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作者： Hoang, Anh Tuan Csempesz, János Cserteg, Tamás Viharos, Zsolt János HUN-REN Institute for Computer Science and Control (SZATKI) Center of Excellence in Production Informatics and Control (EPIC) Center of Excellence of the Hungarian Academy of Sciences (MTA) Budapest Hungary Faculty of Economics and Business John von Neumann University Kecskemét Hungary Doctoral School of Informatics ELTE Eötvös Loránd University Budapest H-1117 Hungary

Collaborative robots, or cobots, have emerged as vital assets in numerous industries, reshaping operational paradigms and fostering human-machine collaboration. This paper introduces Piktor-o-bot, a Universal Robots 5 series portrait drawing robot, which integrates advanced image processing algorithms with collaborative robotic functionalities to streamline and enhance portrait creation. By utilizing neural networks for human face detection, background removal, edge detection, semantic segmentation, clothes segmentation, and eye detection, Piktor-o-bot aims to achieve lifelike depictions efficiently. The proposed system integrates these specialized neural networks, innovative algorithms, and collaborative robotic capabilities to offer a promising and optimized solution. The individual components and their interactions contribute to the overall success of the Pictor-o-bot system, as demonstrated by its performance at several exhibitions. © 2024

关键词： Edge detection Face detection Face segmentation Image processing and diagnostics Neural network Robot application Robot movement optimization

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An e-Business Services Composition Framework 14

An e-Business Services Composition Framework

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14th International Conference on Communications, COMM 2022

作者： Pop, Eugen Gifu, Daniela University 'Politehnica' of Bucharest R&d Institute for Automation-IPA Sa Faculty of Automatic Control and Computers Automatics and Industrial Informatics Department Bucharest Romania Institute of Computer Science Romanian Academy Iasi Branch Faculty of Computer Science of Alexandru Ioan Cuza University of Iasi Iasi Romania

ISBN: (纸本)9781665494854

E-business offers to economic agents the opportunity to increase the efficiency of their activity, promote and offer their products and services on a large and diversified market. Often a single service, separately, does not meet all the needs of various categories and groups of customers. In such a situation, service composition can provide more technical, commercial, informational facilities than each separate component service can offer. There are many web-based frameworks used for e-business, but still with limitations. The paper presents a Services Composition Framework and a wise algorithm for e-business models, based on REST and SOAP web services. It is intended to be used for the development of e-business models, comprising stock market exchange, e-commerce, e-banking, etc. The customers can access the framework services, through Smartphones, on mobile and wireless communication channels. Within a Quality-of-Service performance analysis of the e-business Service Composition Framework, the response time and throughput for multiuser access simultaneous requests were evaluated. A stock market exchange service is considered, as an e-business service example, while Bucharest Stock Exchange information is the digital content source for data transactions. © 2022 IEEE.

关键词： Web services

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Empirical verification of the suggested hyperparameters for data augmentation using the *** library 30

Empirical verification of the suggested hyperparameters for ...

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30th International Conference in Central Europe on computer Graphics, Visualization and computer Vision, WSCG 2022

作者： Oronowicz-Jaśkowiak, Wojciech Wasilewski, Piotr Kowaluk, Miroslaw Faculty of Computer Science The Polish-Japanese Academy of Information Technology Koszykowa 86 Warsaw02-008 Poland Faculty of Mathematics Informatics and Mechanics The University of Warsaw Banacha 2 Warsaw02-008 Poland

ISBN: (纸本)9788086943336

Data augmentation consists in adding slightly modified copies of the existing data to the training set, which increases the total amount of data and generally results in better results obtained by machine learning algorithms. The *** library has some predefined values for data augmentation hyperparameters for visual data. It is claimed that these predefined parameters are to be the best for most data types, however, no empirical support for this statement has been provided. The aim of this research is to determine whether the suggested hyperparameter values for data augmentation in the *** library are indeed optimal for the highest accuracy for image classification tasks. In order to answer this question, a detailed research was conducted, consisting of a series of experiments for subsequent data augmentation tools (rotation, magnification, contrast change, etc.). Three variables were modified for each tool: 1. maximal and minimal value of transformation (depending on the transformation type), 2. probability of the transformation, 3. padding behaviour. The results of the presented research lead to the conclusion that the suggested values of data augmentation implemented in the *** library provides the good parameters of the model aimed at differentiating male and female faces, however in case of that classification slightly different parameters could be taken into consideration. The results are published in open-source repository. © 2022 University of West Bohemia. All rights reserved.

