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12th IEEE conference on systems, Process and Control, ICSPC 2024

作者： Lim, Kian Ming Lee, Chin Poo Zahisham, Zaim Lim, Jit Yan Mogan, Jashila Nair University of Nottingham Ningbo China School of Computer Science Zhejiang Province China Xi'an Jiaotong-Liverpool University School of AI and Advanced Computing Jiangsu Province China Multimedia University Melaka Faculty of Info. Science and Technology Malaysia Multimedia University Melaka Faculty of Info. Science & Technology Malaysia

ISBN: (纸本)9798350391398

Hyperspectral image classification is essential in remote sensing applications, aiming to accurately categorize land cover or materials depicted in hyperspectral data. This paper introduces PCA-ViT, a novel approach for hyperspectral image classification that integrates Principal Component Analysis (PCA) with the Vision Transformer (ViT) architecture. PCA serves as a spectral dimension reduction technique to alleviate the curse of dimensionality inherent in hyperspectral data, transforming the original data into a more manageable format. The transformed data are then input into the ViT model, which utilizes self-attention mechanisms to capture spatial dependencies among image patches, avoiding traditional convolutional layers. Extensive experiments on benchmark hyperspectral datasets, including Indian Pines, University of Pavia, and Salinas Scene, demonstrate PCA-ViT's superior performance. It achieves 99.95% accuracy on Indian Pines, 100% on University of Pavia, and 100% on Salinas Scene, showcasing the effectiveness of transformer-based architectures in hyperspectral image classification tasks. © 2024 IEEE.

关键词： Image analysis

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Composite and Stretchable Silicone for Niche Profiling applications

Composite and Stretchable Silicone for Niche Profiling Appli...

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2024 IEEE sensors conference

作者： Panchaml, Padmanabh Pundrikaksha Mukherjee, Anupam Liu, Teng-Chung Lin, Kun-Han Chiu, Wen-Hsin Liu, Chiang Lo, Cheng-Yao Natl Tsing Hua Univ Inst NanoEngn & MicroSyst Hsinchu 300044 Taiwan Gen Silicones Dept Mkt 9-1 Lane 52Nan Kang St Hsinchu 300104 Taiwan Natl Tsing Hua Univ Dept Kinesiol Hsinchu 300044 Taiwan Univ Taipei Grad Inst Sports Equipment Technol Taipei 111036 Taiwan Natl Tsing Hua Univ Dept Power Mech Engn Hsinchu 300044 Taiwan

ISBN: (纸本)9798350363524;9798350363517

In this work, we developed a silicone and polyurethane (PU)-based composite, which supports stretchable applications. Through material survey, comparison, and mechanical characterization, it was proved that the roll-to-roll manufactured product shows cohesive bonding force over 2 Kg/cm(2), outperforming existing commercialized ones. Eight composite formulations were evaluated through ASTM D5459-95 standard, which indicated outstanding elastic recovery (between 89.72% and 93.65%), permanent deformation (between 6.35% and 10.28%) and stress retention (between 68.34% and 92.32%). In addition, a three-dimensional profiling that incorporated the developed composite further demonstrated its supportiveness on advanced sensing systems that require material stretchability.

关键词： Composite Joule heating polyurethane sensor silicone

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Dual-functional Internet of Meta-material Things Networks: Integrated Sensing and Communication

Dual-functional Internet of Meta-material Things Networks: I...

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IEEE conference on Global Communications (IEEE GLOBECOM) - Intelligent Communications for Shared Prosperity

作者： Xu, Zhiquan Liu, Xu Zhang, Hongliang Song, Lingyang Peking Univ Sch Elect Engn & Comp Sci Beijing Peoples R China Peking Univ Sch Elect Beijing Peoples R China Peking Univ Sch Elect & Comp Engn Shenzhen Grad Sch Shenzhen Peoples R China

ISBN: (纸本)9798350310900

The Internet of Meta-material Things (Meta-IoT) has significant potential for future IoT applications due to its ability to function without a battery and its ease of maintenance. Specially, the environmental information can be obtained by analyzing the frequency response of Meta-IoT sensor from the reflected signals. Through the reflection, these Meta-IoT sensors can also provide additional paths for improving communication performance while performing sensing. In this paper, we design a dual-functional Meta-IoT network for integrated sensing and communication (ISAC), i.e., the Meta-IoT sensors can sense environmental conditions and facilitate communication simultaneously. However, ensuring the quality of both sensing and communication for multiple users is not trivial since the impact of the sensor structure on sensing and communication at the same time. Moreover, a customized beamforming scheme is required to balance the performance of two functions. To address these challenges, we optimize the sensor structure and the transmit beamforming. Simulation results show that the communication performance can be significantly improved with the proposed scheme while the sensing performance is guaranteed.

