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2024 Multimedia University engineering Conference, MECON 2024

作者： Tahir, H. Ahmed Nabi, Fahad Tariq, Muhammad Ziad Khan, Ahmad Fasih Mahmud, Azwan Multimedia University Faculty of Engineering Cyberjaya Malaysia University of Kiel Department of Electrical Engineering & Information Technology Kiel Germany Department of Computer Science SZABIST University Islamabad Pakistan Roots School System Islamabad Pakistan

ISBN: (纸本)9798331530747

This paper outlines the merging of Explainable Artificial Intelligence (XAI) with Open Radio Access Network (O-RAN) and space communication systems. The usage of AI drives decision-making in critical domains of telecommunications and space explorations requires transparency and interpretability. However, traditional AI models often operate as 'black boxes,' making it difficult to understand their decision-making processes. This lack of explainability poses significant risks, including misinterpretation of signals, undetected anomalies, and erroneous decision-making, which can compromise the integrity of communication systems. Specifically, the challenges include accurately distinguishing between legitimate signals and attacks in anti-jamming scenarios, understanding the behaviour of complex models like LSTM in traffic prediction, and ensuring the reliability of telemetry data despite errors and noise. Integration of XAI techniques within O-RAN architecture and space communication protocols can ensure trust, reliability and safety in AI-enabled systems. This paper investigates the opportunities and challenges of incorporating XAI in O-RAN and space communications. Additionally, it presents the implications of XAI, the need for interpretability in autonomous spacecraft operations, anomaly detection and decision support for mission-critical tasks. By bridging the gap in AI transparency and advanced communication technology, this paper aims to present a detailed analysis of implemented AI and Machine Learning (ML) in the telecommunication domain. It also presents the challenges currently faced in the intersection of XAI and communication. Use cases of XAI in the domain of Open Radio Access Network and Space Communications in light of LIME and SHAP techniques were presented to give a hypothetical modelling for future experimentation to provide local and global interpretation and explanations for the currently employed AI/ML models in the respective domains. Overall, this

关键词： Radio access networks

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Single-ended Distributed Vibration Sensing Using Forward Polarization Detection of CW Light Based on (1+8) Multicore Fiber

Single-ended Distributed Vibration Sensing Using Forward Pol...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Du, Haoze He, Huan Zhao, Can Zhang, Mingming Wu, Hao Tang, Ming National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China

A single-ended distributed vibration sensing system based on 3km 1+8 MCF is proposed and experimentally demonstrated. The vibration is located by calculating the time delay between the two cores by cross-correlation a...

ISBN: (纸本)9781957171258

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The Ocean Current Measurement Signal Processing Method Based on Squinted Dual-antenna Interferometric SAR 6

The Ocean Current Measurement Signal Processing Method Based...

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6th International Conference on Electronics technology, ICET 2023

作者： Yin, Jianfeng Zhang, Qingjun He, Zongbo Liu, Jie Wang, Aiming Yan, He Fang, Qingyuan Beijing Institute of Spacecraft System Engineering China Aerospace Science and Technology Corporation Beijing China Institute of Remote Sensing Satellite China Aerospace Science and Technology Corporation Beijing China Nanjing University of Aeronautics and Astronautics School of Electronic and Information Engineering Nanjing China University of Electronic Science and Technology of China School of Information & Communication Engineering Chengdu China

ISBN: (纸本)9798350337693

The signal processing method of ocean current measurement based on squinted dual-antenna interferometric SAR (InSAR) is studied in this paper. There is an along-track baseline component in the imaging geometry of squinted cross-track InSAR, which can be used for ocean current measurement and this mode can extend the application efficiency of DEM acquisition InSAR. In this context, the principle of ocean current velocity measurement method based on squinted cross-track InSAR is introduced. The signal processing method and procedure are studied. BP (Back Projection) algorithm is adopted in SAR imaging, and the flat ground interferometric phase expression is derived. The effectiveness of the proposed method is verified by echo simulation and data processing. © 2023 IEEE.

关键词： Electric current measurement

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Few-Shot Gearbox Fault Diagnosis Based on Semi-Supervised Prototypical Network and Contrastive Learning

Few-Shot Gearbox Fault Diagnosis Based on Semi-Supervised Pr...

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2023 China Automation Congress, CAC 2023

作者： Cheng, Shulie Liang, Yingjie Ping, Zuowei Liao, Xuechao Wang, Maolin Zhang, Yong School of Information Science and Engineering Wuhan University of Science and Technology Wuhan China Naval University of Engineering National Key Laboratory of Science and Technology on Vessel Integrated Power System Wuhan China School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9798350303759

Due to the scarcity of labeled faulty data in industrial practice, fault diagnosis models often face challenges related to overfitting and limited accuracy. This article introduces a novel solution to tackle the problem - a fault diagnosis method that leverages a combination of a semi-supervised prototype network and contrastive learning. Firstly, a limited number of labeled samples is employed to construct pairs of positive and negative samples. And the training method of contrastive learning is used to provide appropriate initial parameters for the autoencoder. Secondly, the autoencoder is employed as a feature mapping function within the prototype network and obtains the prototype using a limited number of labeled samples. Finally, a prototype refinement method fine-tunes the prototype through unlabeled data, reducing the impact of anomalous data and obtaining a more stable and accurate prototype. The effectiveness of the proposed method is evaluated using gearbox data as a validation dataset. Through comparative analysis with other methods, the results demonstrate that the proposed approach achieves superior diagnostic accuracy. © 2023 IEEE.

