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Passenger Payment Willingness Prediction by Static and Dynamic Multi-dimensional Ticket Attributes Fusion 27

Passenger Payment Willingness Prediction by Static and Dynam...

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27th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2021

作者： Chang, Botong Zhang, Jiahe Liu, Chi Harold Beijing Engr. Res. Center of Civil Aviation Big Data CAAC TravelSky Technology Limited Beijing China School of Comp. Sci. and Tech. Beijing Inst. of Tech. Beijing China

ISBN: (纸本)9781665408783

Ticket pricing is always a challenging problem for world-wide airline comp.nies when balancing their revenues and sales, where tickets are often discounted to adapt to a marketable price level. In this paper, we transform the problem of modeling Passenger Payment Willingness (PPW) into a top-K recommendation problem, where a list of ticket discounted ratios is recommended by fully considering ticket discount histories of peer airline comp.nies and multi-dimensional ticket attributes, i.e., passenger purchasing capability. We propose a novel deep model, called 'NCL', which integrates N-Beats, a Graph Convolutional Neural Network (GCN) and an LSTM together to model temporal variations of ticket discounts and comp.ex relationships among multi-dimensional ticket attributes. Specifically, first, the ticket discount historical sequence is integrated by N-Beats. Then, multi-dimensional ticket attributes are divided into dynamic and static categories, where an attribute graph of static attributes is constructed, and a GCN is leveraged to extract features from it. After, LSTM is used to perform temporal feature fusion on the dynamic attributes. Finally, NCL integrates features from all the above and predicts future ticket discounts. Experiments confirm that the prediction accuracy of NCL is more than 60% in terms of ACC@1. © 2021 IEEE.

关键词： Air transportation

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Cognitive-inspired Post-processing of optical character recognition for Swedish addresses 21

Cognitive-inspired Post-processing of optical character reco...

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21st IEEE International Conference on Cognitive Informatics and Cognitive comp.ting, ICCI*CC 2022

作者： Andersson, Moa Kanwal, Summrina Khan, Faiza School of Electrical Engineering and Computer Science Kth Royal Institute of Technology in Stockholm Sweden Sch. of Elec. Eng. and Comp. Sci. Kth Roy. Inst. of Technol. in Stockholm Ctr. for Appl. Intelligent Syst. Res. Halmstad Univ. Sweden Riphah International University Faculty of Computing Islamabad Pakistan

ISBN: (纸本)9781665490849

Optical character recognition (OCR) has many ap-plications, such as digitizing historical documents, automating processes, and helping visually impaired people read. However, extracting text from images into a digital format is not an easy problem to solve, and the outputs from the OCR frameworks often include errors. The comp.exity comes from the many variations in (digital) fonts, handwriting, lighting, etc. To tackle this problem, this thesis investigates two different methods for correcting the errors in OCR output. The used dataset consists of Swedish addresses. The methods are therefore applied to postal automation to investigate the usage of these methods for further automating postal work by automatically reading addresses on parcels using OCR. The first method, the lexical implementation, uses a dataset of Swedish addresses so that any valid address should be in this dataset (hence there is a known and limited vocabulary), and misspelled addresses are corrected to the address in the lexicon with the smallest Levenshtein distance. The second approach uses the same dataset, but with artificial errors, or artificial noise, added. The addresses with this artificial noise are then used together with their correct spelling to train a machine learning model based on Neural machine translation (NMT) to automatically correct errors in OCR read addresses. The results from this study could contribute by defining in what direction future work connected to OCR and postal addresses should go. The results were that the lexical implementation outperformed the NMT model. However, more experiments including real data would be required to draw definitive conclusions as to how the methods would work in real-life applications. © 2022 IEEE.

关键词： Optical character recognition

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Kubernetes Edge-Powered Vision-Based Navigation Assistance System for Robotic Vehicles

Kubernetes Edge-Powered Vision-Based Navigation Assistance S...

