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Measurement of acceleration and angular velocity of particles during a 3D silo discharge

Particuology 2024年第9期92卷 61-71页

作者： Tongtong Mu Yiming Li Quan Chen Ran Li Hui Yang College of Medical Instrument Shanghai University of Medicine and Health SciencesShanghai201318China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai200093China

Accurate measurement of the three-dimensional(3D)movement of discrete particles is crucial for comprehending complex granular rheology in *** this paper,the acceleration and angular velocity of particles in 3D silos are measured by using a spherical detector based on inertial technology and magnetic positioning *** acceleration of particles is the largest in the center of silos,which suggest that the resistance generated by friction and extrusion is the ***,the angular velocity distribution follows lognormal function except for particles near the *** correlation between acceleration and angular velocity is opposite in different flow *** reveals for the first time that the extent to which the resultant force on the particles affects their rotational motion is related to the flow *** results have practical significance for regulating the granular flow pattern and optimizing the structural design of silos.

关键词： Granularflow Silo Angular velocity Acceleration

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Evaluation of software aging in Hyperledger Fabric 35

Evaluation of software aging in Hyperledger Fabric

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35th IEEE International Symposium on Software Reliability engineering Workshops, ISSREW 2024

作者： Soeda, Kojiro Xiao, Xiao Tokyo Metropolitan University Department of Electrical Engineering and Computer Science Tokyo Japan

ISBN: (纸本)9798350367041

Software aging is the gradual decline in performance that occurs with continuous software operation. As the demands on software systems increase, assessing the risk of software aging becomes crucial, especially in modern systems requiring high availability, such as blockchain platforms. Herein, we quantitatively evaluated the risk of software aging in Hyperledger Fabric, a permissioned blockchain. We subjected Hyperledger Fabric to various loads in an experimental environment and monitored memory and CPU usage fluctuations. Through statistical tests - including the Mann-Kendall test, modified Cox-Stuart test, and Sen's slope estimation - we identified the risk of software aging in terms of memory and CPU usage across all peers. © 2024 IEEE.

关键词： Software testing

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Face frontalization GAN with self-supervised learning for pose-invariant facial recognition 11

Face frontalization GAN with self-supervised learning for po...

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11th International Conference on Soft Computing and Machine Intelligence, ISCMI 2024

作者： Alhlffee, Mahmood H.B. Chung Hua University College of Computer Science and Electrical Engineering Hsinchu Taiwan

ISBN: (纸本)9798331518127

Despite impressive milestones achieved by generative models such as Generative Adversarial Network (GAN) in synthesizing faces, maintaining face identity remains a major challenge for most face recognition system. In this paper, we propose a Self-supervised Face Frontalization GAN (SF-GAN), which produces a frontal face image from a profile image. We designed a profile method to preserve identity information and fine details in high-resolution that focus on pose feature space, which helps SF-GAN reconstruct high-frequency face texture details. SF-GAN switches key facial regions between the input image and its reconstructed version to produce more realistic images. Furthermore, we introduce an orthogonal constraint to our generator that penalizes redundant latent representations, resulting in a more diverse pose appearance details. While the discriminator is designed with a mechanism of facial awareness for each facial region to improve overall model performance. FaceNet and MTCNN are then used to extract correlated face features in order to determine the accuracy of face recognition. Our evaluations are based on the Multi-PIE and CAS-PEAL datasets. Results showed that SF-GAN achieved a better face quality visualization and rank-1 face identification. © 2024 IEEE.

关键词： Generative adversarial networks

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Optimization of Transmission Distance in Symmetric Wireless Power Transfer Topology 47

Optimization of Transmission Distance in Symmetric Wireless ...

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47th ICT and Electronics Convention, MIPRO 2024

作者： Vinko, Davor Srnović, Mario Bilandžija, Domagoj Filipović, Luka Faculty Of Electrical Engineering Computer Science And Information Technology Osijek Osijek Croatia

ISBN: (纸本)9798350382495

Inductive wireless power transfer (WPT) system uses alternating magnetic field to transmit power from the transmitter to the receiver. To confine the magnetic field, WPT coils are realized with high permeability substrate material that ensures shielding. Aside from shielding, high permeability substrate also increases the coil inductance. When transmitter and receiver coils are placed in close proximity, high permeability substrate of transmitter coil increases the inductance of the receiver coil, and vice versa. This additional inductance increase is a function of the substrate material type and the distance between the coils. To achieve high efficiency and low losses of the WPT system, a capacitor network is added to both transmitter and receiver coil. In a common serial-serial (S-S) WPT system topology, the capacitor networks are asymmetric, i.e. the capacitor network of the transmitter and the receiver are not identical. The efficiency of asymmetric S-S topology is significantly impaired due to variable coil inductance. To attain high efficiency in such operating conditions, this paper proposes symmetric S-S WPT topology with emphasis on transmission distance optimization. © 2024 IEEE.

