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11th ASME International Manufacturing Science and Engineering Conference (MSEC)

作者： Du, Juan Zhang, Xi Peking Univ Beijing Peoples R China

ISBN: (纸本)9780791849903

Leak tightness is one of the key quality characteristics of oil pipelines. In pipe connection processes, this quality characteristic is mainly characterized by two critical interpretable change points in the torque signals collected by sensors mounted on the connection machine. However, because of various noises from the operation and measurement systems, latent process factors, such as mechanical return difference, assembling misalignment, and straightness of pipes, cause various nonlinear patterns to exist in the torque signals. Hence, precisely identifying the change points for automatic quality examination is still challenging. In this paper, a two-stage modeling framework is proposed to utilize sequential change point detection to precisely locate the two critical change points. A two-phase regression model based on the F maximum test is employed to detect all potential change points in the first stage. Subsequently, a two-step backward change point selection algorithm based on mechanical principles is implemented to select the critical change points in the second stage. Finally, the change point selection based on a three-phase regression model is developed. The efficacy of the proposed framework is validated by a case study on a real threaded steel pipe connection process.

关键词： selection algorithm Sensors Steel Pipelines Leakage Regression models Torque Measurement systems Modeling Signals Noise (Sound) Pipes Machinery

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The Integration among Disambiguation Lexical Resources for more Effective Phrase-Level Contextual Polarity Recognition 9

The Integration among Disambiguation Lexical Resources for m...

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9th International Conference on Computer Engineering & Systems (ICCES)

作者： Abdelrahman, Samir E. Sayed, Ebtsam Abdelhakam Bahgat, Reem Cairo Univ Fac Comp & Informat Dept Comp Sci Giza Egypt Menia Univ Fac Comp & Informat Dept Comp Sci Al Minya Egypt

ISBN: (纸本)9781479965946

Phrase-level polarity disambiguation recently became attractive. Nowadays, most corners of the sentiment analysis research have been investigated while the core and hard parts are not yet intensively explored, among which polarity disambiguation is one. In this research, we propose the integration between two SentiWordNet-based resources on phrase-level polarity disambiguation: (1) its score for the best word sense identified by a word sense disambiguation algorithm and (2) its examples having the non-zero scores of the prior polarities for the related subjectivity lexicon words. The integration of subjectivity lexicon word prior polarities together with Senti-WordNet scores and examples of word contexts were presented as classifier features to reduce the classification disambiguation. Our empirical evaluation is twofold. First, an experimental analysis was intrinsically conducted using various lexical resource settings coupled with feature selection algorithms to improve the classifier contextual subjective and sentiment polarity recognition. Second, the integration was extrinsically applied to improve the opinion question answering ranking task. These evaluations prove the superiority of the proposed integration in comparison with the state-of-the-art seminal work and baselines.

关键词： feature selection natural language processing pattern classification question answering (information retrieval) SentiWordNet-based resources classification disambiguation reduction classifier contextual subjective recognition disambiguation lexical resources feature selection algorithms lexical resource settings opinion question answering ranking task phrase-level contextual polarity recognition phrase-level polarity disambiguation sentiment analysis sentiment polarity recognition subjectivity lexicon word prior polarities word contexts word sense disambiguation algorithm Blogs Filtering blogs Natural Language Processing Pattern recognition Feature extraction polarity Filtration selection algorithm Sentiment analysis DNA Integration integration Word Classifiers

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Survival Models for the Duration of Bid-Ask Spread Deviations

Survival Models for the Duration of Bid-Ask Spread Deviation...

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IEEE Conference on Computational Intelligence for Financial Engineering and Economics (CIFEr)

作者： Panayi, Efstathios Peters, Gareth UCL Dept Comp Sci London WC1E 6BT England UCL Dept Stat London WC1E 7HB England

ISBN: (纸本)9781479923809

Many commonly used liquidity measures are based on snapshots of the state of the limit order book (LOB) and can thus only provide information about instantaneous liquidity, and not regarding the local liquidity regime. However, trading in the LOB is characterised by many intra-day liquidity shocks, where the LOB generally recovers after a short period of time. In this paper, we capture this dynamic aspect of liquidity using a survival regression framework, where the variable of interest is the duration of the deviations of the spread from a pre-specified level. We explore a large number of model structures using a branch-and-bound subset selection algorithm and illustrate the explanatory performance of our model.

关键词： Analyticalmodels Educationalinstitutions Electricshock Randomvariables Security Stockmarkets Vectors Security Snapshots Cloning Vectors Deviation liquidity Model structures selection algorithm short duration

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User-Sensitive and Quality-Driven Discovery of Context Information for the Successful Delivery of Context-Aware Services

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INTERNATIONAL JOURNAL OF PERVASIVE COMPUTING AND COMMUNICATIONS 2007年第3期2卷 219-228页

作者： Chantzara, Maria Anagnostou, Miltiades NTUA Sch Elect & Comp Engn 9 Heroon Polytech Str Athens 15773 Greece

The successful provision of context-awareness in pervasive environments requires the support of autonomic management facilities that provide ways to efficiently acquire and use contextual information. This paper claims that in order to offer viable context-aware services, the issue of context imperfection and aging as well as the alignment of the context information that is used by a service with the customized service objectives should be taken into account. It presents an approach for managing the selection of context sources considering the freshness and actuality of the available information, and dynamically adapting to any source change and failure. Accordingly, there is no need to know beforehand the context sources to obtain the required information, but a quality-aware discovery of the sources is envisioned. Finally, the proposed approach allows services to be ported easily to an environment with a different set of context sources.