关键词： computer vision

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On the Optimization of User Allocation in Heterogeneous 5G Networks Using DUDe Techniques

On the Optimization of User Allocation in Heterogeneous 5G N...

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International Conference on Ubiquitous and Future Networks, ICUFN

作者： Konstantinos Tsachrelias Apostolos Gkamas Chrysostomos-Athanasios Katsigiannis Christos Bouras Vasileios Kokkinos Philippos Pouyioutas Computer Engineering and Informatics Department University of Patras Patras Greece University Ecclesiastical Academy of Athens Athens Greece Computer Science Department University of Nicosia Nicosia Cyprus

In previous years, 3G and 4G cellular homogeneous networks configured with macro Base Stations (BSs) relied only on the downlink signal, even though transmission power and interference levels differ significantly between uplink and downlink. In 5G Heterogeneous Networks (HetNet), a new generation which have multiple BSs of different types such as Femto BS and Macro BS, there is the possibility of choosing to receive the data from one BS and transmit them to a different BS, and therefore decoupling the uplink and downlink. Especially, the increasing demand for faster, more reliable, and efficient connectivity has made the optimization of User Equipment (UE) allocation in 5G networks a crucial task. To tackle the challenges posed by heterogeneous 5G networks, this study compares and evaluates the performance of Downlink/Uplink Decoupling (DUDe) and traditional Downlink/Uplink Coupled (DUCo) user allocation approaches. Simulation results show that DUDe UE allocation outperforms DUCo by providing improved network performance and more efficient utilization of network resources in diverse network conditions. These findings have important implications for the design and optimization of 5G networks and provide valuable insights for researchers and practitioners in the field.

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A GI|G|1| System with Service Device Vacations

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Moscow University Computational Mathematics and Cybernetics 2023年第4期46卷 215-221页

作者： Naumenko, M. A. Ushakov, V. G. Faculty of Computational Mathematics and Cybernetics Moscow State University Moscow Russia Institute of Informatics Problems Federal Research Center of Computer Science and Control Russian Academy of Sciences Moscow Russia

The authors study a single-channel queuing system with an infinite number of waiting places, a recurrent incoming flow, and a vacation of the service device when the system is released. Vacation times and durations have arbitrary absolutely continuous distributions. A non-stationary distribution of the number of requirements in the system is found.

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A Revisit of Shape Editing Techniques:From the Geometric to the Neural Viewpoint

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Journal of computer science & Technology 2021年第3期36卷 520-554页

作者： Yu-Jie Yuan Yu-Kun Lai Tong Wu Lin Gao Ligang Liu Beijing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China School of Computer Science and Informatics Cardiff UniversityCardiff CF243AAU.K. School of Mathematical Sciences University of Science and Technology of ChinaHefei 230026China

3D shape editing is widely used in a range of applications such as movie production,computer games and computer aided *** is also a popular research topic in computer graphics and computer *** past decades,researchers have developed a series of editing methods to make the editing process faster,more robust,and more ***,the deformed shape is determined by the optimal transformation and weights for an energy *** increasing availability of 3D shapes on the Internet,data-driven methods were proposed to improve the editing *** recently as the deep neural networks became popular,many deep learning based editing methods have been developed in this field,which are naturally *** mainly survey recent research studies from the geometric viewpoint to those emerging neural deformation techniques and categorize them into organic shape editing methods and man-made model editing *** traditional methods and recent neural network based methods are reviewed.

关键词： mesh deformation man-made model editing deformation representation optimization deep learning

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Unmanned Aircraft Systems in Logistics Processes with Network Management

Unmanned Aircraft Systems in Logistics Processes with Networ...

