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A compiler for universal photonic quantum computers

A compiler for universal photonic quantum computers

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Quantum Computing Software (QCS), IEEE/ACM International workshop on

作者： Felix Zilk Korbinian Staudacher Tobias Guggemos Karl Fürlinger Dieter Kranzlmüller Philip Walther Christian Doppler Laboratory for Photonic Quantum Computer Faculty of Physics University of Vienna Vienna Austria MNM-Team Ludwig-Maximilians-Universität (LMU) Munich Germany MNM-Team Leibniz Supercomputing Centre (LRZ) Garching Germany

ISBN: (纸本)9781665475372

Photons are a natural resource in quantum information, and the last decade showed significant progress in high-quality single photon generation and detection. Furthermore, photonic qubits are easy to manipulate and do not require particularly strongly sealed environments, making them an appealing platform for quantum computing. With the one-way model, the vision of a universal and largescale quantum computer based on photonics becomes feasible. In one-way computing, the input state is not an initial product state $\vert\boldsymbolcomputer\rangle^{\otimes n}$ , but a socalled cluster state. A series of measurements on the cluster state's individual qubits and their temporal order, together with a feed-forward procedure, determine the quantum circuit to be executed. We propose a pipeline to convert a QASM circuit into a graph representation named measurement-graph (m-graph), that can be directly translated to hardware instructions on an optical one-way quantum computer. In addition, we optimize the graph using ZX-Calculus before evaluating the execution on an experimental discrete variable photonic platform.

关键词： Computational modeling Qubit Pipelines Optical variables measurement Hardware Software Proposals

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Image structural classification technologies based on statistical analysis of descriptions in the form of bit descriptor set 3

Image structural classification technologies based on statis...

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3rd International workshop on computer modeling and Intelligent Systems, CMIS 2020

作者： Gorokhovatskyi, Volodymyr Gadetska, Svitlana Stiahlyk, Natalia Kharkiv National University of Radio Electronics Nauka Avenue 14 Kharkiv61166 Ukraine Kharkiv National Automobile and Highway University Yaroslava Mudrogo str. 25 Kharkiv61002 Ukraine Kharkiv Educational and Research Institute of the University of Banking Peremogy Avenue 55 Kharkv61174 Ukraine

The problem of image recognition in computer vision systems is considered. We offer technologies for classifying visual objects using a statistical center based on a structural description of the image as a set of key point descriptors. The use of statistics for the bits of the description data helps to increase performance while providing sufficient classification performance. Results of experimental modeling and peculiarities of implementation of the developed approaches are discussed. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Image classification

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MS-AMLV 2019 - proceedings of the Masters Symposium on Advances in Data Mining, Machine Learning, and computer vision

MS-AMLV 2019 - Proceedings of the Masters Symposium on Advan...

引用

1st Masters Symposium on Advances in Data Mining, Machine Learning, and computer vision, MS-AMLV 2019

The proceedings contain 12 papers. The topics discussed include: 3D reconstruction of 2D sign language dictionaries;generation of memes to engage audience in social media;investigation of complex data distributions for their efficient generation;image recommendation for Wikipedia articles;toward a theoretical framework of terminological saturation for ontology learning from texts;parameterizing human speech generation;building a feature taxonomy of the terms extracted from a text collection;toward language modeling for Ukrainian language;context-based question-answering system for the Ukrainian language;topological approach to Wikipedia page recommendation;and determining sentiment and important properties of Ukrainian language user reviews.

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An application of the visualization methods for investigation small scale processes in the atmosphere-hydrosphere boundary layer within laboratory experiments on the wind-wave facilities 31

An application of the visualization methods for investigatio...

引用

31st International Conference on computer Graphics and vision, GraphiCon 2021

作者： Sergeev, Daniil Suvorov, Anatoly Kandaurov, Alexander Federal Research Center Institute of Applied Physics Russian Academy of Sciences 46 Ul'yanov Street Nizhny Novgorod603950 Russia

Hydro/aerodynamic laboratory experiment aimed at the laboratory modelling of the physical processes marine atmospheric boundary layer is one of the most complicated. Especial features as spray of droplets, the bubbles in the water and foam generated during the breaking of the waves should be taken into account when modelling extreme weather conditions caused by severe winds. Thus, in the experiment we are dealing with a multiphase turbulent flow with a free boundary. This investigation describes developing approaches to the use of optical methods based on visualization for performing these investigations. Presented results were obtained in experiments carried out on wind-wave facilities. To study the processes of fragmentation of the water surface leading to the formation of droplets and foam, high-speed multi-angle video taking is used in combination with the shadow imaging method. © 2021 Copyright for this paper by its authors.