关键词： Inductive power transmission

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Multi-Objective Optimization of Triple Active Bridge DC-DC Converters

Multi-Objective Optimization of Triple Active Bridge DC-DC C...

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2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2024

作者： Luckett, Benjamin He, JiangBiao University Of Kentucky Department Of Electrical And Computer Engineering LexingtonKY United States University Of Tennessee Department Of Electrical Engineering And Computer Science KnoxvilleTN United States

ISBN: (纸本)9798331529277

The triple active bridge (TAB) is a promising 3-port DC-DC converter technology which performs bi-directional power transfer with galvanic isolation. Due to intensive interactions between parameter selection and a TAB converter's performance in efficiency, specific power, reliability, and cost, many design considerations need to be simultaneously weighed to achieve an optimal converter. In this paper, a genetic algorithm based design optimization framework is developed to enhance the performance of a TAB converter with respect to multiple design objectives. Switching devices, thermal management systems, passive components, and the design of a planar multi-winding transformer are accounted for to ensure multidisciplinary performance benefits. Initial optimization results when aiming to attain the highest specific power and efficiency are presented, and the related design trade-offs are discussed. © 2024 IEEE.

关键词： Transformer windings

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Transmission of Electromagnetic Waves Through a Clay Material 1

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32nd International Conference on Organization and Technology of Maintenance, OTO 2023

作者： Mandrić, Vanja Rupčić, Slavko Vinko, Davor Bilandžija, Domagoj Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia

ISBN: (数字)9783031514944

ISBN: (纸本)9783031514937

This paper deals with the simulation calculation of transmission (S21) and reflection (S22) parameters in a material parametrically based on clay (brick). The electromagnetic parameters of the clay that are the subject of the study are: relative permittivity Εr, loss tangent tan δ and electrical conductivity σ, while the only structural parameter is the thickness d of the sample. The values of all considered parameters are within the range of data from available literature and values that could occur due to external causes (e. g. an increase in clay moisture leads to an increase in electrical conductivity). The simulation model was carried out with the software tool ANSYS HFSS and validated with a laboratory measurement model. The laboratory model consists of a circular waveguide with an inner diameter of 150 mm and a total length of 700 mm, which is excited by 52 mm long probes placed 50 mm from the last wall of the waveguide. The lower cut-off frequency of this measurement system is 1.173 GHz, so all results (simulation and measurement) are limited by this lower cut-off frequency of the waveguide. All simulation calculations were performed for three clay sample thicknesses: 18 mm, 36 mm and 54 mm. These calculations were made with the aim of determining brick composites that have high attenuation of electromagnetic EM waves (low transmission parameter and high reflection parameter) in order to reduce the strength of EM fields inside the object made of such bricks. The measured results were used to verify the simulation model. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Circular waveguides

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LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate 38

LRS: Enhancing Adversarial Transferability through Lipschitz...

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38th AAAI Conference on Artificial Intelligence, AAAI 2024

作者： Wu, Tao Luo, Tie Wunsch, Donald C. Department of Computer Science Missouri University of Science and Technology United States Department of Electrical and Computer Engineering Missouri University of Science and Technology United States

ISBN: (纸本)1577358872

The transferability of adversarial examples is of central importance to transfer-based black-box adversarial attacks. Previous works for generating transferable adversarial examples focus on attacking given pretrained surrogate models while the connections between surrogate models and adversarial trasferability have been overlooked. In this paper, we propose Lipschitz Regularized Surrogate (LRS) for transfer-based black-box attacks, a novel approach that transforms surrogate models towards favorable adversarial transferability. Using such transformed surrogate models, any existing transfer-based black-box attack can run without any change, yet achieving much better performance. Specifically, we impose Lipschitz regularization on the loss landscape of surrogate models to enable a smoother and more controlled optimization process for generating more transferable adversarial examples. In addition, this paper also sheds light on the connection between the inner properties of surrogate models and adversarial transferability, where three factors are identified: smaller local Lipschitz constant, smoother loss landscape, and stronger adversarial robustness. We evaluate our proposed LRS approach by attacking state-of-the-art standard deep neural networks and defense models. The results demonstrate significant improvement on the attack success rates and transferability. Our code is available at https://***/TrustAIoT/LRS. Copyright © 2024, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Deep neural networks

