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International Conference on Application of Intelligent systems in Multi-modal Information Analytics, MMIA 2020

作者： Ma, Shufang Wu, Jiang Jiao, Shuangben Xue, Bin Engineering and Technology R&D Center of Mechanical and Electrical in Colleges of Shandong Qingdao Binhai University QingdaoShandong266555 China School of Mechanical and Electrical Engineering Qingdao Binhai University QingdaoShandong266555 China Qingdao Zhongzhuang Vision Automation System Control Co. Ltd. QingdaoShandong266555 China

ISBN: (纸本)9783030514303

WiFi module intelligent grabbing system based on visual guidance is established by taking MV-CH120-10GM industrial camera and Siemens S7-200smartPLC as the hardware basis designated to realize identification and positioning grabbing of WiFi module. Hardware selection and imaging processing is studied based on visual module, and visual identity and positioning algorithm is developed by taking VisionPro9.0 as the platform. Meanwhile, logical judgment on imaging processing result is carried out by using the software Vision Studio C#. Besides, visual windows is used for inspecting image and data display. Through experimental verification, it is ultimately indicated that the visual algorithm features higher identification and positioning accuracy and satisfies the requirements of the grabbing system. © 2021, Springer Nature Switzerland AG.

关键词： Computer vision

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review on Security defense Technology research in Edge Computing Environment

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Chinese Journal of Electronics 2024年第1期33卷 1-18页

作者： Ke SHANG Weizhen HE Shuai ZHANG National Digital Switching System Engineering and Technological R&D Center

Edge computing, which achieves quick data processing by sinking data computing and storage to the network edge, has grown rapidly along with the Internet of things. The new network architecture of edge computing brings new security challenges. Based on this, this paper investigates the edge computing security literature published in recent years and summarizes and analyzes research work on edge computing security from different attack surfaces. We start with the definition and architecture of edge computing. From the attack surface between device and edge server, as well as on edge servers, the research describes the security threats and defense methods of edge computing. In addition, the cause of the attack and the pros and cons of defense methods is introduced. The challenges and future research directions of edge computing are given.

关键词： Edge computing Security Threat defense Architecture Attack surface

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Study on Vehicle Stability and Vibration damping Effect According to Magnetic Material Characteristics of Mr damper Solenoid Valve

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Transactions of the Korean Institute of Electrical Engineers 2024年第7期73卷 1182-1189页

作者： Kang, Kyongho Park, Jongdeok Electrification System Team Hyundai-Rotem Defense R&D Center Korea Republic of

In this paper, we calculate and analyze the effects of the magnetization characteristics of the solenoid valve of the Mr damper on the generation of damping force and the vehicle. First, to calculate the damping force of the Mr damper, an analytical calculation program based on MATLAB/GUI is combined with a finite element analysis that can consider geometrical shape and magnetization characteristics. Second, the magnetization characteristics of various magnetic material candidates are measured through experiments. Third, in order to verify the consistency of the damping force characteristics for each speed obtained through analysis, it is compared with the test results measured by the damper test equipment. Finally, the calculated damping force characteristics are combined with the vehicle dynamics model to analyze the vehicle's driving behavior and vibration under various road conditions. After analyzing vehicle behavior and vibration damping effects depending on the magnetic material, a magnetic material suitable for the Mr damper is finally proposed. Copyright © The Korean Institute of Electrical Engineers.

关键词： Solenoid valves

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Knowledge Graph Completion Method of Combining Structural Information with Semantic Information

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Chinese Journal of Electronics 2024年第6期33卷 1412-1420页

作者： Binhao HU Jianpeng ZHANG Hongchang CHEN School of Cyber Science and Engineering Zhengzhou University National Digital Switching System Engineering & Technological R&D Center (NDSC)

With the development of knowledge graphs, a series of applications based on knowledge graphs have emerged. The incompleteness of knowledge graphs makes the effect of the downstream applications affected by the quality of the knowledge graphs. To improve the quality of knowledge graphs, translation-based graph embeddings such as TransE, learn structural information by representing triples as low-dimensional dense vectors. However, it is difficult to generalize to the unseen entities that are not observed during training but appear during testing. Other methods use the powerful representational ability of pre-trained language models to learn entity descriptions and contextual representation of triples. Although they are robust to incompleteness, they need to calculate the score of all candidate entities for each triple during inference. We consider combining two models to enhance the robustness of unseen entities by semantic information, and prevent combined explosion by reducing inference overhead through structured information. We use a pre-training language model to code triples and learn the semantic information within them, and use a hyperbolic space-based distance model to learn structural information, then integrate the two types of information together. We evaluate our model by performing link prediction experiments on standard datasets. The experimental results show that our model achieves better performances than state-of-the-art methods on two standard datasets.