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Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)

作者： S. V. Kozlov A. N. Kubankov A. P. Shabanov Federal Research Center “Computer Science and Control” Russian Academy of Sciences Moscow Russia Moscow Technical University of Communications and Informatics Moscow Russia

A study is being conducted on the use of network management technologies and semantic databases in innovative solutions for logistics processes using unmanned aircraft systems when transporting products of technical systems that require repair, maintenance, modernization or implementation of innovative solutions. The main sources for the research are identified innovative solutions presented in the materials of scientific articles and in the descriptions of intellectual property objects – inventions, computer programs and databases created using these technologies. The task of creating an innovative scientific and technical solution has been set and is being solved, which allows automatically, until the moment the aircraft enters the zone subject to the negative influence of counteracting processes, including strong additive interference and multiplicative disturbances, to prevent a violation of the stability of the flight control of this vessel. The scientific result of the research is the novel dynamic functional model of the flight control process of an unmanned aircraft in a network of logistics routes. The main effect of the application of the novel model is to ensure the continuity of aircraft flight control in conditions of counteracting processes with the prospect of ensuring their autonomous flight.

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Quantum Approximate k-Minimum Finding

arXiv

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arXiv 2024年

作者： Gao, Minbo Ji, Zhengfeng Wang, Qisheng Institute of Software Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Department of Computer Science and Technology Tsinghua University Beijing China School of Informatics University of Edinburgh Edinburgh United Kingdom

Quantum k-minimum finding is a fundamental subroutine with numerous applications in combinatorial problems and machine learning. Previous approaches typically assume oracle access to exact function values, making it challenging to integrate this subroutine with other quantum algorithms. In this paper, we propose an (almost) optimal quantum k-minimum finding algorithm that works with approximate values for all k ≥ 1, extending a result of van Apeldoorn, Gilyén, Gribling, and de Wolf (FOCS 2017) for k = 1. As practical applications of this algorithm, we present efficient quantum algorithms for identifying the k smallest expectation values among multiple observables and for determining the k lowest ground state energies of a Hamiltonian with a known eigenbasis. Copyright © 2024, The Authors. All rights reserved.

关键词： Hamiltonians

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A survey on deep geometry learning:From a representation perspective

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Computational Visual Media 2020年第2期6卷 113-133页

作者： Yun-Peng Xiao Yu-Kun Lai Fang-Lue Zhang Chunpeng Li Lin Gao Institute of Computing Technology Chinese Academy of SciencesBeijingChina School of Computer Science and Informatics Cardiff UniversityWalesUK School of Engineering and Computer Science Victoria University of WellingtonWellingtonNew Zealand

Researchers have achieved great success in dealing with 2 D images using deep *** recent years,3 D computer vision and geometry deep learning have gained ever more *** advanced techniques for 3 D shapes have been proposed for different *** 2 D images,which can be uniformly represented by a regular grid of pixels,3 D shapes have various representations,such as depth images,multi-view images,voxels,point clouds,meshes,implicit surfaces,*** performance achieved in different applications largely depends on the representation used,and there is no unique representation that works well for all ***,in this survey,we review recent developments in deep learning for 3 D geometry from a representation perspective,summarizing the advantages and disadvantages of different representations for different *** also present existing datasets in these representations and further discuss future research directions.

关键词： 3D shape representation geometry learning neural networks computer graphics

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Systematization and Synchronization of Target Processes in Organizational Systems

Systematization and Synchronization of Target Processes in O...

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Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)

作者： S. V. Kozlov A. N. Kubankov Russian Academy of Sciences Federal Research Center “Computer Science and Control” Moscow Russia Moscow Technical University of Communications and Informatics Moscow Russia

The problem of synchronization of heterogeneous processes in organizational systems is considered against the background of the transition of systems from a tectocentric to a holistic paradigm of their development. The process basis for the presentation of organizational systems in the conditions of “blurring” of their boundaries, taking into account the transition to a holistic paradigm, becomes a new basis for the development of organizational, system-technical and technological solutions for the creation and development of the material basis of organizational systems. The role and place of the process system in substantiating the directions of implementation of the strategy for the development of organizational systems and determining the overall structure of the material and technical basis of organizational systems is shown. The systematization and classification of heterogeneous processes in the life cycle of organizational systems is presented, the subject and objects of synchronization, the necessary and sufficient conditions for its implementation in organizational systems are determined. It is shown that synchronization at the process level in organizational systems should be carried out at the level of such attributes of related processes as outputs and inputs of processes, control actions and the necessary resources for the implementation of processes.

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