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automation of the lamination process for automotive applications

IOP Conference Series: Materials Science and engineering 2019年第1期591卷

作者： L Popa V Popa Transilvania University Faculty of Electrical Engineering and Computer Science Department of Automation and Information Technologies Mihai Viteazul No.5 500036 Brasov Romania National Defence University Department of Defence Resources Management Studies Mihai Viteazul No. 160 500183 Brasov Romania

The article addresses the design of an automation system for the lamination process of the cars, which has as inputs different types of transducers, and as outputs the command of a linear pneumatic motor. The layered and self-supporting laminated structures of motor vehicles are manufactured from a thermoplastic substrate and a flexible sheet material in one direction rolling and cutting operation. The installation for producing these laminates is a casting press having two casting plates, each of which comprises a component of a pair of cutting means. It is used a CPU 315-2 PN / DP, which is a medium-sized program memory processor and it is often used in automation structures. This processor can also be used as distributed intelligence (master or slave). The implementation of the code sequence to work on this processor is done in one of the specific languages to the programmable machines. The software used in programming is STEP 7. The stored information is not erased when the processor is disconnected. The usefulness of programmable machines has simplified the approach of an automated system.

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A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model

arXiv

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arXiv 2024年

作者： Fu, Ming-Xiang Song, Yu Lv, Jia-Meng Cao, Liang Jia, Peng Li, Nan Li, Xiang-Ru Liu, Ji-Feng Luo, A-Li Qiu, Bo Shen, Shi-Yin Tu, Liang-Ping Wang, Li-Li Wei, Shou-Lin Yang, Hai-Feng Yi, Zhen-Ping Zou, Zhi-Qiang National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China College of Electronic Information and Optical Engineering Taiyuan University of Technology Taiyuan030024 China School of Astronomy and Space Science University of Chinese Academy of Sciences Beijing101408 China Key lab of Space Astronomy and Technology National Astronomical Observatories Beijing100101 China School of Computer Science South China Normal University Guangzhou510631 China CAS Key Laboratory of Optical Astronomy National Astronomical Observatories Beijing100101 China University of Chinese Academy of Sciences Nanjing211135 China University of Science and Technology Beijing Beijing100083 China Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai200030 China School of Computer and Information Dezhou University Dezhou253023 China Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China School of Computer Science and Technology Taiyuan University of Science and Technology Taiyuan30024 China School of Mechanical Electrical and Information Engineering Shandong University Weihai264209 China Nanjing University of Posts & Telecommunications Nanjing210023 China School of Science University of Science and Technology LiaoNing Anshan114051 China

The exponential growth of astronomical datasets provides an unprecedented opportunity for humans to gain insight into the Universe. However, effectively analyzing this vast amount of data poses a significant challenge. Astronomers are turning to deep learning techniques to address this, but the methods are limited by their specific training sets, leading to considerable duplicate workloads too. Hence, as an example to present how to overcome the issue, we built a framework for general analysis of galaxy images, based on a large vision model (LVM) plus downstream tasks (DST), including galaxy morphological classification, image restoration, object detection, parameter extraction, and more. Considering the low signal-to-noise ratio of galaxy images and the imbalanced distribution of galaxy categories, we have incorporated a Human-in-the-loop (HITL) module into our large vision model, which leverages human knowledge to enhance the reliability and interpretability of processing galaxy images interactively. The proposed framework exhibits notable few-shot learning capabilities and versatile adaptability to all the abovementioned tasks on galaxy images in the DESI legacy imaging surveys. Expressly, for object detection, trained by 1000 data points, our DST upon the LVM achieves an accuracy of 96.7%, while ResNet50 plus Mask R-CNN gives an accuracy of 93.1%;for morphology classification, to obtain AUC ∼ 0.9, LVM plus DST and HITL only requests 1/50 training sets compared to ResNet18. Expectedly, multimodal data can be integrated similarly, which opens up possibilities for conducting joint analyses with datasets spanning diverse domains in the era of multi-message astronomy. © 2024, CC BY.

