences. Firstly, the effect of two brain functional phenomena; namely long term Potentiation (LTP) and depression (LTD). That's in accordance with opening time for crossing N-methyl-D-aspartate NMDA observed at hippocampus brain area. Secondly, the effect of neurons' number associated with diverse learning/teaching environments comprise the dichotomy (extroversion/introversion). This dichotomy has been investigated as the external and internal environmental learning conditions. The obtained simulation results concerned with student's diversity attitudes (extroversion/introversion). They shown to be in well agreement with recently published results after performing a case study at an engineering institution in Egypt. Finally, introduced study, aims mainly to present interesting analysis of brain's functional development based students' individual differences, and learning abilities.

关键词： Mathematical model Vectors Artificial neural networks Education Brain models

来源：评论

学校读者我要写书评

暂无评论

Complex Dynamical Behavior of a Two-Stage Colpitts Oscillator with Magnetically Coupled Inductors

引用

Journal of Chaos 2014年第1期2014卷

作者： V. Kamdoum Tamba H. B. Fotsin J. Kengne F. Kapche Tagne P. K. Talla Department of Physics Laboratory of Electronics and Signal Processing (LETS) Faculty of Science University of Dschang P.O. Box 67 Dschang *** Department of Telecommunication and Network Engineering IUT-Fotso Victor of Bandjoun University of Dschang P.O. Box 134 Bandjoun *** Department of Electrical Engineering Laboratory of Automation and Applied Computer (LAIA) IUT-Fotso Victor of Bandjoun University of Dschang P.O. Box 134 Bandjoun *** Department of Physics Laboratory of Mechanics and Modelling of Physical Systems (L2MPS) Faculty of Science University of Dschang P.O. Box 67 Dschang ***

A five-dimensional (5D) controlled two-stage Colpitts oscillator is introduced and analyzed. This new electronic oscillator is constructed by considering the well-known two-stage Colpitts oscillator with two further elements (coupled inductors and variable resistor). In contrast to current approaches based on piecewise linear (PWL) model, we propose a smooth mathematical model (with exponential nonlinearity) to investigate the dynamics of the oscillator. Several issues, such as the basic dynamical behaviour, bifurcation diagrams, Lyapunov exponents, and frequency spectra of the oscillator, are investigated theoretically and numerically by varying a single control resistor. It is found that the oscillator moves from the state of fixed point motion to chaos via the usual paths of period-doubling and interior crisis routes as the single control resistor is monitored. Furthermore, an experimental study of controlled Colpitts oscillator is carried out. An appropriate electronic circuit is proposed for the investigations of the complex dynamics behaviour of the system. A very good qualitative agreement is obtained between the theoretical/numerical and experimental results.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Application of a locality preserving discriminant analysis approach to ASR

Application of a locality preserving discriminant analysis a...

引用

2012 11th International Conference on Information Science, signal processing and their Applications, ISSPA 2012

作者： Tomar, Vikrant Singh Rose, Richard C. Telecom and Signal Processing Laboratory Department of Electrical and Computer Engineering McGill University Montreal QC Canada

ISBN: (纸本)9781467303828

This paper presents a comparison of three techniques for dimensionally reduction in feature analysis for automatic speech recognition (ASR). All three approaches estimate a linear transformation that is applied to concatenated log spectral features and provide a mechanism for efficient modeling of spectral dynamics in ASR. The goal of the paper is to investigate the effectiveness of a discriminative approach for estimating these feature space transformations which is based on the assumption that speech features lie on a non-linear manifold. This approach is referred to as locality preserving discriminant analysis (LPDA) and is based on the principle of preserving local within-class relationships in this non-linear space while at the same time maximizing separability between classes. This approach was compared to two well known approaches for dimensionality reduction, linear discriminant analysis (LDA) and locality preserving linear projection (LPP), on the Aurora 2 speech in noise task. The LPDA approach was found to provide a significant reduction in WER with respect to the other techniques for most noise types and signal-to-noise ratios (SNRs). © 2012 IEEE.

关键词： Speech recognition

来源：评论

学校读者我要写书评

暂无评论

Features for phoneme independent speaker identification

Features for phoneme independent speaker identification

引用

2012 3rd IEEE/IET International Conference on Audio, Language and Image processing, ICALIP 2012

作者： Wang, Jianglin Ji, An Johnson, Michael T. Speech and Signal Processing Laboratory Department of Electrical and Computer Engineering Marquette University Milwaukee WI United States

ISBN: (纸本)9781467301718

This paper describes a unique cross-phoneme speaker identification experiment, using deliberately mismatched phoneme sets for training and testing. The underlying goal is to identify features that represent broad individually unique characteristics rather than those that represent phonetic differences, as are more typical of modern speaker identification and verification systems. A wide range of features are proposed and evaluated within this context using a Gaussian Mixture Model framework. The results show that log-area ratio has better phonetic independence than MFCCs, that residual phase carries substantial speaker information, and identifies several other features that also have usefulness for speaker identification independent of phonetic content. © 2012 IEEE.

