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Crystal structure, phase compositions and microwave dielectric properties of Gd1-xCaxV1-xMoxO4 ceramics

Ceramics International 2025年第15期51卷 20124-20130页

作者： Zhang, Yuheng Chen, Junqi Chen, Jinwu Zhou, Yang Wu, Xiaoyu Tang, Ying Fang, Liang Xiang, Huaicheng College of Physics and Electronic Information Engineering Guilin University of Technology Guilin541004 China Guangxi Universities Key Laboratory of Non-Ferrous Metal Oxide Electronic Functional Materials and Devices Guangxi Key Laboratory of Optical and Electronic Materials and Devices College of Materials Science and Engineering Guilin University of Technology Guilin541004 China School of Mechanical Engineering Guilin University of Aerospace Technology Guilin541004 China

Gd1-xCaxV1-xMoxO4 (0 ≤ x ≤ 1) solid-solution/composite ceramics with low permittivity were synthesized via the solid-state reaction method, and their crystal structures, phase compositions, and microwave dielectric properties were investigated. As the substitution of Ca2+ and Mo6+ increased, phase evolutions were observed: tetragonal zircon (I41/amd) for x 1/a) for x > 0.8. GdVO4, a tetragonal zircon, exhibited a low Εr (11.48) and a near-zero τf (−13.2 ppm/°C), yet its Q × f value is suboptimal (9400 GHz). This limitation stems from its low structural stability, attributed to the prevalent edge-sharing polyhedra and high magnetic susceptibility of Gd. With the increased substitution of Ca2+ and Mo6+, the Q × f value of Gd1-xCaxV1-xMoxO4 ceramics rose to 79,300 GHz (x = 1), while the τf value concurrently dropped to −61.7 ppm/°C. The inherent factors affecting the microwave dielectric properties were determined by Raman scattering and infrared reflection (IR) spectra, dielectric temperature spectrum, magnetic susceptibility, and thermal expansion analysis. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Crystal structure

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An Innovative K-Anonymity Privacy-Preserving Algorithm to Improve Data Availability in the Context of Big Data

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Computers, Materials & Continua 2024年第4期79卷 1561-1579页

作者： Linlin Yuan Tiantian Zhang Yuling Chen Yuxiang Yang Huang Li State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang550025China College of Information Engineering Guizhou Open UniversityGuiyang550025China Guizhou Academy of Tobacco Science Guiyang550025China

The development of technologies such as big data and blockchain has brought convenience to life,but at the same time,privacy and security issues are becoming more and more *** K-anonymity algorithm is an effective and low computational complexity privacy-preserving algorithm that can safeguard users’privacy by anonymizing big ***,the algorithm currently suffers from the problem of focusing only on improving user privacy while ignoring data *** addition,ignoring the impact of quasi-identified attributes on sensitive attributes causes the usability of the processed data on statistical analysis to be *** on this,we propose a new K-anonymity algorithm to solve the privacy security problem in the context of big data,while guaranteeing improved data ***,we construct a new information loss function based on the information quantity *** that different quasi-identification attributes have different impacts on sensitive attributes,we set weights for each quasi-identification attribute when designing the information loss *** addition,to reduce information loss,we improve K-anonymity in two ***,we make the loss of information smaller than in the original table while guaranteeing privacy based on common artificial intelligence algorithms,i.e.,greedy algorithm and 2-means clustering *** addition,we improve the 2-means clustering algorithm by designing a mean-center method to select the initial center of ***,we design the K-anonymity algorithm of this scheme based on the constructed information loss function,the improved 2-means clustering algorithm,and the greedy algorithm,which reduces the information ***,we experimentally demonstrate the effectiveness of the algorithm in improving the effect of 2-means clustering and reducing information loss.

关键词： Blockchain big data K-anonymity 2-means clustering greedy algorithm mean-center method

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A Novel Trajectory Planning Method Based on Trust Region Policy Optimization

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-15页

作者： Ye, Bao-Lin Zhang, Jiajie Li, Lingxi Wu, Weimin Jiaxing Key Laboratory of Smart Transportations the School of Information Science and Engineering Jiaxing University China Elmore Family School of Electrical and Computer Engineering Purdue University Indianapolis USA State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China

Trajectory planning method is a research hotspot in autonomous driving. Existing reinforcement learning-based trajectory planning methods suffer from unstable performance due to the strong randomness of network weight parameter updates during the training process. Therefore, this paper proposes a novel trajectory planning method based on deep reinforcement learning trust region policy optimization (TRPO). Firstly, in order to enhance the robustness of the trajectory planning method based on deep reinforcement learning TRPO, a TRPO-LSTM based decision model was proposed. More specifically, a long short term memory (LSTM) based state feature extraction network was designed and embeded into a TRPO-based decision model to enhance the ability of TRPO to extract information from the environmental state space. Secondly, in order to make the planned trajectory adaptive to the dynamic changes of traffic environment, we presented a novel TRPO-LSTM trajectory fitting algorithm. To the best of our knowledge, this is the first work aiming at applying the TRPO-LSTM based decision model in the trajectory fitting process to search the optimal longitudinal trajectory speed. Finally, the proposed trajectory planning method was implemented and simulated on the CARLA simulator. The experimental results show that, compared with existing trajectory planning methods based on deep reinforcement learning algorithms, our proposed method achieves a cumulative reward improvement of over 28.9% in the scenario of four lane highway, and has better robustness. Meanwhile, the proposed method can achieve a lower collision rate of 0.93% while improving the average speed and comfort of vehicle driving. IEEE

