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A Metasurface Implementing Phased-Array-based Vortex Beam Divergence Control for Generating Four-Channel Equal Divergence Angle Vortex Beams 一种实现相控阵涡束发散控制的超表面,用于产生四通道等发散角涡束
IF 0.3 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-10-13 DOI: 10.23919/comex.2025XBL0114
Zhiwei Wang;Yongzhong Zhu;Junwei Xu;Hanchu Zhou;Wenxuan Xie
This paper proposes a dual-frequency polarization-multiplexed metasurface for Orbital angular momentum (OAM) divergence control using phased-array principles. Compared to FSS-Ioaded designs, the unit achieves ultrathin profile, full-phase coverage, and angle insensitivity. By implementing phased-array-based divergence tuning, we demonstrate four-channel high-purity vortex beams with equal divergence angles across modes. Fabricated prototypes validate the OAM control capability, showing good agreement between simulated and measured results. The design shows strong potential for vortex-beam communications and radar detection.
本文提出了一种双频偏振复用超表面,用于相控阵原理的轨道角动量发散控制。与装载fss的设计相比,该装置实现了超薄的外形、全相位覆盖和角度不敏感。通过实现基于相控阵的发散调谐,我们展示了具有相等发散角的四通道高纯度涡旋光束。制作的样机验证了OAM的控制能力,仿真结果与测量结果吻合良好。该设计显示了涡旋波束通信和雷达探测的强大潜力。
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引用次数: 0
Task-Aware Module Operation in IoT Gateways Enabling Power and Temperature Reduction for Power-over-Fiber Application 物联网网关中的任务感知模块操作,为光纤供电应用降低功耗和温度
IF 0.3 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-10-13 DOI: 10.23919/comex.2025XBL0110
Suguru Yamaoka;Masaki Mizuno;Youichi Fukada;Ryo Miyatake;Yoshihito Sakai;Masayoshi Sekiguchi;Tatsuya Shimada
To reduce the risks of natural disasters, proactive use of environmental data is important. However, securing electricity in rural areas is often challenging. Thus, IoT gateways powered by power-over-fiber (PoF) are required. In this work, we develop an intermittent IoT gateway by implementing a task-aware module operation algorithm suitable for intermittent IoT sensing with power-limited PoF. The algorithm selectively powers the necessary modules and minimizes their operating time during the active state. As a result, power consumption in the active state is reduced by 56% compared with previous work, in which almost all modules were activated. Furthermore, the algorithm suppresses the temperature increase of the transmitter, one of the most power-hungry modules, by ~ 11K.
为了减少自然灾害的风险,主动使用环境数据是很重要的。然而,确保农村地区的电力供应往往具有挑战性。因此,需要由光纤供电(PoF)供电的物联网网关。在这项工作中,我们通过实现适用于功率有限的PoF的间歇物联网传感的任务感知模块操作算法,开发了一个间歇物联网网关。该算法选择性地为必要的模块供电,并最大限度地减少其在活动状态下的运行时间。因此,与之前几乎所有模块都处于激活状态的工作相比,激活状态下的功耗降低了56%。此外,该算法抑制了发射机(最耗电的模块之一)的温升约11K。
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引用次数: 0
Analysis and Visualization of QUIC Protocol Deployment in Vietnam 越南QUIC协议部署分析与可视化
IF 0.3 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-10 DOI: 10.23919/comex.2025XBL0091
Thanh Trung Nguyen;Minh Hai Vu;Phi Le Nguyen;Kien Nguyen
Quick UDP Internet Connections (QUIC), an advanced IETF transport-layer protocol, offers several significant advantages over traditional TCP, including reduced latency, enhanced multiplexing capabilities, and strong security through built-in encryption and optimized handshake processes. Because of these benefits, even before its standardization in 2021, QUIC was widely deployed by major Internet companies such as Google and Facebook. Additionally, previous research has observed an increase in global adoption of QUIC. Motivated by this trend, we investigate QUIC deployment in Vietnam, particularly in the context of the country's rapid development, especially in the ICT sector. Specifically, we scan and analyze QUIC adoption using a Vietnamese IPv4 dataset. The scanning results indicate that QUIC adoption in Vietnam is in the early stages, with a low deployment rate of approximately 0.05% of all Vietnamese IPv4 addresses. Furthermore, we analyze active migration support, TLS encryption preferences, and visualize a map of QUIC adoption to track its ongoing deployment patterns. In addition, we conduct active measurements showing that QUIC achieves lower time to first byte (TTFB) and higher throughput than TCP in Wi-Fi networks, while offering competitive performance in mobile networks.
