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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Tim Brockmann Michael Rethfeldt Benjamin Beichler Frank Golatowski Christian Haubelt Institute of Applied Microelectronics and Computer Engineering University of Rostock Germany

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

WLAN Mesh Networks (WMNs) are a promising network architecture for IoT applications due to their self-healing and robust network formation capabilities. The IEEE 802.11s amendment standard integrates mesh functionality into the WLAN MAC layer, ensuring seamless peering and routing. Initially designed for testing, the Linux implementation of IEEE 802.11s includes basic peer link blocking mechanisms. Based on this, we present a new MAC address filtering approach for reliable topology control in WLAN mesh networks. Our modifications to the Linux kernel enable persistent link blocking and bidirectional link teardown, preventing the sporadic establishment of unwanted connections. Real-world experiments demonstrate the effectiveness of our approach.

关键词： Wireless LAN Mesh networks Linux Network architecture Routing Topology Reliability IEEE 802.11 Standard Standards Testing

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A low-fabrication-temperature, high-gain chip-scale waveguide amplifier

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Science China(Information Sciences) 2022年第6期65卷 247-255页

作者： Bo WANG Peiqi ZHOU Xingjun WANG Yandong HE State Key Laboratory of Advanced Optical Communication Systems and Networks Department of ElectronicsSchool of Electronics Engineering and Computer Science Peking University Institute of Microelectronics School of Electronics Engineering and Computer Science Peking University Frontier Science Center for Nano-optoelectronics Peking University Peking University Yangtze Delta Institute of Optoelectronics Peng Cheng Laboratory

The increasing prevalence of integrated on-chip optoelectronic devices has identified serious issues regarding inter-device transmission and coupling losses, highlighting an urgent need for on-chip waveguide amplifiers to compensate for these losses. Compared with other Er-based optical materials, erbium silicate is ideally suited to high-efficiency on-chip amplifiers and lasers because of its extremely high Er3+concentration(1022cm-3). Nevertheless, erbium silicate must be annealed above 1000℃ to crystallize and activate the Er3+, which damages other on-chip optoelectronic components and is not conducive to device ***, we report a low-fabrication-temperature, high-luminescence-efficiency gain material by adding Bi2O3to an erbium-ytterbium silicate mixed film. Our experiments demonstrate that the proposed film crystallizes at 600℃ while the activation of Er3+is also achieved, which is the lowest activation temperature of on-chip waveguide amplifier to our knowledge. This material forms the basis for a new chip-scale waveguide amplifier design, with a theoretical multi-energy-level model of Bi-Er-Yb in the mixed thin films used to analyze its signal enhancement properties. We achieve a peak on-chip gain of 23 dB in a 3.3-mm-long waveguide under the pump and signal powers of 300 mW and 1 μW, respectively. These results highlight the potential of the proposed material for realizing on-chip amplifiers and lasers for large-scale nanophotonic integrated circuits.

关键词： photonic circuit integration low fabrication temperature high gain rare earth material waveguide amplifier

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HPViT: A Hybrid Visual Model with Feature Pyramid Transformer Structure 8

HPViT: A Hybrid Visual Model with Feature Pyramid Transforme...

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8th International Conference on Control, Robotics and Cybernetics, CRC 2023

作者： Li, Jiaxiong Xiao, Hongguang Li, Yongzhou Changsha University of Science & Technology Faculty of Computer and Communication Engineering Changsha China Institute of Microelectronics Chinese Academy of Sciences Beijing Chaoyang China

ISBN: (纸本)9798350330588

Recently,the fusion design of Transformer and CNN has significantly improved the efficiency and accuracy of the model. In this work, we propose a hybrid backbone network model-Hybrid Pyramid Vision Transformer(HPViT), which can be used for dense prediction tasks. Compared with the ViT image classification design, HPViT introduces the Transformer structure into CNN and also adopts a pyramid structure, which allows various dense prediction tasks, detection and segmentation tasks, etc. Compared with ViT, HPViT has the following advantages: (1) Compared with the high computational complexity and high memory usage of ViT, HPViT can not only train high-resolution images for density division to capture enough detail information, but also converge faster, occupy less memory, and reduce the computation brought by the Transformer structure through the pyramid structure;(2) HPViT has the advantages of CNNs and Transformer and can be used as a general backbone. (3) Experiments show that HPViT performs well in image classification and object detection, with a top1 accuracy rate of 81.2% on the ImageNet1k dataset. In the task of object detection, RetinaNet+HPViT finetuned on COCO for 12 rounds reached 34.3%AP, while RetinaNet+ResNet50 only had 22.9%AP. © 2024 IEEE.

关键词： Object detection

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Approximative Sensor Data Resynchronization for Wireless Burst Transmission Protocols

Approximative Sensor Data Resynchronization for Wireless Bur...