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An efficient cloud based face recognition system for e-health secured login using steerable pyramid transform and local directional pattern

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Journal of Ambient Intelligence and Humanized Computing 2024年第1期15卷 1017-1027页

作者： Dosaj, Ayush Satapathy, Suresh Chandra Soundrapandiyan, Rajkumar Kaur, Mannat Hannoon, Naeem School of Computer Science and Engineering Vellore Institute of Technology Vellore India School of Computer Science and Engineering Kalinga Institute of Industrial Technology Deemed to be University Odisha Bhubaneswar India Faculty of Electrical Engineering Universiti Teknologi MARA Shah Alam Malaysia

This paper proposes a face recognition system based on steerable pyramid transform (SPT) and local directional pattern (LDP) for e-health secured login in cloud domain. In an e-health login, patients periodically forget their self-made login username and password. This face recognition system can replace the traditional login system. In the proposed system, SPT can decompose a face image into several sub-bands of different scales and orientations, and LDP can encode the sub-bands in binary texture pattern. The LDP binary pattern was obtained by computing the edge response values in all eight directions at each pixel position and generating a code from the relative strength magnitude. Therefore, SPT–LDP design represents a face image in a robust way which includes multiple information sources from different scales and orientations. The proposed system is tested on standard benchmark facial recognition technology (FERET) and extended Yale-B databases. Further, the efficiency of the proposed system is proved by comparing recognition rates with other existing descriptor based methods. From the experimental results it is observed that the proposed system achieves 99.79% recognition in fb set, 90.72% in fc set, 84.97% in dup I set, and 87.69% in dup II set for FERET database and 100% in sub2 set, 100% in sub3 set, 96% in sub4 set and 95% in sub5 set for extended Yale-B database which is better than the existing methods. © Springer-Verlag GmbH Germany, part of Springer Nature 2018.

关键词： Face recognition

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Visual Programming Concept for Infineon XMC Series Microcontrollers 47

Visual Programming Concept for Infineon XMC Series Microcont...

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47th ICT and Electronics Convention, MIPRO 2024

作者： Vulić, Lukrecia Kaučić, Luka Aleksi, Ivan Matić, Tomislav Computer Science And Information Technology Osijek Faculty Of Electrical Engineering Osijek Croatia

ISBN: (纸本)9798350382495

In today's modern world, efficient programming is a necessity. To speed up code generation nowadays, programming code is generated using different graphical tools. Although efficient, this technology is scarcely used in embedded system development. In this paper, we present a procedure for block-based visual programming with applications in embedded systems development. We present several examples of blocks using the Blockly open-source visual programming tool and test the implementation on selected Infineon XMC-based boards. The presented programming solution shows successful implementation of block-based visual programming in embedded systems development. © 2024 IEEE.

关键词： Embedded systems

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On Deep Learning for Condition Assessment of Power Transformers 16

On Deep Learning for Condition Assessment of Power Transform...

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16th IEEE PES Asia-Pacific Power and Energy engineering Conference, APPEEC 2024

作者： Jiang, Hanjun Ekanayake, Chandima Ma, Hui School of Electrical Engineering and Computer Science The University of Queensland BrisbaneQLD Australia

ISBN: (纸本)9798350386127

Accurately assessing power transformers' health condition and calculating their probability of failure (PoF) can facilitate decision-making with respect to the operation and maintenance of transformers. Among various data and information used for transformer condition assessment and PoF calculation, the Dissolved Gas Analysis (DGA) plays a key role in diagnosing transformer incipient faults. In this paper, we have developed a deep learning-based model to improves the effectiveness of DGA interpretation for transformer condition assessment. Then, the refined DGA results are used alongside other transformer measurement data to support the PoF calculation and risk cost analysis. The method developed in this paper has been validated using the dataset collected from numerous in-service power transformers. © 2024 IEEE.

关键词： Distribution transformers

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