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检索条件"任意字段=Conference on Advances in Optical Data Storage Technology"

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Super-resolution technology to simultaneously improve optical & digital resolution of optical coherence tomography via deep learning

Super-resolution technology to simultaneously improve optica...

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Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Shengting Cao Xinwen Yao Nischal Koirala Brigitta Brott Silvio Litovsky Yuye Ling Yu Gan Electrical and Computer Engineering The University of Alabama Tuscaloosa USA Institute for Health Technologies Nanyang Technological University Singapore School of Medicine The University of Alabama at Birmingham Birmingham USA John Hopcroft Center for Computer Science Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

optical coherence tomography (OCT) has stimulated a wide range of medical image-based diagnosis and treatment. In cardiac imaging, OCT has been used in assessing plaques before and after stenting. While needed in many scenarios, high resolution comes at the costs of demanding optical design and data storage/transmission. In OCT, there are two types of resolutions to characterize image quality: optical and digital resolutions. Although multiple existing works have heavily emphasized on improving the digital resolution, the studies on improving optical resolution or both resolutions remain scarce. In this paper, we focus on improving both resolutions. In particular, we investigate a deep learning method to address the problem of generating a high-resolution (HR) OCT image from a low optical and low digital resolution (L 2 R) image. To this end, we have modified the existing super-resolution generative adversarial network (SR-GAN) for OCT image reconstruction. Experimental results from the human coronary OCT images have demonstrated that the reconstructed images from highly compressed data could achieve high structural similarity and accuracy in comparison with the HR images. Besides, our method has obtained better denoising performance than the block-matching and 3D filtering (BM3D) and Denoising Convolutional Neural Networks (DnCNN) denoising method.

关键词： optical imaging Spatial resolution Image reconstruction Biomedical optical imaging Noise reduction Signal resolution

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An exploratory survey on the use of computation in undergraduate engineering education

An exploratory survey on the use of computation in undergrad...

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Frontiers in Education (FIE) conference

作者： Alejandra J. Magana Camilo Vieira Francesca G. Polo Junchao Yan Xin Sun Purdue University: Computer and Information Technology West Lafayette IN U.S.A. Engineering Education West Lafayette IN U.S.A. Statistics West Lafayette IN U.S.A.

advances in computing contribute to science and engineering discovery, innovation, and education by facilitating representations, processing, storage, analysis, simulation, and visualization of unprecedented amounts of experimental and observational data to address problems that affect health, energy, environment, security, and quality of life. In spite of the emerging importance of the role of computing in engineering, a well-recognized shortage of scientists and engineers who are adequately prepared to take advantage of, or contribute to, such highly interdisciplinary, highly computational scientific challenges is evident. This exploratory study identifies how computation is integrated in the engineering disciplines at the undergraduate level. The research question is: How engineering professors integrate computation as part of their disciplinary undergraduate courses? This study reports anonymous survey responses of thirty-nine engineering and engineering technology faculty members who identified themselves as integrating computation as part of their undergraduate courses. Results indicate that most of the faculty members used computation for the solution of complex calculations, for conducting simulations, and for design purposes. Further research is required in order to identify and validate appropriated pedagogical practices to integrate computation as part of disciplinary courses.

关键词： Computational modeling Education Mathematical model data models Predictive models Context MATLAB

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Carbon Emission Prediction on the Power Generation Side Based on the CNN-LSTM Model

Carbon Emission Prediction on the Power Generation Side Base...

