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2024 International Conference on Electronics, Information, and Communication (ICEIC)最新文献

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Multitask Autoencoder-Based Two-Phase Framework Using Multilevel Feature Fusion for EEG Emotion Recognition 基于多任务自动编码器的两阶段框架,利用多级特征融合实现脑电图情感识别
Pub Date : 2024-01-28 DOI: 10.1109/ICEIC61013.2024.10457197
Changgyun Jin, Chanwoo Shin, Hanul Kim, Seong-Eun Kim
Emotion recognition has emerged as a active research area, gaining relevance from advancements in deep learning. This study focuses on using electroencephalogram (EEG) data for emotion recognition and addresses the challenge of subject-dependent variability in EEG-based emotion recognition by proposing a novel architecture that employs multilevel feature fusion and a multitask autoencoder-based two-phase framework. The first phase generates classspecific data, while the second phase uses these for model training. The proposed model was validated using the SEED dataset and demonstrated state-of-the art perforamnce with an accuracy of 99.4 % in a subject-independent setting.
情感识别已成为一个活跃的研究领域,并从深度学习的进步中获得了相关性。本研究的重点是利用脑电图(EEG)数据进行情感识别,并通过提出一种采用多级特征融合和基于多任务自动编码器的两阶段框架的新型架构,解决了基于 EEG 的情感识别中的主体依赖性变异性难题。第一阶段生成特定类别的数据,第二阶段利用这些数据进行模型训练。我们使用 SEED 数据集对所提出的模型进行了验证,结果表明,该模型的准确率达到了 99.4%,达到了最先进的水平。
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引用次数: 0
Optimization Algorithm for Physical Layer Security in Multiple Flying RISs-Based Systems 基于多飞行 RIS 的系统中物理层安全的优化算法
Pub Date : 2024-01-28 DOI: 10.1109/ICEIC61013.2024.10457158
Yuna Sim, S. Sin, Jina Ma, Kyunam Kim, Huaping Liu, Sangmi Moon, Intae Hwang
Recently, as data demand has increased due to the rapidly increasing demand for wireless devices and the influence of data traffic, various technologies are being developed to support it. Among them, in the case of millimeter wave (mmWave) frequencies with rich spectra and high data transmission rates, there is a problem of large path loss. As a result, there is a growing interest in unmanned aerial vehicle (UAV) and reconfigurable intelligent surfaces (RIS) that can be reconstructed advantageously to communicate wireless communication environments. Therefore, this paper introduces the penalty-based successive convex approximation (SCA) and minorization-maximization (MM) algorithms to optimize transmission beamforming vectors and RIS beamforming vectors in a large system consisting of multiple users, eavesdroppers, and a number of Flying RISs combining UAV and RIS.
近来,随着无线设备需求的快速增长和数据流量的影响,数据需求也随之增加,各种支持数据需求的技术也在不断发展。其中,毫米波(mmWave)频率具有丰富的频谱和较高的数据传输速率,但存在较大的路径损耗问题。因此,人们对无人机(UAV)和可重构智能表面(RIS)的兴趣日益浓厚,因为它们可以重构无线通信环境的优势。因此,本文介绍了基于惩罚的逐次凸近似(SCA)和最小化-最大化(MM)算法,以优化由多个用户、窃听者以及多个结合无人机和 RIS 的飞行 RIS 组成的大型系统中的传输波束成形向量和 RIS 波束成形向量。
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引用次数: 0
Longest Prefix Matching Using Longest-First Search in a Leaf-Pushing Trie 在推叶三角形中使用最长搜索进行最长前缀匹配
Pub Date : 2024-01-28 DOI: 10.1109/ICEIC61013.2024.10457170
Jinsol Lee, Hyesook Lim
This paper introduces a new algorithm for IP address lookup, a pivotal task for routers to determine the appropriate output link for each incoming packet. With the advent of classless inter-domain routing (CIDR) scheme, the IP address lookup problem encounters the challenge of efficiently finding the longest matching prefix (LMP) at wire-speed. While off-chip ternary content addressable memories (TCAMs) are commonly employed for this purpose, they have drawbacks, particularly in power consumption and large cost. To address this, our research explores algorithmic alternatives, focusing specifically on utilizing a Bloom filter (BF) stored in an on-chip memory and a hash table stored in an off-chip memory. We propose to perform the longest-first search for the Bloom filter storing every prefix in a leaf-pushing trie. Since prefixes are exclusively located at the leaves of a trie following the leaf-pushing procedure, querying the BF from the longest level of the trie is highly effective. The on-chip BF serves the role of avoiding unnecessary off-chip hash table accesses by producing negative results for non-existing nodes. We have constructed the proposed algorithm using C++ code and tested against real-world routing data from backbone routers. Our results demonstrate that, given a Bloom filter of sufficient size, the proposed algorithm requires only one off-chip hash table access on average for each IP address lookup.