关键词： Gaussian distribution

来源：评论

学校读者我要写书评

暂无评论

On optimality of teaching quality for a mathematical topic using Neural Networks (with a case study)

On optimality of teaching quality for a mathematical topic u...

引用

IEEE Education engineering (EDUCON)

作者： Saeed A. Al-Ghamdi Hassan M. H. Mustafa Ayoub Al-Hamadi Mohammed H. Kortam AbdelAziz MAl-Bassiouni Electrical Engineering Department Al-Baha University Al-Baha Kingdom of Saudi Arabia Banha University Egypt Computer Engineering Department Al-Baha University Al-Baha Kingdom of Saudi Arabia Institute for Elecronics Signal Processing and Communications (IESK) Otto-von-Guericke-University Magdeburg Germany AISafa Modern Private Schools Safwa Eastern Province Kingdom of Saudi Arabia Telecommunication & Technology Company Cairo Egypt

This paper addresses an interdisciplinary approach integrating evaluation of an educational issue with Artificial Neural Network (ANN) modeling. Specifically, it is concerned with ANN modeling of two computer Assisted Learning (CAL) packages/modules using various learning rate values. Both packages are considered for teaching a mathematical topic: “How to solve long division problem?”. They have been submitted at the fifth grade classroom level in elementary schools (as a case study with or without associated teacher's voice). Furthermore, after the application of the suggested CAL packages, practical findings have been compared with classical learning obtained results. Interestingly, all findings are shown to be in agreement with simulation results after running the introduced realistic ANN model. Finally, this work investigated well how measured mathematical teaching quality could be fairly improved via assessment of two learning parameters' performance (achievement level & response time).

关键词： Decision support systems engineering education Conferences

来源：评论

学校读者我要写书评

暂无评论

Modified full abundance-constrained spectral unmixing

Modified full abundance-constrained spectral unmixing

引用

High-Performance Computing in Remote Sensing II

作者： Wong, Englin Chang, Chein-I Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250 United States

ISBN: (纸本)9780819492791

Abundance fully constrained least squares (FLCS) method has been widely used for spectral unmixing. A modified FCLS (MFCLS) was previously proposed for the same purpose to derive two iterative equations for solving fully abundance-constrained spectral unmixing problems. Unfortunately, its advantages have not been recognized. This paper conducts a comparative study and analysis between FCLS and MFCLS via custom-designed synthetic images and real images to demonstrate that while both methods perform comparably in unmixing data, MFCLS edges out FCLS in less computing time. © 2012 SPIE.

关键词： Iterative methods

来源：评论

学校读者我要写书评

暂无评论

Correction to “An Azimuth-Dependent Phase Gradient Autofocus (APGA) Algorithm for Airborne/Stationary BiSAR Imagery” [Nov 13 1290-1294]

引用

IEEE Geoscience and Remote Sensing Letters 2013年第6期10卷 1622-1622页

作者： Song Zhou Mengdao Xing Xiang-Gen Xia Yachao Li Lei Zhang Zheng Bao National Key Laboratory of Radar Signal Processing Xidian University Xi'an China Department of Electrical and Computer Engineering University of Delaware Newark DE USA

In the above paper (ibid., vol. 10, no, 6, pp. 1290-1294, Nov. 2013), there is an error in equation (5). The correction is presented here.

关键词： Azimuth Synthetic aperture radar Geophysical measurements Airborne radar

来源：评论

学校读者我要写书评

暂无评论

Tracking articulator movements using orientation measurements

Tracking articulator movements using orientation measurement...

引用

2012 3rd IEEE/IET International Conference on Audio, Language and Image processing, ICALIP 2012

作者： Ji, An Johnson, Michael T. Berry, Jeffrey Marquette University Department of Electrical and Computer Engineering Speech and Signal Processing Laboratory P. O. Box 1881 Milwaukee WI 53201-1881 United States

ISBN: (纸本)9781467301718

This paper introduces a new method to track articulator movements, specifically jaw position and angle, using 5 degree of freedom (5 DOF) orientation data. The approach uses a quaternion rotation method to accomplish this jaw tracking during speech using a single senor on the mandibular incisor. Data were collected using the NDI Wave Speech Research System for one pilot subject with various speech tasks. The degree of jaw rotation from the proposed approach is compared with traditional geometric calculation. Results show that the quaternion based method is able to describe jaw angle trajectory and gives more accurate and smooth estimation of jaw kinematics. © 2012 IEEE.

关键词： Degrees of freedom (mechanics)

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：