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International Wireless Communications and Mobile comp.ting Conference, IWCMC

作者： Jung-Syuan Tian Szu-Chieh Huang Shun-Ren Yang Phone Lin Dept. of Comp. Sci. &#x0026 Inst. of Info. Sys. and App. &#x0026 Inst. of Commun. Eng. National Tsing Hua University Hsinchu Taiwan Info. Eng. National Taiwan University Taipei Taiwan

In recent years, more and more developers have been investigating robotic vehicles. Generally, the operations of robotic vehicles rely on navigation assistance systems, which make recommendations to guide robotic vehicles step-by-step using low-cost cameras until reaching the destinations. Some developers have gradually transferred relevant comp.ting tasks of robotic vehicles without powerful comp.ting power and training models to the edge comp.ting platforms. However, none of such existing edge comp.ting based navigation assistance systems can immediately scale a sufficient number of inst.nces to adapt to the changing requested loads of robotic vehicles. In this paper, we propose a Kubernetes edge-powered vision-based navigation assistance system with a novel auto-scaling algorithm, allowing robotic vehicles to request navigation-related services. Once the requested load does not match the current load, the number of inst.nces can be auto-scaled on demand. In order to evaluate the performance of our auto-scaling algorithm, we comp.re it with two selected auto-scaling algorithms. The experiment results demonstrate that our algorithm can immediately scale up to the most appropriate number of inst.nces to reduce the latency of requests.

关键词： Wireless communication Training Navigation Scalability Robot vision systems Approximation algorithms Time factors

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Location Information Measurements Using Multiple Devices Toward Digital Transformation of Open Sky Museum

Location Information Measurements Using Multiple Devices Tow...

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IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

作者： Yasuyuki Saito Shigeki Uemura Jun Okuzumi Norihiko Suzuki Nobuyuki Umezu Dept. of Inf. Eng. Nat. Inst. of Tech. Kisarazu College Kisarazu Japan Dept. of Civil Eng. Nat. Inst. of Tech. Kisarazu College Kisarazu Japan Shibayama Ancient-tomb and Clay-image Museum Shibayama-machi Board of Education Shibayama-machi Japan N&S Support Office Kurashiki Japan Dept. of Comp. and Inf. Sci. Ibaraki University Hitachi Japan

ISBN: (数字)9798331521578

ISBN: (纸本)9798331521585

The purpose of this study is to comp.re the results of measuring location information using multiple devices. In the Open Sky Museum for digital transformation, accurate location information is necessary for presenting information on a terminal. We comp.re the location information obtained by receiving the quasi-zenith satellite system (QZSS) L6 correction signal with the Google API on Android tablets that we have used in our previous study. We demonstrate that the location information can be obtained stably using the QZSS L6 signal, and examine the measurement error using multiple Android devices of the same model.

关键词： Solid modeling Visualization Measurement errors Fluctuations Accuracy Satellites Digital transformation Virtual reality Museums Smart phones

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The Coronavirus Pandemic and the Transformation of Telehealth in the Context of Artificial Intelligence

The Coronavirus Pandemic and the Transformation of Telehealt...

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2022 International Conference on Smart Generation comp.ting, Communication and Networking, SMART GENCON 2022

作者： Kumar, Neelam Sanjeev Chandrasekaran, Gokul Priyadarshi, Neeraj Mahajan, Tanuja Kumar, Niraj Saveetha Inst. of Medical and Tech. Sci. Saveetha University Dept. of Biomedical Engg. Chennai India Velalar College of Engg. and Tech. Anna University Dept. of Electrical and Electronics Engg. Chennai India Jis College of Engineering Dept. of Electrical Engg. Kolkata India School of Info. Tech. and Engg. Vellore Inst. of Tech. Dept. of Comp. and Comm. Engg. Vellore India Uttaranchal University Div. of Research and Inno. Uttarkhand Dehradun India

