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Sea-Land Segmentation of Remote Sensing Images Based on SDW-UNet

computer Systems science & engineering 2023年第5期45卷 1033-1045页

作者： Tianyu Liu Pengyu Liu Xiaowei Jia Shanji Chen Ying Ma Qian Gao The Information Department Beijing University of TechnologyBeijing 100124China School of Physics and Electronic Information Engineering Qinghai Minzu UniversityXining810000China Advanced Information Network Beijing Laboratory Beijing100124China Computational Intelligence and Intelligent Systems Beijing key Laboratory Beijing100124China Department of Computer Science University of Pittsburgh15260USA

Image segmentation of sea-land remote sensing images is of great importance for downstream applications including shoreline extraction,the monitoring of near-shore marine environment,and near-shore target *** mitigate large number of parameters and improve the segmentation accuracy,we propose a new Squeeze-Depth-Wise UNet(SDW-UNet)deep learning model for sea-land remote sensing image *** proposed SDW-UNet model leverages the squeeze-excitation and depth-wise separable convolution to construct new convolution modules,which enhance the model capacity in combining multiple channels and reduces the model *** further explore the effect of position-encoded information in NLP(Natural Language Processing)domain on sea-land segmentation *** have conducted extensive experiments to compare the proposed network with the mainstream segmentation network in terms of accuracy,the number of parameters and the time cost for *** test results on remote sensing data sets of Guam,Okinawa,Taiwan China,San Diego,and Diego Garcia demonstrate the effectiveness of SDW-UNet in recognizing different types of sea-land areas with a smaller number of parameters,reduces prediction time cost and improves performance over other mainstream segmentation *** also show that the position encoding can further improve the accuracy of model segmentation.

关键词： Sea-land segmentation UNet depth-wise separable convolution squeeze-excitation position encoding

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BER Improvement of Cooperative Spectrum Sharing of NOMA in 5G network 3

BER Improvement of Cooperative Spectrum Sharing of NOMA in 5...

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3rd IEEE International Maghreb Meeting of the Conference on sciences and Techniques of Automatic Control and computer engineering, MI-STA 2023

作者： Hassan, Mohamed Saeed, Rashid A. Mokhtar, Rania A. Hamid, Khalid Ali, Elmustafa Sayed Odeh, Nidhal Singh, Manwinder Khalifa, Othman O. Islam, Shayla Lovely Professional University Department of Wireless Communication Punjab Phagwara144001 India Taif University Department of Computer Engineering College of Computers and Information Technology Taif21944 Saudi Arabia University of Science & Technology Department of Communication Systems Engineering Omdurman Sudan Department of Electronics Engineering Khartoum Sudan University of Wollongong School of Electrical Computer and Telecommunications Engineering Australia International Islamic University Malaysia Department of Electrical and Computer Engineering Gombak Malaysia Libyan Center for Engineering Resarch and Information Technology Bani Waleed Libya Institute of Computer Science and Digital Innovation Ucsi University Malaysia Department of Computer Science Kuala Lumpur56000 Malaysia

ISBN: (纸本)9798350319897

Non-orthogonal multiple access is one of the best methods for addressing the needs of 5G wireless services (NOMA). The proliferation of mobile devices in recent years has increased the importance of cooperative spectrum sharing and utilization in wireless communication due to increases in the bit error rate (BER) brought on by collisions and interference. In this study, MIMO and Massive MIMO (M-MIMO) in the downlink (DL) NOMA power domain (PD) in conjunction with the Cooperative Cognitive Radio network are proposed as two new ways for improving and evaluating BER in the 5G network (CCRN). Customers of NOMA compete for available channels on the CCRN in this first strategy. The second approach creates a dedicated channel for NOMA users. Three scenarios with varying distances, power location coefficients, and transmission power are used to evaluate the proposed methods in the MATLAB software program. It is assumed that four users will share a 90 MHz BW using QPSK modulation in all three scenarios. When evaluating the performance of the suggested system under the presumption of frequency-selective Rayleigh fading, concurrent interference cancellation (SIC) and unstable channel conditions are also considered. © 2023 IEEE.

