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17th International Conference on Human-Computer Interaction, HCI International 2015

作者： Zeng, Yi-Chong Chan, Ya-Hui Lin, Ting-Yu Shih, Meng-Jung Hsieh, Pei-Yu Chao, Guan-Lin Data Analytics Technology and Applications Research Institute Institute for Information Industry Taiwan Department of Electrical Engineering National Taiwan University Taiwan

ISBN: (纸本)9783319206172

Aiming at development of intelligent service on mobile device, this paper proposes a new travel information query method, which combines image acquisition device, image recognition, and recommendation technologies. The framework of information query consists of four components, including passive information query, active information query, trip scheduling, and information management. A prototype application is designed to demonstrate the feasibility of smart tourism guidance by mobile device. User can browses stationary information through the application program. Furthermore, the user takes pictures and transmits it to cloud server. The cloud server hosts image recognition and delivers the corresponding information to the user. For trip scheduling, the prototype recommends the proper trips to guide user easily, which is referred to user’s preferences with location based service. The resultants will demonstrate that the prototype is implemented by an application program runs on mobile device. It is powerful to search for travel information and to generate trip schedules. © Springer International Publishing Switzerland 2015.

关键词： Location based services

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Integer programming model formulations for over constrained flight - Gate assignment problem 45

Integer programming model formulations for over constrained ...

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45th International Conference on Computers and Industrial engineering, CIE 2015

作者： Ozturk, C. Ornek, A. Sugut, I. Insight Centre for Data Analytics University College Cork Cork Ireland Department of Industrial Engineering Izmir University of Economics Izmir Turkey

Flight - Gate assignment problems are complex real world problems involving different constraints. Some of these constraints include plane-gate eligibility, assigning planes of the same airline and planes getting service from the same ground handling companies to adjacent gates, buffers for changes in flight schedules, night stand flights, priority of some gates over others, and so on. In literature there are models to solve this highly complicated problem and tackle its complexity. In this study, we propose two different Integer programming (IP) models, namely, timetabling and assignment based models to solve the problem to optimality. These models prove to be highly efficient in that the computational times are quite short. We also provide the results for one day operation of an airport using real world data. Although, the research is still in progress, in the final section we present our conclusions based on our study done so far.

关键词： Integer programming

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XPLODIV: An exploitation-exploration aware diversification approach for recommender systems 28

XPLODIV: An exploitation-exploration aware diversification a...

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28th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2015

作者： Barraza-Urbina, Andrea Heitmann, Benjamin Hayes, Conor Carrillo-Ramos, Angela Insight Centre for Data Analytics NUI Galway Ireland College of Engineering and Informatics NUI Galway Ireland Pontificia Universidad Javeriana Bogotá Colombia

ISBN: (纸本)9781577357308

Recommender Systems (RS) have emerged to guide users in the task of efficiently browsing/exploring a large product space, helping users to quickly identify interesting products. However, suggestions generated with traditional RS usually do not produce diverse results though it has been argued that diversity is a desirable feature. The study of diversity-aware RS has become an important research challenge in recent years, drawing inspiration from diversification solutions for Information Retrieval (IR). However, we argue it is not enough to adapt IR techniques to RS as they do not place the necessary importance to factors such as serendipity, novelty and discovery which are imperative to RS. In this work, we propose a diversification technique for RS that generates a diversified list of results which not only balances the trade-off between quality (in terms of accuracy) and diversity, but also considers the trade-off between exploitation of the user profile and exploration of novel products. Our experimental evaluation shows that the proposed approach has comparable results to state of the art approaches. In addition, through control parameters, our approach can be tuned towards more explorative or exploitative recommendations. Copyright © 2015, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Recommender systems

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Automated quantitative assessment of QRS fragmentation can improve non-invasive risk stratification

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Journal of Electrocardiology 2017年第6期50卷 862-862页

作者： J. Ector C. Garweg G. Goovaerts S. Van Huffel B. Vandenberk R. Willems Department of Cardiovascular Sciences KU Leuven Leuven Belgium Department of Cardiology University Hospitals Leuven Leuven Belgium Department of Electrical Engineering (ESAT) STADIUS Center for Dynamical Systems Signal Processing and Data Analytics KU Leuven Leuven Belgium IMinds Medical IT Leuven Belgium

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A Benchmark for Cross-Weather Traffic Scene Understanding