关键词： Quality of context context matching engine context evaluation context validation selection algorithm

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A Multi-Armed Bandit Approach to Atmospherically-Aware Altitude Optimization

A Multi-Armed Bandit Approach to Atmospherically-Aware Altit...

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AIAA Science and Technology Forum and Exposition (AIAA SciTech)

作者： Bird, John J. Langelaan, Jack W. Univ Colorado Boulder Dept Aerosp Engn Sci Boulder CO 80303 USA Penn State Univ Dept Aerosp Engn University Pk PA 16802 USA

ISBN: (数字)9781624105951

ISBN: (纸本)9781624105951

Small UAS typically fly at low altitudes where the atmospheric environment is complex and uncertain. Typical error in even the best modern weather forecasting systems introduces significant uncertainty into the optimal flight path for a UAS to complete a mission and the energy required. Existing approaches to managing this uncertainty involve creating flight plans whose cost is robust to uncertainty or assimilating aircraft observations into a weather model to eliminate forecast error. Robust approaches cannot respond to the real atmospheric environment and data assimilation requires a high bandwidth data link and significant computational resources be dedicated to the aircraft. This paper proposes a multi-armed bandit inspired approach to altitude optimization. By taking advantage of the spectral characteristics of atmospheric motion this approach enables an aircraft to seek low-cost altitudes while maintaining a model of the atmosphere using in situ sensing and computational resources. In simulation the approach demonstrates performance superior to a collocation based optimal control technique, identifying low cost regions and rejecting poor information provided to the planner by a forecast.

关键词： Atmospheric Environment Trajectory Optimization Flight Planning Weather Forecasting Energy Consumption Kalman Filter selection algorithm Transport Aircraft Solar Power Markov Decision Process

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Automated selection of Relevant Information for Notification of Incident Cancer Cases within a Multisource Cancer Registry

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METHODS OF INFORMATION IN MEDICINE 2013年第5期52卷 411-421页

作者： Jouhet, V. Defossez, G. Ingrand, P. Ctr Hosp Univ Poitiers Fac Med Unite Epidemiol Biostat & Registre Canc Poitou Ch 6 Rue MilBP 199 F-86034 Poitiers France CHU Bordeaux Serv Informat Med Bordeaux France Univ Poitiers Ctr Regrp Informat & Stat Anat Pathol Fac Med F-86034 Poitiers France Ctr Hosp Gen Georges Renon Coll Reg Informat Med Poitou Charentes Niort France INSERM CIC 802 Poitiers France

Objective: The aim of this study was to develop and evaluate a selection algorithm of relevant records for the notification of incident cases of cancer on the basis of the individual data available in a multi-source information system. Methods: This work was conducted on data for the year 2008 in the general cancer registry of Poitou-Charentes region (France). The selection algorithm hierarchizes information according to its level of relevance for tumoral topography and tumoral morphology independently. The selected data are combined to form composite records. These records are then grouped in respect with the notification rules of the International Agency for Research on Cancer for multiple primary cancers. The evaluation, based on recall, precision and F-measure confronted cases validated manually by the registry's physicians with tumours notified with and without records selection. Results: The analysis involved 12,346 tumours validated among 11,971 individuals. The data used were hospital discharge data (104,474 records), pathology data (21,851 records), healthcare insurance data (7508 records) and cancer care centre's data (686 records). The selection algorithm permitted I performances improvement for notification of tumour topography (F-measure 0.926 with vs. 0.857 without selection) and tumour morphology (F-measure 0.805 with vs. 0.750 without selection). Conclusion: These results show that selection of information according to its origin is efficient in reducing noise generated by imprecise coding. Further research is needed for solving the semantic problems relating to the integration of heterogeneous data and the use of non-structured information.

关键词： Multisource information system cancer registry tumour notification selection algorithm relevant information

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Smart PDR integration for ubiquitous pedestrian navigation service 13

Smart PDR integration for ubiquitous pedestrian navigation s...