ISBN: (纸本)9781665454995

The pandemic is seriously affecting individuals' wellbeing, occupations, economies, and practices. This pandemic has shaken the world dramatically and framed a moment to think about the future, incorporating our relationship with nature. Since the COVID-19 pandemic started, it's been relied upon to drive remarkable development in telehealth, especially for demonstrative patients, to stay at home and talk with specialists through virtual stations, helping with diminishing the spread of the disease to mass and the clinical staff on the ground zero. The novel coronavirus epidemic has changed our way of living, society, and human services framework. This study proposed the application of artificial intelligence to make its classification. The outcomes of the proposed systems are equated with pre-existing algorithms to highlight the benefits of test time minimization and classification error. Furthermore, this study tries to analyse corona time series data on the level of classification and found that the decision tree algorithm gives the best accuracy of approx. 100% with zero error and zero standard deviation with 7098 milliseconds. © 2022 IEEE.

关键词： Coronavirus

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Eigenfrequencies in Microwave Spheroidal Cavities by an Accurate Numerical Approach

Eigenfrequencies in Microwave Spheroidal Cavities by an Accu...

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International Conference on Microwaves, Radar and Wireless Communications

作者： Oleksiy A. Breslavets Zoya E. Eremenko Igor M. Volovichev Grigorios P. Zouros Nat. Acad. of Sci. of Ukraine O. Ya. Usikov Inst. for Rad. & Electr. Kharkiv Ukraine School of Electrical & Comp. Eng. Nat. Tech. Univ. of Athens Athens Greece

ISBN: (数字)9788395602030

ISBN: (纸本)9781665411066

We have developed an accurate numerical approach in spherical coordinates for solving electrodynamic tasks such as eigenfrequencies extraction in electromagnetic spheroidal cavities. The main feature of our method is its ability to satisfy the boundary conditions at individual points on a cavity’s perfect electric conductor (PEC) interface. In the present study, we carry out a numerical study to comp.te the eigenfrequencies in both prolate and oblate type cavities with small aspect ratios. We have comp.red our results with other techniques and an excellent agreement has been obtained.

关键词： Electrodynamics Radar Microwave theory and techniques Boundary conditions Feature extraction Conductors Task analysis

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Eigenfrequencies in Microwave Eccentric Spherical Cavities by a Local Point-based Boundary Conditions Method

Eigenfrequencies in Microwave Eccentric Spherical Cavities b...

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Ukrainian Microwave Week (UkrMW), IEEE

作者： Igor M. Volovichev Oleksiy A. Breslavets Zoya E. Eremenko Grigorios P. Zouros O. Ya. Usikov Inst. for Rad. & Electr. Nat. Acad. of Sci. of Ukraine Kharkiv Ukraine School of Electrical & Comp. Eng. Nat. Tech. Univ. of Athens Athens Greece

ISBN: (纸本)9798350331530

We have developed a method for solving the electrodynamic problem for a perfect electric conducting spherical cavity in which a spherical dielectric inhomogeneity is randomly located with respect to the center of the structure. No limitations on the size or on the relative position of the inner dielectric sphere are imposed. The electromagnetic field is appropriately expanded in terms of Hertz potentials. One of features of the method is the ability to satisfy the boundary conditions at the interface between the two media, as well as on the outer metallic spherical surface, at individual points located on these boundaries. In this case, there is no need to integrate and formulate boundary conditions for each basic mode, as it is usually done by classical methods for solving electrodynamic problems in the frequency domain. In the present contribution, we carry out a numerical study to comp.te the eigenfrequencies in such eccentric configurations. For this purpose, we extract the eigenfrequencies for quasi-TE and quasi-TM modes, and comp.re the results with an analytical technique. In addition, we validate the results and comp.re the comp.tational efficiency of our method with HFSS commercial software. Our method turns out to be efficient in terms of CPU time with minimal memory consumption, as comp.red to the commercial solver.

关键词： Electrodynamics Electric potential Nonuniform electric fields Shape Perturbation methods Boundary conditions Microwave theory and techniques

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Application of Grey Correlation Method in Electronic Information Equipment Evaluation 4

Application of Grey Correlation Method in Electronic Informa...

