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15th International Scientific-Technical Conference on Actual Problems of Electronic Instrument engineering, APEIE 2021

作者： Baranova, Nina V. Mezentsev, Yurii A. Pavlov, Pavel S. Novosibirsk State Technical University Faculty of Automation and Computer Engineering Novosibirsk Russia

ISBN: (纸本)9781665434089

The optimization problem of forming a production program for the needs of a small sewing enterprise is solved. The results of the search and comparative analysis of the studies carried out in the last decade, which consider similar approaches to the application of discrete optimization tools to the problem of finding a production program, are presented. The substantiation of the relevance and novelty of the research is given, which consists in the fact that a new formulation of the discrete optimization problem has been created, which would take into account all the main aspects of production activities: from the selection of suppliers to the determination of sales plans for all types of buyers and the determination of sales prices. The input data for the program have been collected and agreed, tests that have shown the effectiveness of the proposed solution have been calculated on the real data of the enterprise. Further vectors for the development of the work have been determined. © 2021 IEEE.

关键词： Sales

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Application of Prony's Method for Predicting the Earth Rotation Parameters 25

Application of Prony's Method for Predicting the Earth Rotat...

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25th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2024

作者： Gavrilov, Alexey B. Ipatiev, Vitaly A. Kuzminykh, Ilya A. Faculty of Automation and Computer Engineering Novosibirsk State Technical University Novosibirsk Russia

ISBN: (纸本)9798350389234

The research paper explores the feasibility of employing the Prony parametric approximation technique for predicting time series data, with a particular emphasis on Earth rotation parameters. These parameters encompass the angular displacement of the Earth's pole axis, which are pivotal for comprehending and forecasting the Earth's rotation. The study utilizes a dataset that includes these specific parameters to evaluate the Prony method's effectiveness in forecasting. The outcomes of this method's application, which vary based on the algorithm's parameters, are thoroughly examined. This examination not only illuminates the method's predictive capabilities but also investigates how different parameter settings impact forecast accuracy. The findings underscore the Prony method's potential as a valuable instrument in the realm of time series forecasting, especially in the context of Earth rotation studies. This investigation contributes to a deeper understanding of time series analysis techniques and their applications in geophysics and related fields. The paper further discusses the implications of these findings for both theoretical and practical applications in Earth sciences. The research also highlights the importance of further studies to optimize the Prony method's parameters for maximum forecast accuracy. This could pave the way for more precise predictions in geophysical phenomena, benefiting a wide range of scientific and technological endeavors. © 2024 IEEE.

关键词： Poles and zeros

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Phase-Shift Algorithm for Two Nonorthogonal Interferograms 3

Phase-Shift Algorithm for Two Nonorthogonal Interferograms

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3rd IEEE International Conference on Problems of Informatics, Electronics and Radio engineering, PIERE 2024

作者： Guzhov, Vladimir I. Ilinykh, Sergey P. Khaidukov, Dmitry S. Novosibirsk State Technical University Faculty of Automation and Computer Engineering Novosibirsk Russia

ISBN: (纸本)9798331516321

The phase step method is widely used to analyze interferograms and extract the phase distribution from them. Its limitation is the large number of interferograms required for this purpose. The minimum number is three interferograms. This paper describes a general analysis algorithm that requires only two interferograms, the phase shifts between which may not be orthogonal. The idea of the paper is to obtain an additional interferogram by transforming a two-dimensional elliptical cross section that is formed by the two interferograms into a threedimensional cross section with respect to the base of some spatial cylinder. After determining the parameters of the ellipse, a projection vector parallel to the center axis of the cylinder is found. Then the two-dimensional section is projected onto a three-dimensional plane perpendicular to the center axis of the cylinder. Each of the projections of this plane onto the coordinate planes forms one of the interferograms. After obtaining three interferograms, phase demodulation was performed using a three-point algorithm. The RMS error of the phase calculation was 0.015 radians. © 2024 IEEE.

关键词： Demodulation

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Image cryptography algorithm based on a new composite chaotic system and Latin square collaborative mechanism

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Optics and Lasers in engineering 2025年 193卷

作者： Anhong Tian Zhongze Yue Chengbiao Fu Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming 650500 China Faculty of Land Resource Engineering Kunming University of Science and Technology Kunming 650093 China Yunnan Key Laboratory of Computer Technologies Application Kunming University of Science and Technology Kunming 650500 China