关键词： Failure analysis

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GMBox: Box-Supervised Remote Sensing Images Instance Segmentation Based on Multi-Scale Gradient Prior Fusion and Mask Correction 11

GMBox: Box-Supervised Remote Sensing Images Instance Segment...

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11th International Conference on information systems and Computing technology, ISCTech 2023

作者： Qi, Ying Hou, Wei Yang, Liuqing Yan, Yiming Harbin Engineering University College of Information and Communication Engineering Harbin China Harbin Aerospace Star Data System Science and Technology Co. Ltd. Harbin China

ISBN: (纸本)9798350342406

In the field of remote sensing, instance segmentation of buildings helps to accurately extract their position, shape, and size information. However, instance segmentation requires pixel by pixel annotation, which consumes a lot of manpower and time. In order to avoid complex pixel level annotation work, this paper proposes a boundary box supervised instance segmentation network GMBox, which is composed of multi-scale gradient prior fusion and mask correction module, and can achieve instance segmentation of buildings using only the annotation of the target box. GMBox uses multi-scale prior fusion to replace pixel by pixel annotation information to guide mask segmentation. Furthermore, in order to avoid the issue of incomplete masks, we propose a mask correction module to supplement missing mask information. Our method achieved state-of-the-art segmentation performance on a multi-scale remote sensing building dataset, significantly outperforming previous weakly supervised methods. © 2023 IEEE.

关键词： Pixels

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DV2BR: A Dual-View 3D Building Reconstruction Method from Aerial Images 11

DV2BR: A Dual-View 3D Building Reconstruction Method from Ae...

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11th International Conference on information systems and Computing technology, ISCTech 2023

作者： Zhou, Weikun Ge, Baoyu Cao, Zhenhe Yan, Yiming Haerbin Engineering University Heu College of Information and Communication Engineering Harbin China Harbin Aerospace Star Data System Science and Technology Co. Ltd Harbin China

ISBN: (纸本)9798350342406

Aiming at the problem of how to achieve higher-quality three-dimensional (3D) modelling of buildings using optical remote sensing images under the scarcity of remote sensing resources, a 3D implicit modelling network based on dual-view is proposed. In order to better capture the shape and structural features of the building, we introduce an attention mechanism in the coding stage to improve the feature extraction capability. To further improve the encoder's ability to extract global features, we also designed a multi-view feature fusion module. In the decoding stage, we introduce an implicit representation based on the Symbolic Distance Field (SDF), which allows for finer details. Sufficient experiments demonstrate that compared with previous 3D modelling methods, our proposed method provides substantial improvements in both the accuracy of the generated building model and the restoration of the details. © 2023 IEEE.

关键词： 3D modeling

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Zero sample image anomaly detection guided by multi-modal prompts 9

Zero sample image anomaly detection guided by multi-modal pr...

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9th International Conference on Intelligent Informatics and BioMedical sciences, ICIIBMS 2024

作者： Wang, Jinhong Xu, Xinying Xie, Gang Wang, Kai Yuan, Xiaohu Taiyuan University of Technology College of Electrical and Power Engineering Taiyuan China Taiyuan University of Science and Technology School of Electronic Information Engineering Taiyuan China YanTai University School of Physics and Electronic Information Yantai China Qiyuan Lab Beijing China

ISBN: (纸本)9798350363043

Large visual language models such as CLIP show strong zero sample recognition capability in anomaly detection tasks. It learns object-independent prompts through the guidance of prompt engineering, fine-tunes CLIP to anomaly detection tasks, and shows good generalization ability. However, prompt engineering usually needs to design hundreds of prompts, which increases the difficulty of designing prompts, and can not be used well for multi-class anomaly detection. To solve these problems, this paper proposes a zero sample anomaly detection method guided by multi-modal prompt learning. By introducing multimodal prompts for text branches and visual branches, the consistency of text and visual branch representations is improved, ensuring that the two modes learn cooperatively from each other. In addition, a uniform domain-aware contrast state template is designed for fine-grained visual language matching. For imagelevel and pixel-level anomaly detection, this method achieves better performance than non-prompt learning in zero-sample anomaly detection. © 2024 IEEE.