关键词： Visualization

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Global Horizontal Irradiance modeling from Sky Images Using ResNet Architectures 16

Global Horizontal Irradiance Modeling from Sky Images Using ...

引用

16th IEEE International Conference on Industrial and Information Systems, ICIIS 2021

作者： Insaf, I.M. Wickramathilaka, H.M.K.D. Upendra, M.A.N. Godaliyadda, G.M.R.I. Ekanayake, M.P.B. Herath, H.M.V.R. Dissawa, D.M.L.H. Ekanayake, J.B. University of Peradeniya Faculty of Engineering Department of Electrical and Electronic Engineering Sri Lanka

ISBN: (纸本)9781665426374

Large scale integration of photovoltaic (PV) energy into power grids has seen an expressive growth. But PV power output variability hinders the large scale deployment of PV. Images captured from ground based sky imaging systems are commonly used in irradiance forecasting to address the intermittent energy production from solar panels. Facing that scenario, this study presents a novel approach to model the Global Horizontal Irradiance (GHI) based on contemporaneous hemispherical sky images (nowcast). A physics-based nonparametric classification model based on threshold of fractional cloudiness of sky images was utilized to classify the images into 3 sky conditions: sunny, partially cloudy and overcast. Several ResNet architectures were first examined as end-to-end models and then they were tailored to each sky-condition to create sky-condition based sub models. For each ResNet architecture, results of the end-to-end model and sky-condition specific sub models were compared. These sky-condition specific sub models were then combined to create a classification-nowcast framework. The best performing model yielded a MAE of 23.86 W/m2, nRMSE of 10.80% and reached 98.88% in Pearson's correlation on the test set. The errors were comparable to or lower than other studies despite the high fluctuations in the GHI. © 2021 IEEE.

关键词： computer vision

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Hardware-in-the-loop simulation with dynamic partial FPGA reconfiguration applied to computer vision in ROS-based UAV 31

Hardware-in-the-loop simulation with dynamic partial FPGA re...

引用

31st International workshop on Rapid System Prototyping (RSP) - Shortening the Path from Specification to Prototype

作者： Moreac, Erwan Abdali, El Mehdi Berry, Francois Heller, Dominique Diguet, Jean-Philippe Univ Bretagne Sud LAB STICC CNRS F-56100 Lorient France Univ Clermont Auvergne Inst Pascal F-63178 Aubiere France

ISBN: (纸本)9781728184661

Hardware in the loop simulation has become a fundamental tool for the safe and rapid development of embedded systems. Dynamically and partially reconfigurable FPGA provide an energy efficient solution for high performance computing in embedded systems, such as computer vision, with limited resources. Finally 3D simulation with realistic physics simulation is required by designers of Unmanned Aerial Vehicle (UAV) and related missions. The combination of the three techniques are required to design UAV with reconfigurable HW/SW embedded systems that can self-adapt to different mission phases according to environment changes. But they require different complex and specific skills from separated communities and so are not considered simultaneously. In this paper we demonstrate a complete framework that we apply to a UAV case simulated with the well adopted Gazebo 3D simulation tool including the Ardupilot model. According to usual practices in Robotics, we use Robot Operating System (ROS) middleware over Linux that we implement on a separated Intel Cyclone V FPGA board including HW/SW interfaces. As a convincing case study we implement, besides software classical navigation tasks, a vision-based emergency-landing security task and a detect and tracking classic mission application (TLD) that can run in different HW and SW versions dynamically configured on the FPGA according to mission steps simulated with Gazebo.

关键词： Embedded systems

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Dynamic Analysis of sprint burst based on coupled Fuzzy Control 4

Dynamic Analysis of sprint burst based on coupled Fuzzy Cont...