本文介绍了一种新的 IP 地址查找算法,这是路由器为每个传入数据包确定适当输出链路的关键任务。随着无类域间路由(CIDR)方案的出现,IP 地址查找问题面临着以线速高效查找最长匹配前缀(LMP)的挑战。虽然通常采用片外三元内容可寻址存储器(TCAM)来实现这一目的,但它们也存在缺点,尤其是功耗大、成本高。为了解决这个问题,我们的研究探索了算法替代方案,特别侧重于利用存储在片上存储器中的布鲁姆过滤器(BF)和存储在片外存储器中的哈希表。我们建议对存储在推叶三元组中的每个前缀的布鲁姆过滤器执行最长优先搜索。由于前缀只位于推叶三元组的叶子上,因此从三元组的最长层查询 Bloom 过滤器非常有效。片上 BF 的作用是通过对不存在的节点产生负结果来避免不必要的片外哈希表访问。我们使用 C++ 代码构建了所提出的算法,并根据骨干路由器的实际路由数据进行了测试。我们的结果表明,在布鲁姆过滤器足够大的情况下,所提出的算法在每次 IP 地址查询中平均只需要一次片外哈希表访问。
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引用次数: 0
Artificial Neural Network-Based Compact Model for Circuit Simulation of a 4- Transistor Active Pixel Sensor Including Conversion Gain Prediction 基于人工神经网络的紧凑型模型,用于 4 晶体管有源像素传感器的电路仿真,包括转换增益预测
Pub Date : 2024-01-28 DOI: 10.1109/ICEIC61013.2024.10457179
Yohan Kim, Soyoung Kim
This paper presents an accurate compact model to simulate a 4-transistor active pixel sensor (APS) circuit to investigate the impacts of transistor output resistances and sensing node capacitances. The compact model includes an artificial neural network-based model for the asymmetric APS transistors and an accurate capacitance model at sensing node using 3D-parasitic extraction and compositional analysis. All models are implemented in Verilog-A, and the transient characteristics for reset, integration, and readout operations of CIS are successfully reproduced in the circuit simulation. The simulation results show how the sensing node fluctuation, conversion gain, output swing, and settling time are correlated to the light intensities, parasitic capacitances of layout, and output resistances of APS transistors. This SPICE-compatible compact model provides new insights into APS circuit design and layout optimization for the state-of-the-art CMOS image sensor technologies.