关键词： 5G mobile communication systems

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GIRP: Energy-Efficient QoS-Oriented Microservice Resource Provisioning via Multi-Objective Multi-Task Reinforcement Learning

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IEEE Transactions on Mobile Computing 2025年第7期24卷 5793-5807页

作者： Yuan, Honggang Wang, Ting Fu, Min Shi, Yuanming East China Normal University MoE Engineering Research Center of Software/Hardware Co-design Technology and Application Shanghai Key Laboratory of Trustworthy Computing Shanghai200062 China National University of Singapore Department of Electrical and Computer Engineering 117583 Singapore ShanghaiTech University School of Information Science and Technology Shanghai201210 China

Microservice architecture has revolutionized web service development by facilitating loosely coupled and independently developable components distributed as containers or virtual machines. While existing studies emphasize end-to-end latency, this paper investigates energy-efficient quality-of-service (QoS)-oriented microservice provisioning, focusing on both QoS satisfaction and power consumption (PC) conservation. We propose the Green and Intelligent Resource Provision (GIRP) architecture, integrating a data-driven energy-latency-aware resource allocation and scheduling manager to balance latency and PC. To reconcile the trade-offs involved, a dual-objective optimization problem is formulated to minimize latency and energy use by selecting proper servers, allocating CPU cores, and determining service replicas. To address challenges with discrete variables, dual objectives, and implicit mappings, we leverage a model-free deep deterministic policy gradient-based reinforcement learning algorithm. Specifically, we develop a multi-task agent via the Multi-gate Mixture-of-Experts model to simultaneously make two separate actions regarding CPU core numbers and service replica numbers, followed by a single-task agent to determine service scheduling. Extensive experiments on the DeathStarBenchmark testbed validate GIRP's effectiveness, demonstrating approximately 52% resource savings and a 43% reduction in PC compared to leading methods like Sinan, Firm, and heuristic-based algorithms. These results highlight GIRP's capability to optimize microservice orchestration by balancing end-to-end latency and power efficiency. © 2025 IEEE. All rights reserved.

关键词： Quality of service

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Instant Message App-Based COVID-19 Outbreak Reminder Service Via Climate-Based Prediction 10

Instant Message App-Based COVID-19 Outbreak Reminder Service...

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10th International Conference on Orange Technology, ICOT 2022

作者： Cheng, Wei-Min Yi, Yen-Yu Yang, Chan-Ru Hsu, Pei-Yu Lin, Chih-Chung Hung, Lon-Chen Lunghwa University of Science and Technology Department of Computer Information and Network Engineering Taoyuan Taiwan Lunghwa University of Science and Technology Department of Electronic Engineering Taoyuan Taiwan

ISBN: (纸本)9781665454193

Now that the COVID-19 pandemic is serious, in order to maintain the quality of life and safety, it is very important to remind people of the outbreak. Because when the SARS pandemic occurred in the past, it was found that the pandemic situation had a certain relationship with the weather. Therefore, we tried to analyze the relationship between the pandemic situation and the weather by analyzing big data information, and we also tried to conclude the possible pandemic situation and climate-related prediction rules through big data. We hope to use the most popular instant messaging software - LINE in Taiwan to assist in the auxiliary reminders of the pandemic. When people use the weather pandemic robot, they can also find the correlation between the weather and the pandemic, and it also helps to remind the public to pay more attention to their own health. © 2022 IEEE.

关键词： COVID-19

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Enhancing Efficiency and Empowering Institutions: Leveraging Wireless Sensor Devices, IoT Edge Computing, and Fog Computing in Educational Systems 7

Enhancing Efficiency and Empowering Institutions: Leveraging...

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7th IEEE International Conference on Computational Systems and information Technology for Sustainable Solutions, CSITSS 2023

作者： Siddiqui, Shams Tabrez Ali Sohail, Md Mohammed Aftab, Aasif Sarfaraz, Mohd Alam, Mohammad Imran Salim, Abu College of Cs It Jazan University Department of Computer Science Jazan Saudi Arabia College of Cs It Jazan University Department of Computer & Network Engineering Jazan Saudi Arabia College of Cs It Jazan University Department of Information Technology and Security Jazan Saudi Arabia

ISBN: (纸本)9798350343144

Wireless sensor devices, edge computing, and fog computing can transform education by improving efficiency and empowering institutions. This research paper explores the application of these technologies in educational settings and investigates their benefits, challenges, and potential solutions. Educational institutions can track classroom occupancy, ambient conditions, and student participation using wireless sensor systems. loT edge computing allows data processing and analysis at the network edge for rapid insights and decision-making. Fog computing integrates cloud resources with edge computing to support complicated computations and data storage. Wireless sensor devices, loT edge computing, and fog computing are used to optimize educational processes like resource management, student tracking, personalized learning, and campus security. Data privacy, security, scalability, and interoperability issues are studied and solutions suggested. This research shows how wireless sensor devices, loT edge computing, and fog computing may alter educational systems, helping institutions improve efficiency and empower stakeholders. © 2023 IEEE.

关键词： Fog computing

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A Novel Power Divider With Tunable Power Ratios and Reconfigurable Output Phase Differences 7

A Novel Power Divider With Tunable Power Ratios and Reconfig...