快速UDP Internet连接(QUIC)是一种先进的IETF传输层协议,与传统TCP相比,它提供了几个显著的优势,包括减少延迟、增强多路复用功能以及通过内置加密和优化握手过程实现的强大安全性。由于这些好处,即使在2021年标准化之前,QUIC就被b谷歌和Facebook等主要互联网公司广泛部署。此外,以前的研究已经观察到全球对QUIC的采用有所增加。在这一趋势的推动下,我们调查了QUIC在越南的部署情况,特别是在该国快速发展的背景下,特别是在信息通信技术领域。具体来说,我们使用越南IPv4数据集扫描和分析QUIC采用情况。扫描结果表明,QUIC在越南的采用处于早期阶段,部署率较低,约占越南所有IPv4地址的0.05%。此外,我们分析了活动迁移支持、TLS加密首选项,并可视化QUIC采用的映射,以跟踪其正在进行的部署模式。此外,我们进行了主动测量,表明QUIC在Wi-Fi网络中实现了比TCP更低的首字节时间(TTFB)和更高的吞吐量,同时在移动网络中提供了具有竞争力的性能。
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引用次数: 0
Theoretical Modeling and Interference Prevention of Light Trails for LED-Propeller Based Image Sensor Communication 基于led -螺旋桨的图像传感器通信光迹的理论建模与抗干扰
IF 0.3 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-10 DOI: 10.23919/comex.2025COL0011
Shin Asaoka;Shan Lu;Takaya Yamazato;Zhengqiang Tang
A propeller LED transmitter (P-Tx) further boosts image sensor communication (IS C) throughput by mounting LEDs on a rotating arm and encoding data via their On/Off state. Reducing the angular interval per bit increases data rate but also raises the risk of overlapping “light trails” and ensuing interference. To date, no analytical model has linked the control angle to inter-trail interference in P-Tx-based ISC. This paper proposes a fundamental model of light trail generation and blinking control conditions to prevent interference between adjacent light trails. In the proposed model, the luminous energy distribution on the image plane is calculated based on the LED rotation trajectory. We also provide preliminary experimental results to validate the proposed model.
螺旋桨LED发射器(P-Tx)通过将LED安装在旋转臂上并通过其开/关状态编码数据,进一步提高了图像传感器通信(IS C)的吞吐量。减小每比特的角度间隔增加了数据速率,但也增加了重叠“光迹”和随之而来的干扰的风险。到目前为止,还没有分析模型将控制角与基于p - tx的ISC中的尾间干扰联系起来。本文提出了光迹产生的基本模型和防止相邻光迹干扰的闪烁控制条件。在该模型中,基于LED的旋转轨迹计算了像面上的光能分布。我们还提供了初步的实验结果来验证所提出的模型。
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引用次数: 0
OLSR-Based UAV Route Construction Method with Reservation of in-Flight and Crossing Links 基于olsr的无人机航路构建方法
IF 0.3 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-10 DOI: 10.23919/comex.2025XBL0095
Akito Maeda;Kiyoshi Ueda;Takumi Miyoshi;Taku Yamazaki;Ryo Yamamoto
Unmanned aerial vehicles (UAVs) are attracting attention for applications such as delivery services. In dense UAV traffic, efficient route management is critical for safe navigation. We previously proposed a distributed UAV management system based on a virtual circuit concept, where UAV routes are established over a multi-hop wireless network formed by devices installed in individual houses. To avoid collisions, the system reserves both UAV routes and their crossing links. However, as the number of UAVs increases, link availability decreases, leading to frequent route construction failures. This letter proposes an improved method that reserves only the links currently used by UAVs in flight and their crossing links. Simulation results confirm the effectiveness of the proposed method.