Encryption algorithms based on chaos theory have become a prominent research focus in the field of information security. However, existing chaotic systems exhibit several limitations, including discontinuous chaotic intervals, low complexity of chaotic signals, and insufficient robustness in their dynamical behavior. These deficiencies pose potential risks to the application of chaotic cryptography. To address these issues, this paper proposes a universal two-dimensional composite hyperchaotic system model (2D-CHS). Through rigorous theoretical analysis, it is demonstrated that the number of positive Lyapunov exponents ( LEs ) in 2D-CHS is always equal to its dimensionality, indicating the existence of infinitely many coexisting attractors and strong robustness against dynamical degradation. To validate the effectiveness of the proposed 2D-CHS, three one-dimensional chaotic maps are first employed as seed maps to construct three 2D chaotic mappings as representative examples. Evaluation and experimental results demonstrate that the newly generated chaotic maps exhibit broader and more continuous chaotic intervals than traditional chaotic maps, and they also outperform existing systems in terms of LEs , the 0–1 t est, sample entropy ( SE ), permutation entropy ( PE ), and correlation dimension ( CD ). Furthermore, a digital circuit implementation scheme based on a microcontroller is designed to verify the practical feasibility and physical realizability of the proposed system. Finally, the novel 2D chaotic system is integrated with Latin square matrices to develop a high-efficiency image encryption algorithm. Experimental results confirm that the algorithm demonstrates excellent efficiency and security performance.

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VSSB-Raft: A Secure and Efficient Zero Trust Consensus Algorithm for Blockchain

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ACM Transactions on Sensor Networks 2024年第2期20卷 1-22页

作者： Tian, Siben Bai, Fenhua Shen, Tao Zhang, Chi Gong, Bei Faculty of Information Engineering and Automation Kunming University of Science and Technology Yunnan Key Laboratory of Computer Technology Applications China Faculty of Information Technology Beijing University of Technology China

To solve the problems of vote forgery and malicious election of candidate nodes in the Raft consensus algorithm, we combine zero trust with the Raft consensus algorithm and propose a secure and efficient consensus algorithm -Verifiable Secret Sharing Byzantine Fault Tolerance Raft Consensus Algorithm (VSSB-Raft). The VSSB-Raft consensus algorithm realizes zero trust through the supervisor node and secret sharing algorithm without the invisible trust between nodes required by the algorithm. Meanwhile, the VSSB-Raft consensus algorithm uses the SM2 signature algorithm to realize the characteristics of zero trust requiring authentication before data use. In addition, by introducing the NDN network, we redesign the communication between nodes and guarantee the communication quality among nodes. The VSSB-Raft consensus algorithm proposed in this paper can make the algorithm Byzantine fault tolerant by setting a threshold for secret sharing while maintaining the algorithm's complexity to be O(n). Experiments show that the VSSB-Raft consensus algorithm is secure and efficient with high throughput and low consensus latency. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Blockchain

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Observer-based controller design for the minimally invasive surgery

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Current Directions in Biomedical engineering 2018年第1期4卷 41-44页

作者： Smolinski, Eike Benkmann, Alexander Drewelow, Wolfgang Jeinsch, Torsten Cappius, Hans-Joachim Westerhoff, Peter Institute of Automation Faculty of Computer Science and Electrical Engineering University of Rostock Rostock Germany World of Medicine GmbH Berlin 10587 Germany

Due to its advantages like minimal trauma and a low risk of infections, the minimally invasive surgery (MIS) has become the standard operation technique for many surgical procedures. During this type of intervention, one of the main tasks from a technical point of view is the control of the pressure in the operation area in order to give the surgeon sufficient space to perform his actions. Because no invasive measurements are available, an extended Kalman filter incorporating the peristaltic behavior of the used medical device was developed to estimate the pressure in the operation area. This contribution focuses on the observer design while a separately designed PI controller using loop shaping was employed for validation. The proposed observer-based control structure was tested with a simulator deploying the principle of physical equivalence. © 2018 Eike Smolinski et al.

关键词： Disturbance rejection

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The generic mechatronic transducer model - A unified system modeling approach

The generic mechatronic transducer model - A unified system ...

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5th IFAC Symposium on Mechatronic Systems, MECHATRONICS 2010

作者： Janschek, Klaus Institute of Automation Faculty Electrical and Computer Engineering Technische Universität Dresden Germany

ISBN: (纸本)9783902661760

The current paper presents a unified lumped parameter modeling approach for deriving generic analytical system models of reciprocal electromechanical (mechatronic) transducers for various physical working principles (e.g. electrostatic, piezoelectric, electromagnetic, electrodynamic). Starting from constitutive physical relations representing natural laws, the model hierarchy comprises energy based nonlinear EULER-LAGRANGE behavior models, linearized electromechanical two-port models forming constitutive transducer equations and MIMO transfer function models describing the causality based signal flow behavior to be used for control system design and analysis purposes. It is shown that the models describe in a generic way the unified behavior of reciprocal transducers under different operating conditions, e.g. voltage vs. current control. Moreover the models allow in a straightforward way the generic discussion, i.e. independent from the concrete physical working principle, of important transducer operational concepts such as impedance feedback or self-sensing. © 2010 IFAC.