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7th IEEE International Conference on Electronic information and Communication Technology, ICEICT 2024

作者： Huang, Jialin Guo, Xulong Xue, Shanshan Xu, Chang Huang, Yong Mao Wang, Xiaolong Jilin University College of Electronic Science and Engineering International Center of Future Science Changchun China Coordination Center of China Inner Mongolia Branch of National Computer Network Emergency Response Technical Team Hohhot China Xihua University School of Electrical and Electronic Information Chengdu China

ISBN: (纸本)9798350384437

In this letter, a novel power divider with a wide tunable range of power ratios and reconfigurable output phase differences is proposed. The tunable power ratio is implemented by replacing the branch transmission line of the conventional Gysel power divider. The branch transmission line equivalent circuit consists of three short-circuited varactors cascaded through two sections of transmission lines. Moreover, by selecting appropriate capacitances of the varactors, the proposed novel power divider can operate either in an in-phase mode or out-of-phase mode. Finally, the electromagnetic (EM) simulation of six examples was conducted and one experimental circuit of the proposed novel power divider was fabricated. The simulation and measurement results verified the feasibility of the proposed novel power divider. © 2024 IEEE.

关键词： Power transmission lines

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Relay-projection microscopic telescopy

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Light(science & Applications) 2025年第4期14卷 1143-1155页

作者： Wenjun Yi Shuyue Zhu Meicheng Fu Nan Gu JunliQi Siyu Liu Mengjun Zhu Ping Wang Xin Chen Yi Zhang Hongyu Zhang Yao Xu Junyi Du Peng Xiong Zhaohua Dong Luobing Dong Qiong Liu Xiujian Li College of Science National University of Defense TechnologyChangshaChina Xi’an Satellite Control Center Xi’anChina School of Information and Electronics Engineering Hunan City UniversityYiyangChina College of Electronic Science National University of Defense TechnologyChangshaChina The School of Computer Science and Technology Xidian UniversityXi’anChina Senior Department of Otolaryngology Head and Neck Surgery the 6th Medical Center of Chinese PLA General HospitalChinese PLA Medical SchoolBeijingChina

The fundamental trade-off between spatial resolution and imaging distance poses a significant challenge for current imaging techniques,such as those used in modern biomedical diagnosis and remote ***,we introduce a new conceptual method for imaging dynamic amplitude-phase-mixed objects,termed relay-projection microscopic telescopy(rPMT),which fundamentally challenges conventional light collection techniques by employing non-line-ofsight light collection through square-law relay-projection *** successfully resolved tiny features measuring 2.76μm,22.10μm,and 35.08μm for objects positioned at distances of 1019.0 mm,26.4 m,and 96.0 m,respectively,from single-shot spatial power spectrum images captured on the relay screen;these results demonstrate that the resolution capabilities of rPMT significantly surpass the Abbe diffraction limit of the 25 mm-aperture camera lens at the respective distances,achieving resolution improvement factors of 7.9,25.4,and *** rPMT exhibits long-distance,wide-range,high-resolution imaging capabilities that exceed the diffraction limit of the camera lens and the focusing range limit,even when the objects are obscured by a scattering *** rPMT enables telescopic imaging from centimeters to beyond hundreds of meters with micrometer-scale resolution using simple devices,including a laser diode,a portable camera,and a diffusely reflecting *** contemporary high-resolution imaging techniques,our method does not require labeling reagents,wavefront modulation,synthetic receive aperture,or ptychography scanning,which significantly reduce the complexity of the imaging system and enhance the application *** method holds particular promise for in-vivo label-free dynamic biomedical microscopic imaging diagnosis and remote surveillance of small objects.

关键词： light collection techniques Imaging Distance Non Line Sight Relay Projection Microscopic Telescopy remote sensingherewe imaging techniquessuch biomedical diagnosis Spatial Resolution

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Enhancing Non-Destructive Examining of Composite Materials Using Lightweight Structures And Machine Learning

Enhancing Non-Destructive Examining of Composite Materials U...