关键词： Training Semantics Knowledge graphs Predictive models Vectors robustness Explosions Standards Testing Context modeling

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MMCSd:Multi-Modal Knowledge Graph Completion Based on Super-resolution and detailed description Generation

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Computers, Materials & Continua 2025年第4期83卷 761-783页

作者： Huansha Wang ruiyang Huang Qinrang Liu Shaomei Li Jianpeng Zhang National Digital Switching System Engineering&Technological R&D Center Information Engineering UniversityZhengzhou450001China

Multi-modal knowledge graph completion(MMKGC)aims to complete missing entities or relations in multi-modal knowledge graphs,thereby discovering more previously unknown *** to the continuous growth of data and knowledge and the limitations of data sources,the visual knowledge within the knowledge graphs is generally of low quality,and some entities suffer from the issue of missing visual ***,previous studies of MMKGC have primarily focused on how to facilitate modality interaction and fusion while neglecting the problems of low modality quality and modality *** this case,mainstream MMKGC models only use pre-trained visual encoders to extract features and transfer the semantic information to the joint embeddings through modal fusion,which inevitably suffers from problems such as error propagation and increased *** address these problems,we propose a Multi-modal knowledge graph Completion model based on Super-resolution and detailed description Generation(MMCSd).Specifically,we leverage a pre-trained residual network to enhance the resolution and improve the quality of the visual ***,we design multi-level visual semantic extraction and entity description generation,thereby further extracting entity semantics from structural triples and visual ***,we train a variational multi-modal auto-encoder and utilize a pre-trained multi-modal language model to complement the missing visual *** conducted experiments on FB15K-237 and dB13K,and the results showed that MMCSd can effectively perform MMKGC and achieve state-of-the-art performance.

关键词： Multi-modal knowledge graph knowledge graph completion multi-modal fusion

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Proposal of Hybrid dC Circuit Breaker Applying reverse Current Injection Topology

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Transactions of the Korean Institute of Electrical Engineers 2024年第2期73卷 281-287页

作者： Jae-Young, Hong Tae-Pung, An Power Electric & Electrinic System R&D Institute ENTEC Electric & Electronic Co. LTD. Korea Republic of Power Power Electric & Electronic System R&D Institute ENTEC Electric & Electronic Co. LTD. Korea Republic of

In order to respond with the power consumption caused by the spread of eco-friendly vehicles and the expansion of data centers, it is necessary to increase the generation of new and renewable energy and provide stable power. In order that, it is necessary to configure a multi-terminal dC grid to effectively manage the AC/dC hybrid grid operation and the connection between the dC systems. dC circuit breaker that can be separated from the accident system is needed to minimize the impact at the fault and the stable operation of the multi-terminal dC grid. In this paper, we propose a hybrid dC circuit breaker that performs the blocking operation by creating a current zero crossing by injecting a reverse current. The current formula is explained through the order and analysis of the topology blocking operation. And the performance of the topology was verified by modeling and simulation the reverse current injection topology through PSCAd/EMTdC. Copyright © The Korean Institute of Electrical Engineers.

关键词： Electric circuit breakers

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LdAS&ET-Ad:Learnable distillation Attack Strategies and Evolvable Teachers Adversarial distillation

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Computers, Materials & Continua 2024年第5期79卷 2331-2359页

作者： Shuyi Li Hongchao Hu Xiaohan Yang Guozhen Cheng Wenyan Liu Wei Guo National Digital Switching System Engineering&Technological R&D Center The PLA Information Engineering UniversityZhengzhou450000China

Adversarial distillation(Ad)has emerged as a potential solution to tackle the challenging optimization problem of loss with hard labels in adversarial ***,fixed sample-agnostic and student-egocentric attack strategies are unsuitable for ***,the reliability of guidance from static teachers diminishes as target models become more *** paper proposes an Ad method called Learnable distillation Attack Strategies and Evolvable Teachers Adversarial distillation(LdAS&ET-Ad).Firstly,a learnable distillation attack strategies generating mechanism is developed to automatically generate sample-dependent attack strategies tailored for distillation.A strategy model is introduced to produce attack strategies that enable adversarial examples(AEs)to be created in areas where the target model significantly diverges from the teachers by competing with the target model in minimizing or maximizing the Ad ***,a teacher evolution strategy is introduced to enhance the reliability and effectiveness of knowledge in improving the generalization performance of the target *** calculating the experimentally updated target model’s validation performance on both clean samples and AEs,the impact of distillation from each training sample and AE on the target model’s generalization and robustness abilities is assessed to serve as feedback to fine-tune standard and robust teachers *** evaluate the performance of LdAS&ET-Ad against different adversarial attacks on the CIFAr-10 and CIFAr-100 *** experimental results demonstrate that the proposed method achieves a robust precision of 45.39%and 42.63%against AutoAttack(AA)on the CIFAr-10 dataset for resNet-18 and MobileNet-V2,respectively,marking an improvement of 2.31%and 3.49%over the baseline *** comparison to state-of-the-art adversarial defense techniques,our method surpasses Introspective Adversarial distillation,the top-performing method in terms of robustne