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Clean Energy storage and Power Engineering (CESPE), International conference on

作者： Yuanmei Zhang Huixu Xiao Minglei Jiang Weiguo Hu Power Economic Research Institute Jilin Electric Power Co.Ltd. Changchun China State Grid Jilin Electric Power Co. Ltd. Changchun China

ISBN: (数字)9798331511708

ISBN: (纸本)9798331511715

As computer technology advances at a breakneck pace, its applications are becoming more and more prevalent in diverse fields. Particularly in addressing global environmental issues, computer modeling and data analysis techniques provide robust support for accurate predictions and decision-making. To address a series of issues related to global warming caused by greenhouse gases, China has proposed the “dual carbon” goals to achieve carbon emission reductions across various industries. As the single industry with the highest proportion of carbon emissions in China, the carbon reduction process of the power industry will directly affect the further realization of the “dual carbon” goals. This paper analyzes and selects the main factors affecting carbon emissions based on the carbon emission data of the power industry in a certain area from 1995 to 2022. Subsequently, it constructs a Convolutional Neural NetworksLong Short-Term Memory (CNN-LSTM) model and a STIRPAT model. By comparing the fitting degree R2 and the Mean Absolute Percentage Error (MAPE), the model with higher precision is selected for scenario prediction, resulting in forecasts of future carbon emissions from the power generation side under different scenarios.

关键词： Economics Power engineering Power supplies Carbon dioxide Predictive models Wind power generation Power industry data models Trajectory Convolutional neural networks Long short term memory Climate change

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Analysis of electron behaviour in polymeric films during electronic irradiation

Analysis of electron behaviour in polymeric films during ele...

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conference on Electrical Insulation and Dielectric Phenomena, (CEIDP)

作者： V. Griseri C. Perrin K. Fukunaga T. Maeno D. Payan L. Levy C. Laurent Laboratoire de Génie Electrique de Toulouse Toulouse France Toulouse France National Institute of Information and Communications Technology Koganei Tokyo Japan Office National d'Etudes Spatiales Toulouse France

Charges can appear on spacecraft surface via various processes including conduction, irradiation, ionisation and polarisation. The accumulation of charges can leads to the creation of an electric field that eventually prevents further charge storage. However, a spacecraft can only tolerate a limited range of electric potential and currents. In the present case, we are studying the electron behaviour in polymeric films such as Teflon/spl reg/ during electronic irradiation. This material is currently used in the space industry. Our aim is to get a better understanding on charge storage, conduction and relaxation during irradiation and also during the relaxation taking especially into account the effect of the electron beam energy, the irradiation time and the flux density. Results obtained from pulsed electro-acoustic, surface current and surface potential data are analysed and compared with theoretical data.

关键词： Polymer films Electrons Aerospace electronics Space vehicles Ionization optical polarization Aircraft manufacture Electric potential Conducting materials Aerospace industry

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Performance analysis of the collision avoidance procedure of the advanced infrared (AIr) CSMA/CA protocol for wireless LANs

Performance analysis of the collision avoidance procedure of...

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IEEE conference on Vehicular technology (VTC)

作者： V. Vitsas A.C. Boucouvalas Multimedia Communications Research Group School of Design Engineering and Computing Boumemouth University Poole Dorset UK

The Infrared data Association (IrDA) advanced infrared (AIr) protocol for indoor optical wireless LAN is examined. AIr medium access control (MAC) layer utilizes a carrier sense multiple access with collision avoidance (CSMA/CA) scheme to coordinate medium access. To deal with hidden stations, AIr employs a request to send/clear to send (RTS/CTS) reservation scheme and a long collision avoidance slot (CAS) duration that includes the beginning of the receiver's CTS packet. AIr employs linear adjustment of the contention window (CW) size to minimize delays emerging from the long CAS duration. This paper develops an analytical model for the collision avoidance scheme of the AIr protocol that computes throughput performance assuming error free transmissions and a fixed number of stations. The model is validated by comparing analysis with simulation results. By differentiating the throughput equation, the optimum CW size that maximises throughput as a function of the number of the transmitting stations is derived. In the case of the AIr protocol where a collision lasts exactly one CAS, different conclusions result for maximum throughput as compared with the corresponding conclusions for the similar IEEE 802.11 protocol. By employing the analytical model, throughput performance for various parameter values is evaluated. The proposed linear CW adjustment is very effective in minimizing delays emerging from empty slots and collisions during the contention period. Linear CW adjustment combined with the long CAS duration provides an effective protection from collisions caused by hidden stations and offers an attractive collision avoidance scheme.