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2023 International Conference on Advances in Computation, Communication and information Technology, ICAICCIT 2023

作者： Gangwar, Prashant Kumar Pattanaik, Balachandra Madiajagan, M. Sohail, Mohammed Ali Babu, M. Dinesh Sarala, B. Woldia University Department of Construction Technology & Management Amhara Region Ethiopia Wollega University College of Engineering and Technology Department of Electrical and Computer Engineering Nekemte Ethiopia Vellore Institute of Technology School of Computer Science and Engineering Tamil Nadu Vellore India Jazan University College of Computer Science & Information Technology Department of Computer & Network Engineering Jazan Saudi Arabia Rajalakshmi Institute of Technology Department of Mechanical Engineering Chembarabakkam Chennai India R.M.K Engineering College Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350344387

Composite materials and structures are becoming more efficient and cost-effective, and new special features are being developed to improve their specific properties. Their use in a variety of applications such as wind turbines, aeronautical, medical equipment, transportation, and other load-bearing structures is becoming increasingly important. It is necessary for non-destructive composite examining to be robust and trustworthy in order to limit the risk of damage as well as the cost of maintenance. In order to ensure the product quality throughout its life cycle, many non-destructive examining procedures based on a wide range of concepts have been created. In this paper, nondestructive examining was used to obtain vibration measurements of composites in high-frequency regimes, which were then analysed. Both end-to-end classifications of the data and classifications of data acquired by feature engineering with modal analysis employ Support Vector Machine (SVM) to carry out damage localization in their respective applications. Finally, the findings display a large number of plates made of various materials and with defects of varying magnitudes. © 2023 IEEE.

关键词： Composite Localization Machine Learning Nondestructive Examining

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Quantum Fourier Transform Using Dynamic Circuits

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Physical Review Letters 2024年第15期133卷 150602页

作者： Elisa Bäumer Vinay Tripathi Alireza Seif Daniel Lidar Derek S. Wang IBM Quantum Department of Physics & Astronomy and Center for Quantum Information Science & Technology Departments of Electrical & Computer Engineering Chemistry Physics & Astronomy and Center for Quantum Information Science & Technology

In dynamic quantum circuits, classical information from midcircuit measurements is fed forward during circuit execution. This emerging capability of quantum computers confers numerous advantages that can enable more efficient and powerful protocols by drastically reducing the resource requirements for certain core algorithmic primitives. In particular, in the case of the n-qubit quantum Fourier transform followed immediately by measurement, the scaling of resource requirements is reduced from O(n2) two-qubit gates in an all-to-all connectivity in the standard unitary formulation to O(n) midcircuit measurements in its dynamic counterpart without any connectivity constraints. Here, we demonstrate the advantage of dynamic quantum circuits for the quantum Fourier transform on IBM’s superconducting quantum hardware with certified process fidelities of >50% on up to 16 qubits and >1% on up to 37 qubits, exceeding previous reports across all quantum computing platforms. These results are enabled by our contribution of an efficient method for certifying the process fidelity, as well as of a dynamical decoupling protocol for error suppression during midcircuit measurements and feed forward within a dynamic quantum circuit that we call “feed-forward-compensated dynamical decoupling.” Our results demonstrate the advantages of leveraging dynamic circuits in optimizing the compilation of quantum algorithms.

关键词： Measurement-based quantum computing Quantum algorithms Quantum benchmarking Quantum circuits

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Performance Evaluation of LoRa 923 MHz for the Internet of Things 10

Performance Evaluation of LoRa 923 MHz for the Internet of T...

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10th IEEE information Technology International Seminar, ITIS 2024

作者： Juledi, Angga Putra Huda, Moh. Khoridatul Dwi Putra, Muhammad Taufik Delsi Samsumar, Lalu Prasetyo Adi, Puput Dani Nurdiansyah, Yanuar Universitas Labuhanbatu Faculty of Science and Technology Department of Information Technology Labuhanbatu City Indonesia Malang East Java Malang Indonesia Universitas Pendidikan Indonesia Department of Computer Engineering Bandung Indonesia Universitas Teknologi Mataram Department of Information Technology Mataram City Indonesia Research Center for Telecommunication Bandung Indonesia University of Jember Faculty of Computer Science Indonesia

ISBN: (纸本)9798331521295

This research focuses on enhancing the performance of data transmission in the Internet of Things (IoT) by leveraging LoRa technology. Specifically, it utilizes the LILYGO 923 MHz LoRa32 board, which integrates the ESP32 microcontroller with a LoRa module and additional devices like a 0.96-inch OLED display. This board also features a serial converter interface, simplifying the programming process, and uses a micro USB connection for both power and uploading code. One of the goals of this research is to enable the transmission of images using LoRa, though currently, only image conversion during transmission is implemented. The study includes reliability testing of the LoRa module over a distance of 10 km. The results show that the Packet Delivery Ratio (PDR) for Spreading Factor (SF) 7 is 50%, while for SF 12, it improves to 85%. Additionally, the Received Signal Strength Indicator (RSSI) measurements at a distance of 1000 meters with 3 Non-Line-of-Sight (NLoS) conditions yielded values of -120 dBm, -90 dBm, and -78 dBm. These results highlight the potential of LoRa technology in improving IoT data transmission, especially for long-range applications. © 2024 IEEE.

关键词： Image enhancement

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