关键词： Adversarial training adversarial distillation learnable distillation attack strategies teacher evolution strategy

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Journal of Institute of Control, robotics and systems 2024年第8期30卷 853-862页

作者： Park, Changhan Satellite System 1 Team Space R&D Center Hanwha Systems Co. Ltd Korea Republic of

To process large amounts of data due to the short revisit cycle characteristics of micro-satellite synthetic aperture radar (SAr) systems and to compensate for performance degradation due to weight reduction and miniaturization, the target identification must be improved through super-resolution (Sr) for low-resolution (Lr) satellite SAr images. In this paper, we generate Sr satellite SAr images using the real-enhanced Sr generative adversarial networks (real-ESrGAN) for Lr satellite SAr images and present the similarity of the peak signal-to-noise ratio (PSNr) and the structural similarity index measure (SSIM) for the segmentation with corresponding pairs based on key-points. SAr images are characterized by the location and intensity of major scattering points, unlike optical images. Therefore, it is necessary to understand the characteristics of the key-points detection method by considering the removal of clutter noise in the background and speckle noise around the target, outline, or boundary. Scale invariant feature transform (SIFT), speeded-up robust feature (SUrF), binary robust invariant scalable key-points (BrISK), and oriented features from an accelerated segment test and rotated binary robust independent elementary features (OrB) are used as key-points detection methods, and the segmentation is generated for a local area with corresponding pairs based on key-points using the random sample consensus (rANSAC) method. As a result of the experiment, in the Sr satellite SAr image, the PSNr in the segmentation with key-point-based corresponding pairs was high at the average 0.3850dB, and the SSIM was low at the average 0.0718, but when the background was included, the PSNr was maximum at 29.6937dB, and the SSIM was maximum at 0.5396. © ICrOS 2024.

关键词： Image segmentation

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development paradigms of cyberspace endogenous safety and security

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Science China(Information Sciences) 2022年第5期65卷 264-266页

作者： Jiangxing WU National Digital Switching System Engineering & Technological R&D Center

Scientifc interpretation of paradigm. The concept and theory of paradigm were first proposed by Thomas Kuhn, a famous American science philosopher, and were systematically described in his book “The Structure of Scie... 详细信息

关键词： cyberspace endogenous security ubiquitous problem unknown unknown security threats relatively-correct axiom dynamic heterogeneous redundancy architecture cyberspace endogenous safety and security development paradigm

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Super-resolution of SAr Target Images Using real-ESrGAN

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Journal of Institute of Control, robotics and systems 2024年第1期30卷 13-19页

作者： Park, Changhan Satellite System 1Team Space R&D Center Hanwha Systems Co. Ltd Korea Republic of

To identify small targets via deep learning from micro-satellite synthetic aperture radar (SAr) low-resolution (Lr) images, small-target learning data must be obtained by considering the concept of micro-satellite SAr operating systems. However, securing actual micro-satellite SAr small-target Lr images is difficult. Super-resolution (Sr) technology is necessary to improve target identification performance for an SAr Lr image. In this study, we obtained Sr results for SAr target and background Lr images, which were converted using real-ESrGAN. We utilized real-ESrGAN with a peak signal-to-noise ratio (PSNr)-oriented model that considered the noise characteristics of scattering points when SAr images were generated, to improve the identification of the SAr target Lr images. We also applied Sr to MSTAr SAr target and real satellite SAr images using bicubic interpolation, real-ESrGAN, real-ESrNet, and real-ESr models. Finally, we analyzed the PSNr and structural similarity (SSIM) for a similarity evaluation of the SAr Sr images. The experimental results revealed an average PSNr of 25.22 dB and SSIM of 0.68 compared to the original SAr images. This indicated the effectiveness of real-ESrGAN in removing subtle noise characteristics, owing to the more refined and high-resolution scattering points obtained with this method. © ICrOS 2024.

关键词： Synthetic aperture radar

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