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4th World Conference on Mechanical Engineering and Intelligent Manufacturing, WCMEIM 2021

作者： Wei, Haomin Wang, Ruihua Guo, Zhangxia Yang, Zhou Wang, Jiajia North University of China College of Mechatronic Engineering Taiyuan China PLA Academy of Military Science Beijing China China Aerosp. Sci. and Indust. Corp. Appl. Math. Res. Ctr. Beijing Jinghang Res. Inst. of Comp. and Commun. Innovation Center for Intelligent System on Recognition and Decision Beijing China

ISBN: (纸本)9781665421720

The experiment and evaluation of the performance of electronic information equipment require a reasonable quantitative evaluation method. In this paper, the theory of the gray correlation method is described and applied to the performance evaluation of electronic information equipment. This paper screens seven performance indicators of electronic information equipment, quantify the subjective assessments on the indicators by the AHP method, and assigns weights to the indicators. The gray correlation method is adopted to calculate and evaluate four sets of electronic information equipment performance data and derive the performance evaluation results of the equipment, proving the feasibility of the method in the field of electronic information equipment performance experiments and evaluations. © 2021 IEEE.

关键词： Hierarchical systems

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Determination of thermally stressed state of rod elements of variable cross section under the impact of a lateral heat flow, heat exchange and surface thermal insulation

Determination of thermally stressed state of rod elements of...

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2020 Rudenko International Conference on Methodological Problems in Reliability Study of Large Energy Systems, RSES 2020

作者： Akhmetov, Sayranbek Kudaykulov, Anarbay Bizhano, Dossan Atyrau University of Oil and Gas Named after Safi Utebayeva Atyrau Kazakhstan Inst. of Info. and Comp. Technol. of the Sci. Comm. of the Min. of Educ. and Sci. of the Rep. of Kazakhstan Almaty Kazakhstan JSC 'Financial Academy' Nur-Sultan Kazakhstan

A horizontal bar of limited length is considered. The radius of the bar changes linearly along its length. The cross-sectional area of the left end is larger than the right. The lateral surface of the investigated rod is comp.etely insulated. The heat flux is applied to the cross-sectional area of the left end. Heat exchange with the environment takes place through the cross-sectional area of the right end of the rod. The work determines the field of temperature distribution, displacement, three comp.nents of deformation and stress, provided that both ends of the rod are rigidly fixed. The amount of bar elongation is also determined when one end of the bar is fixed and the other is free. In case when the two ends of the bar are fixed, the value of the resulting axial comp.essive force is calculated. In this study the fundamental laws of conservation of energy were used. © The Authors, published by EDP sci.nces, 2020.

关键词： Deformation

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A Carrier Frequency Offset based Key Masking Scheme for Physical-Layer Authentication in Spatially Correlated Channels

A Carrier Frequency Offset based Key Masking Scheme for Phys...

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International Conference on Information and Communication Technology Convergence (ICTC)

作者： Seungnam Han Yonggu Lee Euiseok Hwang School of Elect. Eng. & Comp. Sci. Gwangju Inst. Sci. & Tech. Gwangju South Korea

ISBN: (数字)9781728167589

ISBN: (纸本)9781728199016

In this paper, we propose a key masking scheme using carrier frequency offsets for physical-layer challenge-response authentication mechanism (C-PHY-CRAM) which prevents eavesdropper from exploiting a secret key with correlated channels in multicarrier systems. In the conventional PHY-CRAM method, if an eavesdropper is close to a legitimate user, a secret key can be exposed to the eavesdropper since two channels to mask the secret key can be strongly correlated. To avoid the potential leakage of the key, CFO induced by the local osci.lator difference between transceivers is employed as an extra attribute to encapsulate a secret key in the proposed C-PHY-CRAM. Through channel simulations, we demonstrate that the proposed scheme outperforms conventional PHY-CRAM and its alternative for correlated channel environments.

关键词： Local osci.lators Sensitivity Simulation Authentication Transceivers Information and communication technology Software radio

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