引用

2020 4th International workshop on Advanced Algorithms and Control Engineering, IWAACE 2020

作者： Tao, Wu Huali College Guangdong University of Technology Guangdong Guangzhou511325 China

The dynamic analysis of sprint burst based on coupled fuzzy control is studied. through theoretical analysis and computer vision simulation, the detailed data are obtained and applied to sprint training. computer simulation technology is used under the computer vision simulation platform, the dynamic model of sprint burst movement is analyzed, and the dynamic mathematical model of sprint explosive force joint is constructed. The limb mechanical characteristic parameters under sprint burst action are obtained. based on the coupling control method, the characteristic analysis and information parameter estimation of sprint burst dynamics are carried out. The sprint starting model and sprint model are constructed respectively. The mathematical modeling and lower extremity mechanical analysis of two sprint burst motion modes are carried out. The torque of bone and joint is calculated, and the theoretical calculation value and simulation value are obtained. Finally, the visual simulation of sprint burst mechanics is carried out with ADAMS software, and the simulation values and theoretical values of the characteristic parameters of sprint burst dynamics are obtained, and the comparative analysis is realized. Through the simulation results, the optimal power model control under sprint burst mode can be realized. The research results will provide effective theoretical guidance for sprint training, optimize the training methods and improve the training effect. © Published under licence by IOP Publishing Ltd.

关键词： Fuzzy control

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Geometric modeling of stress visualization based on the functional-voxel method 30

Geometric modeling of stress visualization based on the func...

引用

30th International Conference on computer Graphics and Machine vision, GraphiCon 2020

作者： Pushkarev, Sergey Tolok, Alexey Moscow State Technological University "STANKIN" Moscow Russia Institute of Control Sciences V.A. Trapeznikov Russian Academy of Sciences Moscow Russia

The visualization of the parameters of the stress state of a solid remains one of the parameters influencing the adoption of engineering decisions. For example, methods for determining finite elements (FEM), which make it possible to determine and visualize stress in the selected regions of the model. Applying element methods to analytically constructed models to localize the search for stress to its values at a point, however, will not lead to successful results. The paper discusses the principles of visualization of local stresses based on the functional-voxel method. The concept of a volume vector as a unit of volume distribution of a force vector in a solid isotropic medium is introduced. Geometrical foundations are proposed for computer representation of the stress unit in an isomorphic body based on a raster image. Geometric models of the stress tensor are constructed for the main site, the inclined platform. The principles of applying the functional-voxel model in the tasks of constructing complex objects are proposed. The application of the functional voxel method for discrete modeling of the deformation of a geometric object is illustrated by the example of a function that describes a rectangular plate. © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Finite element method

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Image classification based on the Kohonen network and the data space modification 3

Image classification based on the Kohonen network and the da...

引用

3rd International workshop on computer modeling and Intelligent Systems, CMIS 2020

作者： Gorokhovatskyi, Volodymyr Tvoroshenko, Iryna Kharkiv National University of Radio Electronics Nauka Ave. 14 Kharkiv61166 Ukraine

In this paper, we propose the solution of visual objects recognition in computer vision problems using the classification of descriptors of image keypoints based on the training of Kohonen neural network on the description data of etalon images. According to the results of training within the set of etalons, the image classification method has been improved by defining a specific data space in the form of a statistical center for each etalon. We propose mathematical models for the bitwise analysis of multiple descriptors searching for the centers and the method for convolution of descriptions from multiple descriptors with the determining a posteriori probabilities for the system of bit centers. Methods of data space transformation of description bits are proposed for various options for Kohonen network training, processing and estimation of class centers. The software implementation of the changed classifier was performed as well as the processing time with different options for determining the space of training data was estimated. Experimental researches confirmed the high efficiency of classification preserving sufficient performance and the ability to use proposed methods in real-time applications. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Image classification

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Cattle breed identification and live weight evaluation on the basis of machine learning and computer vision 3

Cattle breed identification and live weight evaluation on th...

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3rd International workshop on computer modeling and Intelligent Systems, CMIS 2020

作者： Rudenko, Oleg Megel, Yuriy Bezsonov, Oleksandr Rybalka, Antonina Kharkiv National University of Radio Electronics Nauky Ave. 14 Kharkiv61166 Ukraine Kharkov National Technical University of Agriculture named after P. Vasilenko Alchevskih str. 44 Kharkiv61002 Ukraine

The problem of the cow's live weight estimation is considered. A convolutional neural network based method for animal recognition and its breed identification in combination with epipolar geometry approach for object's size measurement is proposed. Information regarding animal's size and its breed is further used for LW estimation by multilayer perceptron based predictive model. This approach can be used to replace traditional methods of direct observation and measurement. The proposed system can be widely used in the management of a modern farm. Accuracy and performance of the proposed method has been tested with the participation of the experts. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Animals

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