关键词： Object detection

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Ensuring the quality of fuel equipment joints in series production conditions by graded kitting

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AIP Conference Proceedings 2023年第1期2889卷

作者： Oleksandr Kupriyanov Hanna Hrinchenko Roman Strelchuk Mykhailo Kupriianov Ukrainian Engineering Pedagogics Academy Innovative Technologies Faculty Department of Information Computer Technologies and Mathematics 16 Universitetska st. Kharkiv 61003 Ukraine Ukrainian Engineering Pedagogics Academy Power Engineering and Automation Faculty Department of Automatization Metrology and Energy-Saving Technologies 16 Universitetska st. Kharkiv 61003 Ukraine National Technical University «Kharkiv Polytechnic Institute» Department of Integrated Technologies of Mechanical Engineering named after M.F. Semko 2 Kirpicheva st. Kharkiv 61002 Ukraine Kharkiv National University of Radio Electronics Faculty of Computer Science 14 Nauky Ave. 61166 Kharkiv Ukraine

A graded kitting method is proposed, which provides the required accuracy for a complete assemblage of a part batch. The new kitting method was tested on the example of fuel equipment produced by the Kharkiv Tractor Plant. The connection of the body and slide valve was studied under workshop conditions. Kitting accuracy and unfinished production were compared at full interchangeability, selective kitting, and graded kitting. The method proposes measuring the actual parameters of the parts and using them to improve and optimize the assembly process. The use of data on the part dimensions makes it possible to increase the efficiency of the assembly process at the expense of information support. These data must be linked to specific parts, which can be done by address buffer stations or special marking based on optical or magnetic tags. The graded kitting with full assemblage allows achieving the precision, which significantly exceeds the technological requirements. Therefore, by reducing the manufacturing requirements from the actual 5th-6th grade of accuracy for the body-slide valve connection to the 9th grade of accuracy, the total accuracy that is sufficient to ensure a structurally required fitting is achieved. The use of graded kitting makes it possible to achieve the required kitting accuracy for batches of 5 to 15 parts with easily achievable manufacturing precision requirements.

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An Efficient Evolutionary Algorithm for High-Speed Train Rescheduling Under a Partial Station Blockage

SSRN

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SSRN 2023年

作者： Wang, Rongsheng Zhang, Qi Dai, Xuewu Yuan, Zhiming Zhang, Tao Ding, Shuxin Jin, Yaochu China Academy of Railway Sciences Corporation Limited Beijing100081 China Signal and Communication Research Institute China Academy of Railway Sciences Corporation Limited Beijing100081 China Train Operation Control Laboratory for High-Speed Railway National Engineering Research Center of System Technology for High-Speed Railway and Urban Rail Transit Beijing100081 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China Faculty of Technology Bielefeld University BielefeldD-33615 Germany Department of Computer Science University of Surrey GuildfordGU2 7XH United Kingdom

This paper investigates the high-speed train rescheduling (HSTR) problem under a partial station blockage and proposes an efficient problem-specific strengthen elitist genetic algorithm (PS-SEGA) for HSTR. An HSTR model that is subject to train operation constraints is established to minimize the total train delay. The PS-SEGA framework consists of the following main steps. Firstly, a permutation-based encoding method is developed to define an efficient search space based on a train departure sequence. A decoding method is employed to output the rescheduled timetable and objective value based on the departure sequence. Moreover, a hybrid initialization method involving an efficient heuristic strategy (EHS) is put forward to accelerate the convergence speed of Evolutionary algorithms (EAs). Using problem-specific knowledge, EHS generates an efficient and feasible solution for the initial population. Finally, a restart strategy is presented to maintain genetic diversity. Compared with other advanced EAs and their improved variants also using the PS-SEGA framework, experimental results demonstrate the effectiveness of the proposed PS-SEGA for addressing HSTR scenarios under the partial station blockage. As for the scenarios that CPLEX can not obtain optimal solutions within 10 minutes, PS-SEGA can all provide quasi-optimal solutions in real-time. Furthermore, compared with the other two strategies (i.e., First-Scheduled-First-Served and EHS), PS-SEGA can find the best departure sequence that can output the timetable with a quasi-optimal solution. © 2023, The Authors. All rights reserved.