无人驾驶飞行器(uav)在快递服务等应用领域备受关注。在密集的无人机交通中,高效的航路管理对安全导航至关重要。我们之前提出了一种基于虚拟电路概念的分布式无人机管理系统,其中无人机路由建立在由安装在单个房屋中的设备组成的多跳无线网络上。为了避免碰撞,系统保留无人机路线和它们的交叉链路。然而,随着无人机数量的增加,链路可用性降低,导致频繁的路由构建失败。这封信提出了一种改进的方法,只保留当前飞行中的无人机使用的链路及其交叉链路。仿真结果验证了该方法的有效性。
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引用次数: 0
A Lightweight Image Transmission Scheme for Deep Learning-Based Semantic Communication 一种基于深度学习语义通信的轻量级图像传输方案
IF 0.3 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-10 DOI: 10.23919/comex.2025XBL0102
Shugang Liu;Weihua Lei;Qiangguo Yu;Kun Xu
In this study, a lightweight semantic communication scheme is proposed to address the issues of large storage overhead and limited adaptability caused by the dynamic signal-to-noise ratio (SNR) variations in wireless channels, which necessitate storing multiple SNR-specific models in conventional semantic communication schemes. The scheme integrates ghost convolution (GC) and a global attention mechanism (GAM) module. Experimental results demonstrate: a 300% reduction in parameters, FLOPs, and model storage while maintaining comparable performance to conventional convolutional models; under the 3dB Gaussian channel, the Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure(SSIM) reach 27dB and 0.9 respectively; under the Rayleigh channel at identical SNR, PSNR and SSIM achieve 25dB and 0.8. The approach significantly reduces deep learning model complexity while preserving image reconstruction quality, effectively solving the multi-SNR adaptation versus storage trade-off, and establishing a new idea for the image semantic communication scheme.
针对无线信道动态信噪比(SNR)变化带来的存储开销大、适应性有限等问题,提出了一种轻量级语义通信方案。该方案集成了幽灵卷积(GC)和全局关注机制(GAM)模块。实验结果表明:在保持与传统卷积模型相当的性能的同时,参数、FLOPs和模型存储减少了300%;在3dB高斯信道下,峰值信噪比(PSNR)和结构相似指数(SSIM)分别达到27dB和0.9;在瑞利信道下,在相同信噪比下,PSNR和SSIM分别达到25dB和0.8。该方法在保持图像重建质量的同时显著降低了深度学习模型的复杂度,有效解决了多信噪比自适应与存储权衡的问题,为图像语义通信方案提供了一种新的思路。
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引用次数: 0
Performance Improvement of Voronoi Constellations by Multi-Dimensional Rotation for Fading Channels 基于多维旋转的衰落信道Voronoi星座性能改进
IF 0.3 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-10 DOI: 10.23919/comex.2025XBL0106
Ryo Tozawa;Eiji Okamoto;Naoto Horiike;Tetsuya Yamamoto
High transmission quality is essential for wireless communication. To meet this demand, we propose an approach to enhance the modulation method using Voronoi constellations (VCs) based on an $N$-dimensional lattice partition. Compared to traditional methods such as $M$-ary phase-shift keying ($M$-PSK) and $M$-ary quadrature amplitude modulation ($M$-QAM) on a two-dimensional plane, $N$-dimensional VCs offer a larger Euclidean distance between signal points, resulting in superior error rate performance in additive white Gaussian noise (AWGN) channels. To further improve performance in fading channels, we introduce new VCs that achieve diversity gain by rotating the constellation in $N$-dimensional space while preserving AWGN channel characteristics. Numerical results demonstrate that VCs achieve a 25 dB gain for QPSK and a 17 dB gain for 16QAM at a block error rate of 10−4 in a symbol-independent and identically distributed (i.i.d.) Rayleigh fading channel. Additionally, as the achieved diversity gain is influenced by fading variations, the effective range of these gains was clarified in accordance with the 5G New Radio (NR) radio interface.
高传输质量对无线通信至关重要。为了满足这一需求,我们提出了一种基于N维晶格划分的Voronoi星座(VCs)增强调制方法的方法。与传统的二维平面上的M元相移键控(M元-PSK)和M元正交调幅(M元-QAM)方法相比,N维vc在信号点之间提供了更大的欧几里得距离,从而在加性高斯白噪声(AWGN)信道中具有优越的错误率性能。为了进一步提高衰落信道中的性能,我们引入了新的vc,通过在N维空间中旋转星座来实现分集增益,同时保持AWGN信道特性。数值结果表明,在符号无关和同分布(i.i.d)的情况下,vc在块错误率为10−4的情况下,QPSK获得25 dB增益,16QAM获得17 dB增益。瑞利衰落信道。此外,由于实现的分集增益受衰落变化的影响,因此根据5G新无线电(NR)无线电接口明确了这些增益的有效范围。
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引用次数: 0
A Distributed Approach for Maximum-Bandwidth-Path Discovery Using Ant Colony Optimization 一种基于蚁群优化的分布式最大带宽路径发现方法
IF 0.3 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-10 DOI: 10.23919/comex.2025XBL0099
Takumi Senaha;Taito Baba;Takuya Asaka
Maximizing the bottleneck bandwidth of communication paths is a critical challenge for bandwidth-intensive applications. This study proposes a distributed-routing method based on ant colony optimization that dynamically adjusts pheromones according to locally learned path quality. The method's key feature is its ability to adapt to changing network conditions using local statistics, making it suitable for dynamic environments such as information-centric networking, where content sources change frequently. Simulation results indicate high convergence and effective selection of optimal paths with the proposed method.