关键词： Performance analysis Collision avoidance Multiaccess communication Wireless application protocol Wireless LAN Throughput Content addressable storage Analytical models Access protocols optical receivers

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advances in Conceptual Modeling – Challenges and Opportunities 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Il-Yeol Song Mario Piattini Yi-Ping Phoebe Chen Sven Hartmann Fabio Grandi Juan Trujillo Andreas L. Opdahl Fernando Ferri Patrizia Grifoni Maria Chiara Caschera Colette Rolland Carson Woo Camille Salinesi Esteban Zimányi Christophe Claramunt Flavius Frasincar Geert-Jan Houben Philippe Thiran

ISBN: (数字)9783540879916

ISBN: (纸本)9783540879909

This book constitutes the refereed joint proceedings of seven international workshops held in conjunction with the 27th International conference on Conceptual Modeling, ER 2008, in Barcelona, Spain, in October 2008. The 42 revised full papers presented were carefully reviewed and selected from 108 submissions. Topics addressed by the workshops are conceptual modeling for life sciences applications (CMLSA 2008), evolution and change in data management (ECDM 2008), foundations and practices of UML (FP-UML 2008), modeling mobile applications and services (M2AS 2008), requirements, intentions and goals in conceptual modeling (RIGiM 2008), semantic and conceptual issues in geographic information systems (SeCoGIS 2008), and Web information systems modeling (WISM 2008).

关键词： Information Systems Applications (incl. Internet) database Management Information storage and Retrieval User Interfaces and Human Computer Interaction Artificial Intelligence Computational Biology/Bioinformatics

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High-speed magnetic imaging

High-speed magnetic imaging

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International conference on Quantum Electronics (IQEC)

作者： M.R. Freeman G.E. Ballentine W.K. Hiebert A. Stankiewicz University of Alberta Edmonton AB CA

Summary form only given. The dynamics of the magnetization in small ferromagnetic structures is a topic of considerable current interest. The timing of this interest is largely attributable to rapid advances in magnetic recording technology, for which such dynamics will dictate the ultimate limits in speed and storage density. High-speed magneto-optic imaging is now being used in an effort to gain new insight into micromagnetic dynamics. The technique is directly analogous to electro-optic sampling of electronic systems. In magneto-optic sampling, magnetic transients are measured via small changes in the plane of polarization of linearly polarized light upon reflection from, or transmission through a sample, the Kerr and Faraday effects, respectively.) Ultrafast measurements with good signal-to-noise are obtained in pump-probe experiments in which the magnetic dynamics are driven using photoconductively switched electromagnetic circuits.

关键词： Magnetooptic effects Magnetooptic recording Sampling methods Electromagnetic measurements optical polarization Electromagnetic wave polarization Magnetization Timing Magnetic recording Micromagnetics

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ArrowSAM: In-Memory Genomics data Processing Using Apache Arrow

ArrowSAM: In-Memory Genomics Data Processing Using Apache Ar...

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International conference on Computer Applications & Information Security (ICCAIS)

作者： Tanveer Ahmad Nauman Ahmed Johan Peltenburg Zaid Al-Ars Accelerated Big Data Systems Delft University of Technology Delft Netherlands