关键词： Heuristic algorithms

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Radial Vibration Measurement Based on Slope-assisted BOCDA Enabled by Multi-core Fiber

Radial Vibration Measurement Based on Slope-assisted BOCDA E...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Chen, Shuyan He, Huan Zhao, Zhiyong Fu, Songnian 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 Guangdong Provincial Key Laboratory of Photonics Information Technology School of Information Engineering Guangdong University of Technology Guangzhou510006 China

We propose a novel SA-BOCDA sensor based on multicore fiber. By subtracting the output probe powers of two symmetrical outer cores, response enhanced vibration detection is realized without frequency scanning. © ...

ISBN: (纸本)9781957171258

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Lightweight Monocular 3D Object Detection Based on Attention Mechanism 5

Lightweight Monocular 3D Object Detection Based on Attention...

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5th Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2024

作者： Zhan, Feng Zhang, Zhi Wuhan University of Science and Technology College of Computer Science and Technology Hubei Wuhan430065 China Information Processing and Real-time Industrial System Hubei Province Key Laboratory of Intelligent Hubei Wuhan430065 China Information Processing and Real-time Industrial System Hubei Province Key Laboratory of Intelligent Hubei Wuhan30065 China

ISBN: (纸本)9798350374407

In the field of autonomous driving, 3D target detection is an important technology. In view of the shortcomings of existing monocular 3D detection algorithms in terms of accuracy and real-time performance, we propose a lightweight 3D target detection algorithm based on the attention mechanism. In order to ensure the real-time performance of the model, we use depthwise separable convolutions in the backbone network. The feature maps of each scale are then connected to an EMA module, which can fuse spatial attention and cross-dimensional Coordinate attention is used to enhance the feature extraction capability of the network, and BiFPN is subsequently used for multi-scale feature fusion. Finally, experiments were conducted on the KITTI dataset, and the results showed that our algorithm was superior to other methods in both accuracy and speed. © 2024 IEEE.

关键词： Object recognition

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An efficient two-stage reading scheme for recorded data frame of amplitude-modulation coaxial holographic data storage 9

An efficient two-stage reading scheme for recorded data fram...

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9th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Zhan, Yekang Zhang, Yifan Cao, Qiang Xie, Changsheng Key Laboratory of Information Storage System Education Ministry Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781510664432

Optical holographic data storages (HDS) with high theoretical-capacity have been researched for more than two decades. Among them, coaxial HDS receives the most attention. Amplitude-based coding in coaxial HDS systems is fundamental and generally employs a 3:16 modulation scheme that sets merely 3 non-adjacent bright pixels within a 4*4 pixel-block, called as three-level format (TLF). Unfortunately, TLF data frame recorded upon the disc is difficult to be retrieved accurately in the practice. In our previous work, we experimentally analyzed inaccurate TLF data frames recognition and its corresponding factors. The core issue is how to accurately and fast locate TLF data frame in encoded image. Thus, we have to use some image processing techniques such as Gaussian blur to assist in locating TLF data frame. However, using image processing techniques will inevitably introduce long processing-time. Therefore, we propose an efficient two-stage decoding scheme. In the first stage, we locate TLF data frame in encoded images and calculate scaling multiplier (about 1.9s). In the second stage, we calculate the coordinates of all data points and read them (about 0.08s). For the first image of a batch, we execute complete two-stage process, but the subsequence images are no longer to perform the first stage and only fine-tuning TLF data frame location. The experimental results show that the average latency of reading an image is reduced by 1.9s. The average data point error rate is 3.1%, and the average data block error rate is 7.8%, consistent with the results of executing complete process. © 2023 SPIE.

关键词： Amplitude modulation

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A multi-level encoded and interleaved data format for holographic data storage with high reliability and high recoverability 9

A multi-level encoded and interleaved data format for hologr...

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9th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Wang, Siyi Cao, Qiang Xie, Changsheng Key Laboratory of Information Storage System Education Ministry Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781510664432

Holographic data storage (HDS) with Bragg selectivity which can store multiple holographic images in the same physical location makes the storage capacity doubled. Unfortunately, it also brings a high original bit error rate and faces continuous data errors. To solve these problems, we propose a multi-level encoded and interleaved data format for HDS. At the first-level, data DSUs (minimum continuous data units) generates parity DSUs according to the coded rule (CodeRule 1), interleaves and disperses continuous DSUs in Sectors, which completes the first-level encoded and first-level interleaved. In the second-level, Sectors generate parity Sectors according to the coded rule (CodeRule 2). A fixed number of Sectors are organized into Sector-Arrays, and a fixed number of Sector-Arrays form Sector-Clusters. Consecutive Sectors are interleaved between Sector-Arrays to complete the second-level interleaved. In the third-level, the Page composed of multiple Sectors is coded. Organize a fixed number of Pages into a Page-Array, and a fixed number of Page-Arrays form Page-Clusters. Consecutive Pages are interleaved between Page-Arrays to complete the third-level interleaved (CodeRule 3). Also, we designed the user virtual address logical physical address mapping. Finally, the bit error rate of the data processed by the first-level is about 10-2, the second-level is about 10-4, the second-level is about 10-11. The tolerance continuous error length by the first-level is 144B, the second-level is 8160B, the third-level is 137088B. © 2023 SPIE.