关键词： Contrastive Learning

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A Biomass-Based Hydrogel Evaporator Modified Through Dynamic Regulation of Water Molecules:Highly Efficient and Cost-Effective

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Energy & Environmental Materials 2023年第3期6卷 20-30页

作者： Boqiu Luo Jin Wen Hao Wang Size Zheng Rui Liao Wenjing Chen Omid Mahian Xiaoke Li College of Materials and Chemistry&Chemical Engineering Chengdu University of TechnologyChengdu 610059China School of Optoelectronic Science and Engineering University of Electronic Science and Technology of ChinaChengdu 611731China College of Resources and Environment Chengdu University of Information TechnologyChengdu 610225China School of Chemical Engineering and Technology Xi’an Jiaotong UniversityXi’an 710061China Department of Chemical Engineering Imperial College LondonLondon SW72AZUK Renewable Energy and Micro/Nano Sciences Lab Department of Mechanical EngineeringFaculty of EngineeringFerdowsi University of MashhadMashhad 91779-48974Iran

Solar-driven hydrogel evaporator used for water purification demonstrates great potential in seawater desalination and domestic sewage ***,much uncertainty still exists about the most efficient design to obtain cost-effective drinkable *** this paper,a natural rich biomass Nicandra physalodes(Linn.)*** was introduced into the polyvinyl alcohol network to control the water distribution during evaporation and build a low-cost hybrid hydrogel solar evaporator with a total material cost of$7.95 m^(−2).The mixed evaporator works stably in a long-span acid–base range(pH 1–14)and salinity range(0–320 g kg^(−1)).Its daily water purification capacity can reach 24.4 kg m^(−2)with a water purification capacity of 3.51 kg m^(−2)h^(−1)under *** paper provides a new possibility for a highly efficient and cost-effective water desalination system with guaranteed water quality by focusing on the dynamic regulation of water molecules at the evaporation interface.

关键词： desalination hydrogels interfacial evaporation polysaccharide solar energy

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Research on Enhanced Perception and Attention-Driven Person Re-Identification 20

Research on Enhanced Perception and Attention-Driven Person ...

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20th International Conference on Natural Computation, Fuzzy systems and Knowledge Discovery, ICNC-FSKD 2024

作者： Wu, Cancan Li, Dong Zhang, Zhi College of Computer Science and Technology Wuhan University of Science and Technology Hubei Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Hubei Wuhan430065 China Big Data Science and Engineering Research Institute Wuhan University of Science and Technology Hubei Wuhan430065 China

ISBN: (纸本)9798350356328

When matching similarity among pedestrians in images, pedestrian re-identification algorithms are often disturbed by occlusions. A typical tactic is to improve the robustness of occlusion features in the model. However, this approach neglects the noise introduced by other pedestrians in the image, leading to limited learning of relevant information between images. To address these issues, this paper introduces a pedestrian re-identification model that leverages perception-enhanced and attention mechanisms. By enhancing the perception of non-pedestrian noise and erasing non-pedestrian features, we then employ a cross-attention mechanism to subtly embed global and local features for finer feature recognition. Finally, through context attention, we learn the interaction between pedestrian images to improve re-identification accuracy. Results from studies performed on the Market-1501, CUHK03-D, and Duke-ReID datasets indicate that the suggested model surpasses leading contemporary models regarding Rank-1 scores and mean Average Precision (mAP), while maintaining good robustness. © 2024 IEEE.

关键词： Reamers

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Covid-19 systematic Overview Decentralization Using Blockchain technology 11

Covid-19 Systematic Overview Decentralization Using Blockcha...

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11th International Conference on Cyber and IT Service Management, CITSM 2023

作者： Surono Riza, Bob Subhan Ma'mun, Andri Ramadan, Ahmad Rosdiana Yusuf, Natasya Aprila Trisakti University Department of Engineering Tangerang Indonesia University of Potensi Utama Department of Information System Sumatera Utara Indonesia Banten Regional Revenue Agency Department of Science and Technology Tangerang Indonesia University of Raharja Department of Science and Technology Tangerang Indonesia University of Raharja Departement of Information System Tangerang Indonesia

ISBN: (纸本)9798350305968

In the face of the Covid-19 pandemic, technological innovations continue to emerge and play an important role in creating a platform to manage the Pandemic. Blockchain technology is a distributed technology as an innovative tool today developed using a peer-to-peer network to distribute data to all participants for storage. This study aims to examine the issue of renewing the Blockchain technology research platform applied in the health sector, namely the Covid-19 pandemic. The method used is reporting the selected items for the systematic Review and Meta-Analysis Guidelines. In the Google Scientist and Microsoft databases, we found a significant index of peer-reviewed research articles published in December 2021 investigating the application of Blockchain technology. The drawbacks of this research are Blockchain integration with existing HIS, namely: client obstruction, high computational power requests, and execution costs. This research is expected to evaluate the shortcomings of previous research for innovation in future research. © 2023 IEEE.

关键词： Blockchain

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