ISBN: (数字)9781728142135

ISBN: (纸本)9781728142142

The rapidly growing size of genomics data bases, driven by advances in sequencing technologies, demands fast and cost-effective processing. However, processing this data creates many challenges, particularly in selecting appropriate algorithms and computing platforms. Computing systems need data closer to the processor for fast processing. Traditionally, due to cost, volatility and other physical constraints of DRAM, it was not feasible to place large amounts of working data sets in memory. However, new emerging storage class memories allow storing and processing big data closer to the processor. In this work, we show how the commonly used genomics data format, Sequence Alignment/Map (SAM), can be presented in the Apache Arrow in-memory data representation to benefit of in-memory processing and to ensure better scalability through shared memory objects, by avoiding large (de)-serialization overheads in cross-language interoperability. To demonstrate the benefits of such a system, we propose ArrowSAM, an in-memory SAM format that uses the Apache Arrow framework, and integrate it into genome pre-processing pipelines including BWA-MEM, Picard and Sambamba. Results show 15x and 2.4x speedups as compared to Picard and Sambamba, respectively. The code and scripts for running all workflows are freely available at https://***/abs-tudelft/ArrowSAM.

关键词： Genomics Bioinformatics Tools Plasmas Biological cells Big data Sequential analysis

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advances in research on crop identification using SAR

Advances in research on crop identification using SAR

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International conference on Agro-Geoinformatics

作者： Di Wang Qingbo Zhou Yan Su Zhongxin Chen Key Laboratory of Agri-informatics Ministry of Agriculture Institute of Agriculture Resources and Regional Planning Chinese Academy of Agriculture Sciences China Remote Sensing Center of Agricultural and Pastoral Office Qinghai China

Accurate crop identification can achieve a good estimation for crop sown acreage, planting structure and spatial distribution, as well as provide key input parameters for crop yield estimation model. Due to that crop acreage information is the important basis for making national food policy and economy plan, therefore, it is very important that conduct the study on crop identification. In view of the advantages of high temporal resolution, wide coverage and low cost, remote sensing has been used in a wide arrange of earth observation activities and thus provides a useful tool for crop recognition and planting acreage monitoring at a large scale. Since the 1980's, optical remote sensing has been widely used to identify various crops, however, optical images are not often available in the key growth period of crops, owing to the cloudy and rainy weather. Thus, it has a negative effect on the accuracy and timeliness of crop area monitoring. As a new high-technology with an advantage of all-weather, all-time, high resolution and wide coverage, synthetic aperture radar (SAR) has been widely applied in agricultural condition monitoring field and thus provides a strong complement and support for crop identification in data and technology aspect. As the updating and improvement of function parameters and performance index of radar sensors, it has been an important field of agriculture remote sensing that getting the information of crop sown acreage, growing condition and yield by SAR. In this paper, according to a mainline that the development progress of radar technology in the recent twenty years, the progress of studies and applications on crop discrimination by SAR is systematically summarized, and the conclusion includes 4 aspects: the first is early studies (from the late 1980's to 2002), are characterized by using single band, single polarization and multi-temporal SAR data for crop identification; The second is crop acreage monitoring based on multi-polarization, mu

关键词： Agriculture Synthetic aperture radar Remote sensing Classification algorithms Monitoring Accuracy

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Tight focusing of amplitude modulated HyGG type — II beam using high NA lens axicon

Tight focusing of amplitude modulated HyGG type — II beam u...

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International conference on Fiber Optics and Photonics (PHOTONICS)

作者： P. Suresh K.B. Rajesh T.V.S. Pillai Department of ECE National college of Engineering Maruthakulam Tirunelveli Tamilnadu - 627151. India Department of Physics Chikkanna Government Arts College Tirupur Tamil Nadu India University departments Anna University of Technology Tirunelveli Tamil Nadu India

The focal field of high NA lens axicon with an amplitude modulated optical component is calculated by using vector diffraction theory. Numerical results show that for a radially polarized Hypergeometric-Gaussian type-II input field, the proposed system generates subwavelength focal spot size (0.386 λ) with a uniform depth of Focus (14.38 λ). We expect such a beam with small spot size and long depth of focus can be widely used in application such as data storage, biomedical imaging, laser drilling, and machining.

关键词： Diffraction theory Electric fields Gaussian beams Laser drilling Medical imaging Near field scanning optical microscopy Apodization (220.1230) Polarization (260.5430)

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