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IEEE International Workshop on Factory Communication Systems (WFCS)

作者： Robert Hauser Florian Grützmacher Christian Haubelt Institute of Applied Microelectronics and Computer Engineering University of Rostock Rostock Germany

ISBN: (数字)9798350319347

ISBN: (纸本)9798350319354

We present BurstLR, a novel online resynchronization method for wireless burst transmitted sensor signals. Instead of clock alignment, our method uses approximative timestamp realignment by estimating the relation between sensor clock and receiver clock at the receiver. Only the sensor and arrival timestamps of samples are required. Thus, no additional communication as well as hardware is needed. In our experiments with two wireless sensor nodes (Nicla Sense ME), we achieved a reduction of the average quadratic distance with dynamic time warping between resynchronized acceleration signals that recorded the same arbitrary human motion trajectory by 54.95 % to 76.91 % compared to signals that used the arrival times for synchronization.

关键词： Wireless communication Wireless sensor networks Protocols Dynamics Receivers Production facilities Hardware

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A Novel OPC UA PubSub Protocol Binding Using MQTT for Sensor Networks (MQTT-SN)

A Novel OPC UA PubSub Protocol Binding Using MQTT for Sensor...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Michael Nast Hannes Raddatz Frank Golatowski Christian Haubelt University of Rostock Institute of Applied Microelectronics and Computer Engineering Rostock Germany

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

In this paper, we present the integration of MQTT for Sensor Networks (MQTT-SN) into OPC Unified Architecture (OPC UA) as a novel publish/subscribe (PubSub) protocol binding in order to enhance the industrial communication stack. By leveraging the lightweight MQTT-SN protocol, which is currently not considered in the architecture, we improve OPC UA's capability for high-frequency, low-latency messaging, which is essential for Industrial Internet of Things (IIoT) applications. We discuss related work and describe the design and implementation in detail. Our hybrid approach combines the rich data modeling and security capabilities of OPC UA with the communication efficiency of MQTT-SN, providing a scalable solution for real- time data management in industrial automation systems.

关键词： Protocols Industrial communication Real-time systems Data models Security Low latency communication Manufacturing automation Industrial Internet of Things

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CPNet: Controllable Point Cloud Generation Network Using Part-Level Information 21st

CPNet: Controllable Point Cloud Generation Network Using Par...

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21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024

作者： Qin, Shun Han, WenZhuo Zhang, Jinlai Yang, Wenqi Gao, Kai Li, Jin College of Computer and Communication Engineering Changsha University of Science and Technology Changsha China College of Automotive and Mechanical Engineering Changsha University of Science and Technology Changsha China Microelectronics and SolidState Electronics Nanjing Institute of Electronic Devices Nanjing China

ISBN: (纸本)9789819601219

The generation of 3D point clouds with controllable part-level details remains a challenging task in the field of computer graphics and vision. Existing methods often produce monolithic point clouds, lacking the flexibility for part editing and transformation necessary for various applications such as object modeling, animation, and scene reconstruction. To address this limitation, we introduce the Controllable Point Cloud Generation Network (CPNet), a novel probabilistic generative model tailored for part-level point cloud generation. Our approach consists of three main components: a Segment Paerts (SP) module that establishes the foundational learning for parts, a Part selector and Transformation sampler that models the distribution of points probabilistically, and a Cross-Attention Diffusion (CAD) module with special attention mechanism designed to denoise and refine the generated point cloud. By decomposing the point cloud at the part-level, CPNet enables the generation of point clouds that can be controlled through part-level editing and replacement. The proposed method achieves state-of-the-art (SOTA) results in terms of point cloud quality and offers unparalleled control over the generation process. We demonstrate the effectiveness of CPNet through extensive experiments and comparisons with existing methods, highlighting its potential for applications in computer graphics, robotics, and other domains requiring high-quality, controllable 3D point cloud data. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Generative adversarial networks

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Localization in 6G: A Journey along existing Wireless Communication Technologies

Localization in 6G: A Journey along existing Wireless Commun...

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IEEE International Workshop on Factory Communication Systems (WFCS)

作者： Benjamin Rother Nico Kalis Christian Haubelt Frank Golatowski Institute of Applied Microelectronics and Computer Engineering University of Rostock Rostock Germany

ISBN: (数字)9798350319347

ISBN: (纸本)9798350319354

In this study, the authors examine the technical challenges associated with wireless localization algorithms in indoor environments. The paper presents an in-depth analysis of various wireless communication technologies, meticulously summarizing their salient features and their implications within the broader scope of research. The outcomes of this study contribute significant technical insights into the capabilities and limitations of Joint Communications and Sensing (JCAS) technology. These insights are pivotal for advancing seamless data exchange and achieving comprehensive connectivity in the realm of 6G wireless communication networks, particularly those that integrate localization functionalities. The detailed findings of this research are poised to inform and influence subsequent technical research and developmental strategies in this specialized field.

关键词： Wireless communication 6G mobile communication Location awareness Wireless sensor networks Technological innovation Transforms Sensors

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Improving the Real-Time Capability of MQTT for Sensor Networks (MQTT-SN) Using PREEMPT_RT

Improving the Real-Time Capability of MQTT for Sensor Networ...