关键词： Genetic algorithms

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Changing the surface properties on naval steel as result of non-thermal plasma treatment

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IOP Conference Series: Materials Science and engineering 2016年第8期145卷

作者： B Hnatiuc A Sabău C L Dumitrache M Hnatiuc M Crețu D Astanei Constanța Maritime University Faculty of Naval Electromechanics Mircea cel Bătrân Street no. 104 900663 Constanța România 'Dunărea de Jos' University of Galați Faculty of Automation Computer Sciences Electronics and Electrical Engineering Științei Street No. 2 800146 Galați Romania 'Gheorghe Asachi' Technical University of Iasi-Romania Faculty of Electrical Engineering Blvd. Mangeron No. 21 - 23 700050 Iasi Romania

The problem of corrosion, related to Biofouling formation, is an issue with very high importance in the maritime domain. According to new rules, the paints and all the technologies for the conditioning of naval materials must fulfil more restrictive environmental conditions. In order to solve this issue, different new clean technologies have been proposed. Among them, the use of non-thermal plasmas produced at atmospheric pressure plays a very important role. This study concerns the opportunity of plasma treatment for preparation or conditioning of naval steel OL36 type. The plasma reactors chosen for the experiments can operate at atmospheric pressure and are easy to use in industrial conditions. They are based on electrical discharges GlidArc and Spark, which already proved their efficiency for the surface activation or even for coatings of the surface. The non-thermal character of the plasma is ensured by a gas flow blown through the electrical discharges. One power supply has been used for reactors that provide a 5 kV voltage and a maximum current of 100 mA. The modifications of the surface properties and composition have been studied by XPS technique (X-ray Photoelectron Spectroscopy). There were taken into consideration 5 samples: 4 of them undergoing a Mini-torch plasma, a Gliding Spark, a GlidArc with dry air and a GlidArc with CO2, respectively the fifth sample which is the untreated witness. Before the plasma treatment, samples of naval steel were processed in order to obtain mechanical gloss. The time of treatment was chosen to 12 minutes. In the spectroscopic analysis, done on a ULVAC-PHI, Inc. PHI 5000 Versa Probe scanning XPS microprobe, a monocromated Al Kα X-ray source with a spot size of 100 μm2 was used to scan each sample while the photoelectrons were collected at a 45-degree take-off angle. Differences were found between atomic concentrations in each individual case, which proves that the active species produced by each type of plasma affects the

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Prospects for the use of wireless reading of prosthetic control signals and methods for generating commands

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IOP Conference Series: Materials Science and engineering 2021年第1期1019卷

作者： D Malakhov V Zhmud V Avrmachuk D Gryaznov J Nosek L Dimitrov Department of Automation Novosibirsk State Technical University Novosibirsk Russia Department of Complex Information Security of Computer Systems Tomsk State University of Control Systems and Radioelectronics Tomsk Russia Department of Mechatronics and Computer Engineering (MTI) Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Liberec Czech Republic Vice rector Technical University of Sofia Sofia Bulgaria

The paper provides a rationale for the use of low-power wireless communication to create non-invasive bionic limb prostheses. The need for such a connection is dictated, on the one hand, by the expediency of using sensors located in various parts of the body, often very remote from each other, on the other hand, by the desire to free the disabled person's body from the wires that would envelop it like a spider web. For each of these positions, arguments are given.

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Prospects for the development of functional expansion of individual low-cost prosthetic limbs for people with disabilities with intelligent sensors

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IOP Conference Series: Materials Science and engineering 2021年第1期1019卷

作者： D Gryaznov V Zhmud V Avrmachuk D Malakhov J Nosek L Dimitrov Department of Automation Novosibirsk State Technical University Novosibirsk Russia Department of Complex Information Security of Computer Systems Tomsk State University of Control Systems and Radioelectronics Tomsk Russia Department of Mechatronics and Computer Engineering (MTI) Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Liberec Czech Republic Vice rector of Technical University of Sofia Sofia Bulgaria

Despite the development of medicine, as well as robotics aimed at helping people with disabilities, most disabled people with missing limbs cannot hope for a full life with the help of bionic prostheses, since these products are made strictly individually, and their control requires expensive surgeries to implant sensors. In addition, such prostheses themselves are very expensive. An alternative solution is to reduce the cost of such prostheses as much as possible and abandon the implantable sensors of signals of the human nervous system. The paper proposes a method for solving such a problem using a variety of sensors that remove signals from the skin surface without invasive surgery.