最大化通信路径的瓶颈带宽是带宽密集型应用的关键挑战。本文提出了一种基于蚁群优化的分布式路由方法,根据局部学习的路径质量动态调整信息素。该方法的关键特性是它能够使用本地统计信息适应不断变化的网络条件,使其适合于动态环境,例如内容源经常变化的以信息为中心的网络。仿真结果表明,该方法具有较高的收敛性和选择最优路径的有效性。
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引用次数: 0
An Improved Video Dehazing Algorithm Based on ZYNQ Architecture 一种基于ZYNQ架构的改进视频去雾算法
IF 0.3 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-10 DOI: 10.23919/comex.2025XBL0107
Lin Wang;Zhongqiang Luo;Lin Gao
To address the issues of contrast degradation and colour distortion in video images captured by the device in haze and other environments, the contrast-limited adaptive histogram equalization (CLAHE) algorithm is improved, and a joint bilateral filtering algorithm for image enhancement is proposed. The CLAHE algorithm and bilateral filtering algorithm are applied to the bright channel Y in the YUV colour space. The parallel pipeline architecture of the ZYNQ platform is utilized to combine RAM and FPGA to realize hardware and software synergy. The experimental results demonstrate that the algorithm has improved the peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), Underwater Image Quality Measure (UIQM), and Average Gradient (AG) and information entropy (IE) of the image. Consuming only 2.278 W on the FPGA, this hardware circuit falls into the low-power category.
针对设备在雾霾等环境下拍摄的视频图像对比度下降和色彩失真的问题,改进了对比度限制自适应直方图均衡化(CLAHE)算法,提出了一种联合双边滤波算法用于图像增强。将CLAHE算法和双边滤波算法应用于YUV色彩空间的明亮通道Y。利用ZYNQ平台的并行流水线架构,将RAM和FPGA结合起来,实现软硬件协同。实验结果表明,该算法提高了峰值信噪比(PSNR)、结构相似度指标(SSIM)、水下图像质量指标(UIQM)以及图像的平均梯度(AG)和信息熵(IE)。该硬件电路在FPGA上的功耗仅为2.278 W,属于低功耗电路。
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引用次数: 0
Evaluating the Usability and Security of the Text-Based CAPTCHA that Asks to Recognize Hidden Text with the Help of Human Visual Completion Function 评估基于文本的CAPTCHA在人类视觉补全功能的帮助下识别隐藏文本的可用性和安全性
IF 0.3 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-10 DOI: 10.23919/comex.2025COL0018
Shotaro Usuzaki;Nobuya Takahashi;Taiki Kamada;Kentaro Aburada;Hisaaki Yamaba;Mirang Park;Naonobu Okazaki
In this study, we propose a text-based CAPTCHA that utilizes human visual completion to prevent automated programs from getting through, without affecting human cognition. This CAPTCHA requires users to enter the reading of the kanji strings, whose centers are hidden behind a black bar. This method makes it challenging for machines to recognize the characters, while still allowing humans to identify the original text through their visual completion ability. We evaluate both the usability and security of the proposed CAPTCHA. To assess usability, we observed how humans respond to the CAPTCHA challenge. For the security evaluation, we tested the machine's ability to read the kanji using a Convolutional Neural Network (CNN). The results showed that the proposed CAPTCHA achieves a success rate comparable to traditional CAPTCHAs, with a slightly shorter response time than a similar type of CAPTCHA. Furthermore, security experiments have shown that it exhibits a certain degree of resistance against simple convolutional neural networks.
在这项研究中,我们提出了一种基于文本的CAPTCHA,它利用人类的视觉补全来防止自动程序通过,而不影响人类的认知。这个验证码要求用户输入汉字串的读数,汉字串的中心隐藏在一个黑条后面。这种方法使得机器识别字符具有挑战性,同时仍然允许人类通过视觉补全能力识别原始文本。我们评估了建议的CAPTCHA的可用性和安全性。为了评估可用性,我们观察了人类对CAPTCHA挑战的反应。为了进行安全性评估,我们使用卷积神经网络(CNN)测试了机器阅读汉字的能力。结果表明,所提出的验证码取得了与传统验证码相当的成功率,并且响应时间比类似类型的验证码略短。此外,安全实验表明,它对简单卷积神经网络表现出一定程度的抵抗力。
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引用次数: 0
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IEICE Communications Express
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