关键词： Integrated sensing and communication MetaIoT meta-material sensor

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On a Hybrid BiLSTM-GCNN-Based Approach for Attack Detection in SDN 25

On a Hybrid BiLSTM-GCNN-Based Approach for Attack Detection ...

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25th IEEE International conferences on High Performance Computing and Communications, 9th International conference on Data Science and systems, 21st IEEE International conference on Smart City and 9th IEEE International conference on Dependability in sensor, Cloud and Big Data systems and applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Chen, Zhulian Hou, Aiqin Wu, Chase Q. Qu, xinji Wang, Yukun Ru, Le School of Information Science and Technology Northwest University Shaanxi Xi'an710127 China New Jersey Institute of Technology Department of Data Science NewarkNJ07102 United States

ISBN: (纸本)9798350330014

Software-Defined Networking (SDN) is a promising technology for the future Internet. However, the SDN paradigm opens the door to new attack vectors that do not exist in traditional networks, such as flow table overflow attacks and flow rule injection attacks, which traditional intrusion detection systems are no longer sufficient to identify. To address this problem, we propose a new method that uses deep learning for attack detection in an SDN environment. In this method, we first utilize fisher score to remove insignificant features, then design a network model combining bi-directional long short-term memory network (BiLSTM) and gated convolutional neural network (GCNN) to capture the spatio-temporal features of network traffic, and finally use a fully connected layer to perform seven classifications of data. We choose focal loss as the loss function due to the imbalance of samples. The proposed model is evaluated based on the InSDN dataset, which is the latest IDS dataset developed specifically for SDN environments, and the CIC-IDS2017 dataset. The results show that the proposed model improves the performance for anomaly detection and achieves an accuracy of 99.80% and 98.85% on the InSDN and CIC-IDS2017 datasets, respectively. This level of detection accuracy provides great confidence in protecting SDN networks from anomalous traffic. © 2023 IEEE.

关键词： Intrusion detection

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AN AC-DC COUPLED IMPEDANCE MODEL AND STABILITY ANALYSIS FOR MORE ELECTRIC AIRCRAFT

AN AC-DC COUPLED IMPEDANCE MODEL AND STABILITY ANALYSIS FOR ...

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2024 CSAA/IET International conference on Aircraft Utility systems, AUS 2024

作者： Zhang, Tieyan Gao, Fei Gu, Chunyang Zhang, Boshen Chen, Jiawei Chen, Jie Department of Electrical Engineering Shanghai Jiao Tong University Shanghai China Advanced Electrical Machine Drive Research Center Yongjiang Laboratory Ningbo China College of Automation Chongqing University Chongqing China College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China

High voltage DC systems have become one of the dominant electrical power system architectures for future applications in more electric aircraft. Accurate model and stability analysis of these systems are crucial. However, past studies typically use the DC impedance model, which may overlook some system characteristics. Additionally, the impedance model needs repetitive adjustment as the source side and the load side change. In this paper, an AC-DC coupled impedance model is proposed, which can model the overall system into submodules. The resulting converter impedance is independent of load and source-side parameters, which means that changes on the AC and DC side have no effect on the converter impedance model. Furthermore, this model is more accurate as it includes AC, DC, and AC-DC coupled terms, better aligning with actual onboard characteristics. The modelling process, frequency sweep verification, and stability analysis in MATLAB/Simulink are provided in this paper. © The Institution of Engineering & Technology 2024.

关键词： Aircraft power systems

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An Energy Efficient Clustering for Underwater Acoustic sensor Networks using 6G Technology 5

An Energy Efficient Clustering for Underwater Acoustic Senso...