关键词： Bit error rate

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Distributed Multi-Agent Resource Allocation Based on Transformer and DRL for Cloud XR Hybrid Content Transmission

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IEEE Internet of Things Journal 2025年第12期12卷 22110-22127页

作者： Wang, Zhaocheng Wu, Jun Wang, Rui Li, Ying Tongji University School of Computer Science and Technology Shanghai201804 China Fudan University School of Computer Science Shanghai Key Laboratory of Intelligent Information Processing Shanghai200433 China Tongji University College of Electronics and Information Engineering Shanghai201804 China Tongji University Shanghai Institute of Intelligent Science and Technology Shanghai201804 China Peng Cheng Laboratory Guangdong518055 China

Extended reality (XR) technologies and applications have grown rapidly in recent years. In addition to providing immersive ultra-high-definition (UHD) video, XR also allows for a haptic experience where devices can be remotely manipulated to accomplish tasks. However, varying numbers of XR users accessing the communication system can strain limited spectrum resources, posing challenges in resource allocation. Therefore, this paper studies resource blocks (RBs) allocation problem in a downlink transmission scenario where real-time cloud XR video and haptic contents need to be transmitted simultaneously. We also consider the random variation in the number of XR users and propose an Adaptive Distributed Multi-Agent Deep reinforcement learning (DRL) combined with Transformer (ADMA-DcT) for dynamic RB allocation method. This method addresses the dynamic change in network input dimensions due to user number variability using a state division module and a self-attention mechanism in the encoder module. To our knowledge, this is the first work to study the RB allocation problem in Cloud XR transmission considering simultaneous transmitting of video and haptic services with a dynamically changing user base. Our extensive simulations show that the ADMA-DcT model, end-to-end trained, outperforms other benchmarks in successfully serving a larger number of XR users under varying user number conditions, demonstrating excellent adaptivity and robustness. © 2014 IEEE.

关键词： Multi agent systems

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An Optically Transparent Reflectarray Based on Fine Metal Lines and Low-loss Substrate 12

An Optically Transparent Reflectarray Based on Fine Metal Li...

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12th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2024

作者： Zhou, Jianjing Hu, Haobin Zhou, Jiaqi Chen, Yu Cai, Longzhu Jiang, Zhi Hao Southeast University State Key Laboratory of Millimeter Waves School of Information Science and Engineering Nanjing210096 China Aerospace System Engineering Shanghai Shanghai201109 China

ISBN: (纸本)9798350351019

A new type of optically transparent reflectarray with fine metal lines (FMLs) and low-loss substrate is investigated in this work. The reflectarray consists of a FML patch, cyclic olefin copolymer (COC) substrate, polyethylene terephthalate (PET) substrate and an indium tin oxide (ITO) ground. The FML patch, with a linewidth of 50 μ m, adopts a multi-resonant structure to broaden the range of phase variation. At the operating frequency of 29 GHz, the reflection loss and phase change of the proposed reflectarray element are 1.1 dB and 491°, respectively. The fabricated reflectarray achieves a measured gain of 23.36 dBi, a high aperture efficiency of 40.6%, and a 1-dB gain bandwidth of 22.41%, demonstrating great potential in future communication systems. © 2024 IEEE.

关键词： Tin oxides

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Performance Investigation and Realization of an Integrated V-Band Lens Antenna with Low-loss COC Dielectric Materials 12

Performance Investigation and Realization of an Integrated V...

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12th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2024

作者： Chen, Yu Hu, Haobin Zhou, Erya Zhou, Jianjing Cai, Longzhu Jiang, Zhi Hao Southeast University State Key Laboratory of Millimeter Waves School of Information Science and Engineering Nanjing210096 China Aerospace System Engineering Shanghai Shanghai201109 China

ISBN: (纸本)9798350351019

This paper presents the design of an integrated V-band (50-75 GHz) dielectric lens antenna featuring a high gain of 30 dBi, utilizing low-loss cyclic olefin copolymer (COC). The study comprehensively compares and analyzes the effects of horn disturbances and integration methods in practical applications. Various materials, thicknesses, and tilt angles for the housing are examined, resulting in different degrees of loss, ultimately leading to the analysis of an optimal scenario. Following fabrication, assembly, and testing, the integrated lens antenna achieves 3 dB beamwidth of 4.79°, a gain of 30.22 dBi at the center frequency of 62.5 GHz, and an aperture efficiency of 53.11%. © 2024 IEEE.

关键词： Lens antennas

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