本文提出了一种精确的紧凑型模型,用于模拟 4 晶体管有源像素传感器(APS)电路,以研究晶体管输出电阻和传感节点电容的影响。该紧凑型模型包括一个基于人工神经网络的非对称 APS 晶体管模型,以及一个使用三维寄生提取和成分分析的精确传感节点电容模型。所有模型均在 Verilog-A 中实现,并在电路仿真中成功再现了 CIS 的复位、积分和读出操作的瞬态特性。仿真结果显示了传感节点波动、转换增益、输出摆幅和沉淀时间如何与光强度、布局的寄生电容和 APS 晶体管的输出电阻相关联。这个与 SPICE 兼容的紧凑型模型为最先进的 CMOS 图像传感器技术的 APS 电路设计和布局优化提供了新的见解。
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引用次数: 0
6G Repeaters for Non-Terrestrial Network 用于非地面网络的 6G 中继器
Pub Date : 2024-01-28 DOI: 10.1109/ICEIC61013.2024.10457257
Hoondong Noh, Hyungsik Ju, Junhwan Lee
This paper investigates required features for repeaters to enable robust and stable 6G non-terrestrial networks with various types of transceivers from hand-held user equipment to satellite. In this paper, we show that the 5G repeater cannot fully cover the 6G non-terrestrial network operation scenarios due to its stationary nature, optimized for the legacy terrestrial networks. By introducing new repeater features as suggested in this paper, it is expected that the 6G repeater will provide seamless connectivity as backhauls and fronthauls for NTN in near future.
本文研究了中继器所需的功能,以便通过从手持用户设备到卫星等各种类型的收发器,实现稳健而稳定的 6G 非地面网络。在本文中,我们表明 5G 中继器无法完全覆盖 6G 非地面网络的运行场景,这是因为它具有针对传统地面网络进行优化的固定特性。通过引入本文所建议的新中继器功能,预计在不久的将来,6G 中继器将为非地面网络提供无缝连接的回程和前传功能。
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引用次数: 0
Enhancing Defense Surveillance: Few-Shot Object Detection with Synthetically Generated Military Data 加强国防监视:利用合成生成的军事数据进行小目标检测
Pub Date : 2024-01-28 DOI: 10.1109/ICEIC61013.2024.10457124
Chanyeong Park, Seongjun Lee, Hankyul Choi, Donghyun Kim, Yunyoung Jeong, Joonki Paik
Acquiring military-related data to train object detection algorithms for defense surveillance can be highly challenging due to security restrictions. To overcome this challenge, we utilize a few-shot object detection approach that can identify objects using a limited number of examples, deviating from the standard object detection methods that typically require large datasets for training. To compensate for the limited availability of military data, we employ generative models to create synthetic military datasets. This artificially generated data is then used as a support set to train the few-shot object detection network. We assess our method using a self-created dataset that includes four categories: soldiers, tanks, helicopters, and fighter planes.
由于安全限制,获取军事相关数据来训练用于国防监控的物体检测算法极具挑战性。为了克服这一挑战,我们采用了一种几发物体检测方法,这种方法可以使用有限的示例识别物体,与通常需要大量数据集进行训练的标准物体检测方法不同。为了弥补军事数据的有限性,我们采用生成模型来创建合成军事数据集。然后,将这些人工生成的数据作为支持集来训练少镜头物体检测网络。我们使用自创的数据集对我们的方法进行了评估,该数据集包括四个类别:士兵、坦克、直升机和战斗机。
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引用次数: 0
A Review on Integrated RC Frequency References for IoT Applications 物联网应用中的集成 RC 频率基准综述
Pub Date : 2024-01-28 DOI: 10.1109/ICEIC61013.2024.10457145
Woojun Choi
This article presents a technical overview of on-chip RC frequency references, which achieve high energy efficiency and high frequency stability required for internet-of-things applications. Among such references, the frequency locked-loop (FLL) based references have achieved state-of-the-art performances. In the FLL, a large loop gain forces the loop to be locked to the time delay of the RC filter. As a result, the FLL output frequency is dominantly determined by the RC time constant without suffering from artifacts of analog front-end circuits. Furthermore, to compensate high temperature sensitivity of the on-chip resistor, digital FLL architectures based on digital temperature compensation are promising recently by extremely improving temperature inaccuracy. Various structures of RC frequency references are compared, and their performances are summarized.