A Benchmark for Cross-Weather Traffic Scene Understanding

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IEEE International Conference on Intelligent Transportation Systems

作者： Shuai Di Honggang Zhang Xue Mei Danil Prokhorov Haibin Ling School of Information and Communication Engineering Beijing University of Posts and Telecommunications China Toyota Research Institute North America Ann Arbor USA Center for Data Analytics & Biomedical Informatics Dept. of Computer & Information Sciences Temple University Philadelphia USA

ISBN: (纸本)9781509018901

Understanding traffic scene images taken from vehicle mounted cameras provides important information for high level tasks such as autonomous driving and advanced driver assistance. The problem is hard due to challenges from weather and illumination variation. To facilitate the research against such challenges, in this paper we present a new benchmark for cross-weather traffic scene understanding. The dataset consists of 1,356 traffic scene images collected at 226 different locations. For each location, there are six images taken by a vehicle mounted camera under different weather/illumination conditions including sunny day, night, snowy day, rainy night and cloudy days. We manually annotated each image with scene understanding labels such as road, sky, building, etc. To the best of our knowledge, this is the first carefully collected benchmark for cross-weather traffic scenes. In addition, we also provide results from two popular scene parsing systems as the baselines. We expect the benchmark to help boost research in improving robustness of traffic scene understanding algorithms.

关键词： Roads Clouds Automobiles Strips Buildings Vegetation Vegetation mapping

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Heart rate independent QT variability component can detect subclinical cardiac autonomic neuropathy in diabetes

Heart rate independent QT variability component can detect s...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Mohammad H Imam Chandan K Karmakar Ahsan H Khandoker Herbert F Jelinek M Palaniswami Department of Electrical & Electronic Engineering The University of Melbourne Melbourne VIC Australia Centre for Pattern Recognition and Data Analytics Deakin University Geelong Australia Department of Biomedical Engineering Khalifa University of Science Technology and Research Abu Dhabi UAE School of Community Health Charles Sturt University Albury Australia

ISBN: (纸本)9781457702198

Cardiac autonomic neuropathy (CAN) may lead to life threatening arrhythmia due to denervation of both the parasympathetic and sympathetic branches of autonomic nervous system innervating the heart. CAN is a frequently under diagnosed complication of diabetes, because a patient can have asymptomatic CAN for several years before it is clinically apparent. However, detection of CAN at the early or subclinical stage leads to more effective treatment outcomes. Cardiac autonomic reflex tests (CART) (i.e. Ewing test battery) are normally used for the detection and staging of CAN. These tests have limitations with the necessity of active participation of the patients for test maneuvers, as a majority of patients will not be able to complete all five tests required due to comorbidities such as frailty, obesity or cardiorespiratory disease. CAN affects both heart rate (measured by RR interval dynamics) and ventricular repolarization function (i.e. QT interval dynamics) of the heart, which can be efficiently analyzed from surface ECG. Therefore, ECG based diagnosis techniques of CAN analysis are becoming popular as they can reduce the limitations of CARTs used traditionally for CAN detection and it complements CART results. In this study, the performance of an ECG based QTV feature derived using a model free approach, which can quantify the QTV component not affected directly by the heart rate (HR) variation, is compared with some other measures of QTV and HRV in subclinical CAN detection in diabetes. Short-term ECGs (i.e. 5 min long) of 60 diabetic subjects without CAN and 50 diabetic subjects detected with early level of CAN determined by CART were analyzed. The proposed measure for quantifying the QTV component independent of HR denoted as QTV~RR stands out to be more discriminatory than other existing variability measures of QTV and HRV in subclinical detection of CAN.

关键词： sugar blood cardiovascular system diseases electrocardiography feature extraction medical signal processing

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Irregular heartbeats detection using tensors and Support Vector Machines

Irregular heartbeats detection using tensors and Support Vec...