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Preface

SpringerBriefs in Control, Automation and Robotics

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SpringerBriefs in Control, automation and Robotics 2012年第9781447128519期 vii-viii页

作者： Jiao, Zhuang Chen, YangQuan Podlubny, Igor Department of Automation Tsinghua University Beijing China Department of Electrical and Computer Engineering Utah State University Old Main Hill CSOIS 4120 LoganUT84322-4120 United States BERG Faculty Technical University of Kosice B. Nemcovej 3 Kosice04200 Slovakia

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Unsupervised Social Bot Detection via Structural Information Theory

arXiv

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arXiv 2024年

作者： Peng, Hao Zhang, Jingyun Huang, Xiang Hao, Zhifeng Li, Angsheng Yu, Zhengtao Yu, Philip S. School of Cyber Science and Technology Beihang University No. 37 Xue Yuan Road Haidian District Beijing100191 China State Key Laboratory of Public Big Data Guizhou University No. 2708 South Section of Huaxi Avenue Huaxi District Guizhou Province Guiyang City550025 China Guangxi Key Lab of Multi-source Information Mining & Security Guangxi Normal University Guilin541004 China Yunnan Key Laboratory of Artificial Intelligence Kunming University of Science and Technology Kunming650500 China College of Science University of Shantou No. 243 University Road Shantou515063 China School of Computer Science and Engineering Beihang University No. 37 Xue Yuan Road Haidian District Beijing100191 China Faculty of Information Engineering and Automation Yunnan Key Laboratory of Artificial Intelligence Kunming University of Science and Technology Kunming650500 China Department of Computer Science University of Illinois at Chicago ChicagoIL60607 United States

Research on social bot detection plays a crucial role in maintaining the order and reliability of information dissemination while increasing trust in social interactions. The current mainstream social bot detection models rely on black-box neural network technology, e.g., Graph Neural Network, Transformer, etc., which lacks interpretability. In this work, we present UnDBot, a novel unsupervised, interpretable, yet effective and practical framework for detecting social bots. This framework is built upon structural information theory. We begin by designing three social relationship metrics that capture various aspects of social bot behaviors: Posting Type Distribution, Posting Influence, and Follow-to-follower Ratio. Three new relationships are utilized to construct a new, unified, and weighted social multi-relational graph, aiming to model the relevance of social user behaviors and discover long-distance correlations between users. Second, we introduce a novel method for optimizing heterogeneous structural entropy. This method involves the personalized aggregation of edge information from the social multi-relational graph to generate a two-dimensional encoding tree. The heterogeneous structural entropy facilitates decoding of the substantial structure of the social bots network and enables hierarchical clustering of social bots. Thirdly, a new community labeling method is presented to distinguish social bot communities by computing the user's stationary distribution, measuring user contributions to network structure, and counting the intensity of user aggregation within the community. Compared with ten representative social bot detection approaches, comprehensive experiments demonstrate the advantages of effectiveness and interpretability of UnDBot on four real social network datasets. Copyright © 2024, The Authors. All rights reserved.

关键词： Information theory

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Numerical solution of van der Pol equation via fix and variable step size methods

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AIP Conference Proceedings 2023年第1期2746卷

作者： Noor Julailah Abd Mutalib Norhayati Rosli Noor Amalina Nisa Ariffin Centre for Mathematical Sciences College of Computing and Applied Sciences Universiti Malaysia Pahang Malaysia Lebuhraya Tun Razak 26300 Gambang Pahang Malaysia Faculty of Electrical & Automation Engineering Technology University College TATI 24000 Kemaman Terengganu Malaysia Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Jengka Campus 26400 Bandar Tun Razak Pahang Malaysia

This paper devotes to the numerical simulation of Van der Pol equation using fix and variable step size methods. The solution is obtained via two different methods of Runge-Kutta of order 5 (RK5) for fix step size and Runge-Kutta Fehlberg method (RKF) of order 5 for variable step size. The algorithms of fix and variable step size of RK5 and RKF methods, respectively are developed and coded in Matlab for model simulation. Local and global errors are computed for non-stiff and stiff problem of Van der Pol equation. RKF method using variable step size show low values of error for stiff problem with less number of iteration, hence indicate good performance of the method in approximating the solution of the Van der Pol model.

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