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5th IEEE International conference on Recent Trends in Computer Science and Technology, ICRTCST 2024

作者： Siddiqui, Shams Tabrez Hashmi, Syed Ghyasuddin Ali, Mohammed Maqsood Syed, Ziauddin Qidwai, Khalid Ali Salim, Abu Jazan University College of Engineering and Computer Science Department of Computer Science Jazan Saudi Arabia Applied College Jazan University Department of Business Administration Jazan Saudi Arabia

ISBN: (纸本)9798350351378

These underwater Acoustic sensor Networks (UWSNs) present unique challenges due to the harsh and dynamic underwater environment, making efficient communication protocols essential for their operation. This paper introduces an innovative Energy Efficient Clustering Routing Protocol (EECRP) specifically designed for UWSNs, leveraging the advancements of 6G technology. EECRP employs a distributed clustering mechanism and energy-efficient routing strategy to optimize energy consumption, prolong network lifetime, and enhance communication reliability. The protocol integrates with 6G technologies, such as terahertz communication and quantum communication security, to further enhance performance and security in UWSNs. Through simulation and comparative analysis, EECRP demonstrates superior performance compared to existing routing protocols in terms of energy efficiency, throughput, and scalability. EECRP's contributions lie in its novel approach to routing in UWSNs, emphasizing energy efficiency, sustainability, and integration with advanced technologies. This research paves the way for the adoption and deployment of EECRP in various underwater applications, facilitating scientific research, environmental monitoring, and technological innovation in underwater communication systems. © 2024 IEEE.

关键词： Scalability

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Integrating KLV Metadata with UAV Motion Imagery and Geo-Tagging for Enhanced GIS Playback 3

Integrating KLV Metadata with UAV Motion Imagery and Geo-Tag...

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3rd International conference for Advancement in Technology, ICONAT 2024

作者： Sakshi Gupta, Charu Patra, Tushar Kanti Bharat Electronics Limited Central Research Laborartory Uttar Pradesh India

ISBN: (纸本)9798350354171

With the growth of motion imagery, the ability to visually analyze video data and extract key features has advanced significantly. This technology incorporates essential geo-tagging, sensor, and platform orientation data into the video stream, providing geographic context for viewing and analysis. Recently, the use of multiple drones for detection and rescue operations has surged. These services leverage high-speed 5G networks to capture 4 K videos, processed through MEC (Mobile Edge Computing) servers for functions such as object detection. This paper focuses on reading, extracting, and interpreting metadata embedded in KLV Tags, associating location data with spatio-temporal motion imagery. The Precision Time Stamps of the MISP Time System in the metadata help correlate motion imagery with metadata, overlaying synchronized imagery on GIS at the respective location. The process involves reading the KLV Tag video stream, extracting KLV Tags in Hex format, converting them to text, and interpreting them using the MISB format. The system filters required information from the tags to associate location, extent of video frames, and sensor location with image frames of archived video based on precision time stamps. Geographical boundaries of video frames are overlaid on GIS, synchronizing spatio-temporal motion imagery with location metadata, enhancing the utility of motion imagery in various applications. © 2024 IEEE.

关键词： 5G mobile communication systems

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A Review on Attack Graph Analysis for IoT Vulnerability Assessment: Challenges, Open Issues, and Future Directions

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IEEE ACCESS 2023年 11卷 44350-44376页

作者： Bin Hamed Almazrouei, Omar Saif Musabbeh Magalingam, Pritheega Hasan, Mohammad Kamrul Shanmugam, Mohana Univ Teknol Malaysia Razak Fac Technol & Informat Adv Informat Dept Kuala Lumpur 54100 Malaysia Univ Kebangsaan Malaysia Fac Informat Sci & Technol Ctr Cyber Secur Bangi 43600 Malaysia Univ Tenaga Nas Coll Comp & Informat Kajang 43000 Malaysia