关键词： Transducers

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Unsafe-Net: YOLO v4 and ConvLSTM based computer vision system for real-time detection of unsafe behaviours in workplace

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Multimedia Tools and Applications 2024年 1-27页

作者： Önal, Oğuzhan Dandıl, Emre Department of Electronic and Automation Vocational School Bilecik Seyh Edebali University Bilecik Turkey Department of Computer Engineering Faculty of Engineering Bilecik Seyh Edebali University Bilecik Turkey

Unsafe behaviour is a leading cause of death or injury in the workplace, including many accidents. Despite regular safety inspections in workplaces, many accidents occur as a result of breaches of occupational health and safety protocols. In these environments, despite efforts to prevent accidents and losses in hazardous environments, human error cannot be completely eliminated. In particular, in computer-based solutions, automated behaviour detection has low accuracy, is very costly, not real-time and requires a lot of time. In this study, we propose Unsafe-Net, a hybrid computer vision approach using deep learning models for real-time classification of unsafe behaviours in workplace. For the Unsafe-Net, a dataset is first specifically created by capturing 39 days of video footage from a factory. Using this dataset, YOLO v4 and ConvLSTM methods are combined for object detection and video understanding to achieve fast and accurate results. In the experimental studies, the classification accuracy of unsafe behaviours using the proposed Unsafe-Net method is 95.81% and the average time for action recognition from videos is 0.14 s. In addition, the Unsafe-Net has increased the real-time detection speed by reducing the average video duration to 1.87 s. In addition, the system is installed in a real-time working environment in the factory and employees are immediately alerted by the system, both audibly and visually, when unsafe behaviour occurs. As a result of the installation of the system in the factory environment, it has been determined that the recurrence rate of unsafe behaviour has been reduced by approximately 75%. © The Author(s) 2024.

关键词： Object detection

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Enhancing the Recommender System Algorithm's Quality Through the Utilization of Affinity Analysis 16

Enhancing the Recommender System Algorithm's Quality Through...

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16th IEEE International Scientific and Technical Conference Actual Problems of Electronic Instrument engineering, APEIE 2023

作者： Stubarev, Igor M. Alsova, Olga K. Yakimenko, Alexander A. Novosibirsk State Technical University Faculty of Automation and Computer Engineering FB Consult Novosibirsk Russia Novosibirsk State Technical University Faculty of Automation and Computer Engineering Novosibirsk Russia Novosibirsk State Technical University Faculty of Automation and Computer Engineering Institute of Computational Mathematics and Mathematical Geophysics SB RAS Laboratory of Geophysical Informatics Novosibirsk Russia

ISBN: (纸本)9798350330885

The demand for auxiliary systems that utilize methods and technologies of intellectual data analysis and machine learning is increasing in the CRM system development field. These systems are capable of generating valuable insights from vast amounts of data collected in CRM. The article shows the results of the development and study of the CRM system using the methods of affinity analysis. Earlier, the authors developed and implemented the base version of the recommender algorithm based on the use of cluster data analysis and collaborative filtration [1, 2]. The new version of the algorithm additionally uses affinity analysis methods to form recommendations for the selection of products, which made it possible to increase the accuracy of the recommendation system (service) by metrics F2 on average from 67.98% to 81.24% with an increase in the time for issuing recommendations (On average by 2.47 ms). The study and comparison of the basic and modified versions of the algorithm were executed using data sourced from insurance companies, furnished by "FB Consult". © 2023 IEEE.

关键词： Collaborative filtering

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Performance results of qualitative optical flow processing integrated in fuzzy logic-based behavioral mobile robot control

Performance results of qualitative optical flow processing i...

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10th IFAC Symposium on Robot Control, SYROCO 2012

作者： Mai, Ngoc Anh Janschek, Klaus Institute of Automation Faculty of Electrical and Computer Engineering Technische Universität Dresden Germany

ISBN: (纸本)9783902823113

This paper reports performance results of qualitative optical flow processing integrated in a fuzzy logic-based behavioral mobile robot control system. The quality and noise robustness of qualitative optical flow processing is improved by a novel optical flow outlier detection filter. This filter performs a qualitative detection of outliers based on comparison between an optical flow vector and the average value of an optical flow pattern related to the considered vector. The performance of qualitative optical flow processing is tested and demonstrated successfully through experiments in a real office environment. © 2012 IFAC.

关键词： Fuzzy logic

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