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Computers in Cardiology (CinC)

作者： Alexander A. Suárez León Griet Goovaerts Carlos R. Vázquez Seisdedos Sabine Van Huffel Electrical Engineering Faculty Universidad de Oriente Santiago de Cuba Santiago de Cuba CU iMinds Medical Information Technologies Belgium Department of Electrical Engineering-ESAT KU Leuven Belgium STADIUS Centre for Dynamical Systems Signal Processing and Data Analytics Katholieke Universiteit Leuven Leuven Flanders BE

ISBN: (纸本)9781509008964

The automatic analysis of Heart Rate Variability in records of ambulatory electrocardiogram (AECG) requires the detection of irregular heartbeats which cannot be included in the ansalysis. This article presents a novel approach for detecting irregular beats using tensors and Support Vector Machines. After signal filtering, for each record of the database a third order tensor was constructed. Next, a rank-3 Canonical Polyadic Decomposition (CPD) was applied. CPD yields three loading matrices corresponding to the modes space (channel), time course and heartbeats respectively. The heartbeat mode matrix was used as the input of a linear Support Vector Machine (SVM) classifier. The SVM was trained for classifying between irregular and normal heartbeats. The training set was randomly selected from the 2% of the patterns in each record. The classifiers show a global accuracy of 97.2%. The results suggest that this approach is a promising method for detecting irregular heartbeats.

关键词： Heart rate variability Electrocardiography Tensile stress Support vector machines databases Heart beat Training

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Extended model formulations for cell loading and family scheduling problem with individual due dates to minimise maximum tardiness 45

Extended model formulations for cell loading and family sche...

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45th International Conference on Computers and Industrial engineering, CIE 2015

作者： Ozturk, C. Suer, G.A. Insight Centre for Data Analytics University College Cork Cork Ireland Industrial and Systems Engineering Department Ohio University AthensOH United States

In this paper, we present two mathematical model formulations for cell loading and family scheduling problem with individual due dates to minimize maximum tardiness. The problem and an initial model formulation along with a genetic algorithm were presented in a recent paper where sequence independent setup times between jobs of different families were assumed. In this study, first, we develop a tighter model formulation for the same problem. Then, we extend the tighter model formulation to manufacturing cells in which sequence dependent setup times exist. We also provide numerical examples to demonstrate application of the model formulations.

关键词： Genetic algorithms

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Low-rank approximation-based distributed node-specific signal estimation in a fully-connected wireless sensor network 40

Low-rank approximation-based distributed node-specific signa...

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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015

作者： Hassani, Amin Bertrand, Alexander Moonen, Marc KU Leuven Dept. of Electrical Engineering-ESAT Stadius Center for Dynamical Systems Signal Processing and Data Analytics Kasteelpark Arenberg 10 Leuven Belgium

ISBN: (纸本)9781467369978

In this paper, we consider the problem of distributed estimation of node-specific signals in a fully-connected wireless sensor network with multi-sensor nodes. The estimation relies on a data-driven design of a spatial filter, referred to as the generalized eigenvalue decomposition (GEVD)-based multi-channel Wiener filter (MWF). In non-stationary or low-SNR conditions, this GEVD-based MWF has been demonstrated to be more robust than the original MWF due to an inherent GEVD-based low-rank approximation of the sensor signal correlation matrix. In a centralized realization where a fusion center has access to all the nodes' sensor signal observations, the network-wide sensor signal correlation matrix and its low-rank approximation can be directly estimated from the sensor signals. However, in this paper we aim to avoid centralizing the sensor signal observations, in which case this network-wide correlation matrix cannot be estimated. We introduce a distributed algorithm which is able to significantly compress the broadcast signals while still converging to the centralized GEVD-based MWF as if each node would have access to all sensor signal observations. © 2015 IEEE.

关键词： distributed estimation generalized eigenvalue decomposition (GEVD) low rank approximation wireless sensor networks (WSNs)

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Customer buying behaviour analysis in mass customization 17

Customer buying behaviour analysis in mass customization

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17th International Configuration Workshop, ConfWS 2015

作者： Singh, Tilak Raj Rangaraj, Narayan IT-Data Analytics Mercedes-Benz R and D India Bangalore India Industrial Engineering and Operations Research Indian Institute of Technology Bombay Powai Mumbai India

Motivated by the importance of customer buying behaviour (such as correlation among product attributes/features of products configured in the past) in planning future configurations, this paper addresses the issue that product evolution (upgrades) usually render information gathered from past buying behaviour at least partially unusable. For instance, relations among features might have been changed, thus making it difficult to configure the same products again. The proposed approach aims to (1) find associations between product attributes based on the analysis of prior customer orders (2) apply configuration rules to prune attribute association rules which are not controlled by customers, and (3) check whether derived attribute association rules from past orders also work for the new upgraded product. Attribute associations consistent with the upgraded product are then used to predict configurations for production planning. We use machine learning algorithms and optimization techniques to address these issues.

关键词： Association rules

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