Vulnerability assessment in industrial IoT networks is critical due to the evolving nature of the domain and the increasing complexity of security threats. This study aims to address the existing gaps in the literature by conducting a comprehensive survey on the use of attack graphs for vulnerability assessment in IoT networks. Attack graphs serve as a valuable cybersecurity tool for modeling and analyzing potential attack scenarios on systems, networks, or applications. The survey covers the research conducted between 2016 and 2021(34 peer-reviewed journal articles and 28 conference papers), identifying and categorizing the main methodologies and technologies employed in generating and analyzing attack graphs. In this review, core modeling techniques for IoT vulnerability assessment are highlighted, such as Markov Decision Processes (MDP), Feature Pyramid Networks (FPN), K-means clustering, and logistic regression models, along with other techniques involving genetic algorithms like fast-forward (FF), contingent fast-forwards (CFF), advanced reinforcement-learning algorithms, and HARMs models. The evaluation of the performance of these attack graph models using IoT networks or devices as case studies is also emphasized. This survey provides valuable insights into the state-of-the-art attack graph techniques for IoT network vulnerability assessment, identifying various applications, performances, research opportunities, and challenges. As a reference source, it serves to inform academicians and practitioners interested in leveraging attack graphs for IoT network vulnerability assessment and guides future research directions in this area.

关键词： Internet of Things Computer security Systematics Databases Metadata Wireless sensor networks Terminology Attack graph the Internet of Things network vulnerabilities vulnerability assessment

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A Noc Centric Low Overhead Multi-chip Interconnection Technology 23

A Noc Centric Low Overhead Multi-chip Interconnection Techno...

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23rd IEEE International conference on High Performance Computing and Communications, 7th IEEE International conference on Data Science and systems, 19th IEEE International conference on Smart City and 7th IEEE International conference on Dependability in sensor, Cloud and Big Data systems and applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Hu, xing Zhang, Yang Mao, Li Shen, Jie xing, Zuocheng College of Computer National University of Defense Technolgy ChangSha China College of Microelectronics Xi'an University of Electronic Science and Technology Xi'an China

ISBN: (纸本)9781665494571

Improving the performance of processors is one of the main tasks of high-performance processor design. It is an effective way to improve the processor's performance through high-speed inter-chip interconnection, which utilizes multiple chips to build one unified computing system with higher performance. The existing multi-chip interconnection technologies, such as CCIX, CXL and NVLink, are faced with the problems of not open protocol, high hardware overhead and difficulty to reuse with existing high-speed peripherals. Considering the limitation of current multi-chip interconnection, we adopt the network centered idea to design FT_Link open architecture, which realizes the interconnection of multiple chips in a low-cost way and enables requests to access other chip spaces transparently. FT_Link system is built on common logic layer and physical layer of the existing high-speed peripherals, making it flexible and versatile. Tests and synthesis results show that FT-Link technology has the feature of high throughput and low latency with very small hardware overhead. Its performance bottleneck depends on the FIFO depth of the high-speed peripheral logical layer which it adopts. © 2021 IEEE.

关键词： Program processors Protocols Smart cities Throughput Physical layer Hardware Hazards

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Sensitivity-enhanced all-fiber displacement sensor based on Lyot filter 12

Sensitivity-enhanced all-fiber displacement sensor based on ...

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conference on advanced sensor systems and applications xiI

作者： Tian, Rong Zhang, Haiwei Feng, Yao Lu, Qi Chen, Zhihong Xue, Lifang Shi, Wei Yao, Jianquan Tianjin Univ Technol Engn Res Ctr Optoelect Devices & Commun Technol M Sch Integrated Circuit Sci & Engn Tianjin Key Lab Film Elect & Commun Device Tianjin 300384 Peoples R China Qilu Univ Technol Shandong Acad Sci Laser Inst Int Sch Optoelect Engn Jinan 250014 Peoples R China Tianjin Univ Minist Educ Key Lab Optoelect Informat Technol Sch Precis Instrument & Optoelect EngnInst Laser Tianjin 300072 Peoples R China

ISBN: (纸本)9781510657090;9781510657083

An all-fiber optic high-sensitivity displacement sensor based on 45 degrees-spliced PM Lyot filter is proposed and its sensing performance is investigated experimentally. According to the relationships between the dips and the displacements, the sensor has a good linearity in passive mode, whose R square is larger than 0.998, and the highest sensitivity of 132.55 pm/mu m is obtained in the range of 200 mu m displacement variation. Moreover, it can be compatible to an intracavity displacement sensing system, achieving narrow linewidth, high signal-to-noise ratio (SNR), and high resolution. It can be found that the sensitivity of the intracavity displacement sensor can be 60 pm/mu m when the PMF fiber length is about 20 cm with a linewidth narrower than 0.05 nm and a SNR higher than 55 dB.

关键词： Displacement sensor fiber birefringence polarization interference Lyot filter intracavity system

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