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IEEE International Workshop on Factory Communication Systems (WFCS)

作者： Michael Nast Michael Rethfeldt Frank Golatowski Christian Haubelt Institute of Applied Microelectronics and Computer Engineering University of Rostock Rostock Germany

ISBN: (数字)9798350319347

ISBN: (纸本)9798350319354

Real-time capability plays an important role in modern factory communication systems. However, protocols such as MQTT, CoAP, and MQTT-SN, which are increasingly finding their way into industrial environments alongside industrial-grade protocols such as OPC UA and DDS, cannot fulfill the timing requirements without further optimization. In this paper, we present extensions of MQTT-SN to improve the real-time behavior in combination with PREEMPT_RT, which provides different real-time mechanisms for the Linux kernel. We address general, operating system-based, and hardware-specific optimizations. Their benefits are demonstrated by measurements in a practical testbed. The proposed extensions reduce delay and jitter, but do not aim to guarantee an upper bound on end-to-end delay.

关键词： Protocols Upper bound Linux Jitter Real-time systems Production facilities Delays

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Alleviating the Equilibrium Challenge with Sample Virtual Labeling for Adversarial Domain Adaptation 24

Alleviating the Equilibrium Challenge with Sample Virtual La...

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32nd ACM International Conference on Multimedia, MM 2024

作者： Shi, Wenxu Zheng, Bochuan Institute of Artificial Intelligence China West Normal University China School of Microelectronics and Communication Engineering Chongqing University China School of Computer Science China West Normal University China

ISBN: (纸本)9798400706868

Many domain adaptive object detection (DAOD) methods employ domain adversarial training to align features and mitigate the domain gap. In this approach, a feature extractor is trained to deceive a domain classifier, thereby aligning feature distributions. However, the domain classifier's discrimination capability can easily fall into a local optimum due to the equilibrium challenge, hindering the effective training of the feature extractor. In this work, we propose an efficient optimization strategy called Virtual-label Fooled Domain Discrimination (VFDD), which revitalizes the domain classifier during training using virtual domain labels. Such virtual label makes the separable distributions less separable, and thus leads to a more easily confused domain classifier, which in turn further drives feature alignment. Particularly, we introduce a novel concept of virtual domain label for the unaligned samples and propose the VirtualH -divergence to overcome the problem of falling into local optimum due to the equilibrium challenge. VFDD is orthogonal to most existing DAOD methods and can be integrated as a plug-and-play module to enhance these models. Theoretical insights and experimental analyses demonstrate that VFDD improves many popular baselines and surpasses recent unsupervised DAOD models. © 2024 ACM.

关键词： Adversarial machine learning

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Identification and Containment of Intrusion Attacks in an IIoT Network based on Machine Learning and Blockchain Technology 2

Identification and Containment of Intrusion Attacks in an II...

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2nd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024

作者： Motamarri, Nikhita Satish, G. Uma, H.R. Barve, Amit Patil, Harshal Taqui, Syed Noeman Potti Sreeramulu Chalavadhi Mallikarjuna Rao College of Engineering and Technology Department of Computer Science and Engineering Vijayawada Andhra Pradesh 520001 India Sree Dattha Institute of Engineering and Science Department of Electrical and Electronics Engineering Sheriguda Ibrahimpatnam Telangana Hyderabad501510 India BGS Institute of Technology Adichunchanagiri University Department of Computer Science and Engineering Mandya Karnataka 571448 India Parul Institute of Engineering and Technology Parul University Department of Computer Science and Engineering Gujarat 391760 India Department of Computer Science and Engineering Pune Maharashtra 412115 India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of VLSI Microelectronics Tamilnadu Chennai602105 India

ISBN: (纸本)9798350327533

The Blockchain technology is leveraged to establish a secure and tamper-resistant decentralized ledger, providing a transparent and immutable record of all transactions and communications within the IoT network. By implementing smart contracts, we ensure the integrity and authenticity of device interactions, mitigating the risk of unauthorized access and data manipulation. Complementing the Blockchain, Machine Learning (ML) algorithms are employed to analyze and identify patterns indicative of malicious activities. The proposed system employs anomaly detection models, trained on historical data, to continuously monitor and adapt to emerging threats. This dynamic threat detection mechanism enhances the ability of the IoT network to recognize and respond to sophisticated intrusion attempts in real-Time. Furthermore, the proposed framework incorporates a decentralized identity management system using Blockchain, ensuring that only authenticated and authorized devices can participate in the IoT network. This not only safeguards against unauthorized access but also protects the privacy and integrity of the data generated and exchanged by IoT devices. To validate the effectiveness of our approach, we conducted experiments in a simulated IoT environment, considering various attack scenarios. The results demonstrate a significant improvement in the overall security posture of the IoT network, with reduced false positives and swift identification of intrusions. In conclusion, the integration of Blockchain and ML techniques provides a robust and adaptive defense mechanism for IoT device networks. This holistic approach addresses the challenges of security, privacy, and data integrity, paving the way for a more resilient and trustworthy IoT ecosystem in the face of evolving cyber threats. © 2024 IEEE.

关键词： Blockchain Integrity Internet of Things (IoT) Intrusion Intrusion Detection System Machine Learning Security

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