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13th International Wireless Communications and Mobile Computing Conference (IWCMC)

作者： Hassen, Wiem Fekih Najjar, Faiza Brunie, Lionel Kosch, Harald Slimani, Yahya Carthage Univ INSAT LISI Lab Tunis 1080 Tunisia INSA Lyon LIRIS Lab F-69100 Lyon France ENSI Campus Univ Manouba Manouba 2010 Tunisia Univ Passau Passau Germany

ISBN: (纸本)9781509043729

Quite recently, considerable attention has been paid to pedestrian navigation services, since they provide people with guidance and tracking information everywhere especially in an unfamiliar environment. In the literature, indoor and outdoor navigation has been widely investigated. However, studies on the continuity of pedestrian navigation service, still lacking. This paper presents a novel positioning technology selection algorithm able to integrate the pedestrian dead reckoning (PDR) technique, for short-term, through the navigation process either to improve the calculation of the mobile unit's (MU) position and/or to maintain the continuity of the service. The integration of the PDR is inferred based on the fuzzy logic approach. In fact, the proposed algorithm defines a fuzzy variable called "margin" which identifies four different states, namely, confidence, intermediate, confusion and critic. The PDR technique is only incorporated in the last two states in two ways: either fused with the used radio frequency (RF) positioning technology or stand-alone if no RF technology is available. The algorithm performance is evaluated based on an empirical study.

关键词： Pedestrian navigation system selection algorithm positioning technology PDR fuzzy logic

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On the Accuracy of Packet-based Measurements in the PTP Telecom Profile 3

On the Accuracy of Packet-based Measurements in the PTP Tele...

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IEEE International Workshop on Measurements And Networking (M&N)

作者： Giorgi, Giada Narduzzi, Claudio Univ Padua Dept Informat Engn Padua Italy

ISBN: (纸本)9781479918607

Recent years have witnessed an increased interest in Precision Time Protocol (PTP) in telecommunication networks, either as an alternative to Global Positioning System (GPS) or as synchronization back-up. To achieve node synchronization at the mu s-level, very accurate measurements of time offsets are needed. However, unless PTP is fully supported throughout the network, timing packets may be subjected to propagation delays whose variability can significantly impair measurement. In the PTP telecommunication profile Sync packets can be broadcast at high rate, providing a slave node with statistical information that can be employed to detect and estimate such network effects. The accuracy of these estimates is analyzed in the paper, which considers the assumed underlying probability models and discusses statistical aspects for PTP packets affected by variable queuing delays. Characteristics of packet selection algorithms in ITU-T Recommendations are analyzed, providing indications on performance.

关键词： 4G mobile communication Long Term Evolution protocols queueing theory statistical analysis synchronisation PTP telecom profile fourth generation Long Term Evolution network node synchronization packet selection algorithm packet-based measurement precision time protocol statistical information telecommunication network time offset measurement underlying probability model variable queuing delay Accuracy Clocks Delays Oscillators Synchronization Uncertainty Telecommunication Networks statistical information 4G mobile communication REG1A gene PEAK-TO-PEAK RATIO PTPRU gene Long Term Evolution queueing theory Timing devices Oscillators selection algorithm protocols Global Positioning Systems Packet Telecommunications

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What Entropy Tells About Man-Made Structures

What Entropy Tells About Man-Made Structures

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21st International Conference on Pattern Recognition (ICPR)

作者： Gao, Jiang Nokia Electr Ltd 200 South Mathilda Ave Sunnyvale CA 94086 USA

ISBN: (纸本)9784990644109;9781467322164

This paper explores the challenge of optimally categorizing regions for man-made environment. We propose using the histogram of oriented gradients (HOG) features for characterizing image regions, and propose an algorithm based on the entropy of HOG to select relevant regions. We also propose a region-sensitive feature selection algorithm for image registration. The algorithms are applied to several mobile applications, including image search and photo registration for panorama on mobile phones. We demonstrate the effectiveness of our approach by experimental results on a large dataset.

关键词： cultural landscape entropy region of an image Mobile Applications image registration Mobile phones histograms algorithms Panoramas Classification (Cognitive Process) selection algorithm

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Towards Energy Efficiency with Uplink Cooperation in Heterogeneous Networks

Towards Energy Efficiency with Uplink Cooperation in Heterog...

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IEEE Wireless Communications and Networking Conference (WCNC)

作者： Falconetti, Laetitia Yassin, Eslam Ericsson Res Ericsson Allee 1 D-52134 Aachen Germany Rhein Westfal TH Aachen Aachen Germany

ISBN: (纸本)9781479930838

Coordinated Multi-Point (CoMP) reception between base stations (BSs) has shown to be an efficient way to improve user performance in the uplink (UL). However, it comes with an increased network power consumption due to additional signal processing at the base station and information transfer on the backhaul. In this paper we analyze the impact of two LT CoMP schemes on the energy consumption of a heterogeneous network featuring fast BS sleep mode. We show that depending on the load and the UL CoMP scheme applied, a network with LT CoMP may be more energy efficient than without. We also propose a CoMP scheme selection algorithm so that the most energy efficient scheme is selected for a user during its activity time. Results show that the selection algorithm, evaluated in an ideal and a practical variant, leads to the lowest network power consumption for different traffic loads.

关键词： Long Term Evolution cochannel interference CoMP scheme selection algorithm LTE heterogeneous network UL CoMP schemes base stations coordinated multipoint reception energy efficiency scheme fast BS sleep mode uplink cooperation Base stations Energy consumption Interference Power demand Signal to noise ratio Throughput Uplink BASE STATION up link signal to noise ratios Long Term Evolution Power demand energy consumption Energy efficiency Cochannel interference Heterogeneous networks Throughput selection algorithm Power consumption interference

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