本文介绍了片上 RC 频率基准的技术概览,这些基准可实现物联网应用所需的高能效和高频率稳定性。在这些基准中,基于频率锁定环(FLL)的基准已达到最先进的性能。在 FLL 中,较大的环路增益迫使环路锁定在 RC 滤波器的时间延迟上。因此,FLL 输出频率主要由 RC 时间常数决定,而不会受到模拟前端电路的影响。此外,为了补偿片内电阻器的高温度敏感性,基于数字温度补偿的数字 FLL 架构最近大有可为,因为它极大地改善了温度误差。本文对各种 RC 频率基准结构进行了比较,并总结了它们的性能。
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引用次数: 0
Image Generation of Ultra-Thin Polymer Films Using Diffusion Models from Tensile Testing for Mechanical Failure Prediction 利用拉伸测试的扩散模型生成超薄聚合物薄膜的图像,用于机械故障预测
Pub Date : 2024-01-28 DOI: 10.1109/ICEIC61013.2024.10457216
S. Suh, Haebom Lee, Tae Yeob Kang
The mechanical reliability of ultra-thin polymer films, crucial in microelectronic applications, poses significant challenges. Polymethyl methacrylate (PMMA) is widely utilized in this context, yet conventional methods assessing mechanical reliability are limited in scope, often failing to predict failure accurately. Furthermore, these methods neglect the complex nanoscale physics of polymer films, which may lead to the formation of wrinkles during plastic deformation. In this paper, we present a novel approach that combines diffusion models with measured tensile properties to generate sequential PMMA images, enabling the prediction of mechanical failure in ultra-thin films. The proposed diffusion model not only accurately generates PMMA images from tensile testing but also simulates wrinkle formation, providing a more comprehensive and accurate assessment of PMMA thin film integrity. This research offers a promising avenue for enhancing the mechanical reliability of microelectronic devices.
超薄聚合物薄膜在微电子应用中至关重要,其机械可靠性是一项重大挑战。聚甲基丙烯酸甲酯(PMMA)在这方面应用广泛,但评估机械可靠性的传统方法范围有限,往往无法准确预测故障。此外,这些方法还忽视了聚合物薄膜复杂的纳米级物理特性,这可能会导致在塑性变形过程中形成皱纹。在本文中,我们提出了一种新方法,将扩散模型与测量的拉伸特性相结合,生成连续的 PMMA 图像,从而预测超薄薄膜的机械故障。所提出的扩散模型不仅能通过拉伸测试准确生成 PMMA 图像,还能模拟皱纹的形成,从而更全面、准确地评估 PMMA 薄膜的完整性。这项研究为提高微电子器件的机械可靠性提供了一条前景广阔的途径。
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引用次数: 0
Design of a Low-Jitter Digitally Controlled Oscillator With Supply Noise Compensation 设计具有电源噪声补偿功能的低抖动数字控制振荡器
Pub Date : 2024-01-28 DOI: 10.1109/ICEIC61013.2024.10457171
Min-Ji Kim, Won-Young Lee
This paper proposes a clock buffer with compensator technology to achieve low-jitter design in the digitally controlled oscillator (DCO). The compensator consists of a PMOS transistor and a MOS capacitor. The compensator that provides the opposite sensitivity to the delay cell is connected to the node between each delay cell. The compensated DCO has a reduced jitter of approximately 12.7-ps (peak-to-peak) based on the 3-GHz output frequency under ±0.1% VDD noise.
本文提出了一种采用补偿器技术的时钟缓冲器,以实现数字控制振荡器(DCO)的低抖动设计。补偿器由一个 PMOS 晶体管和一个 MOS 电容器组成。提供与延迟单元相反灵敏度的补偿器连接到每个延迟单元之间的节点上。在 ±0.1% VDD 噪声条件下,基于 3 GHz 输出频率,补偿后的 DCO 抖动降低了约 12.7-ps(峰峰值)。
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引用次数: 0
Construction of Multi-View Capturing System for Laparotomy 构建用于腹腔手术的多视角捕捉系统
Pub Date : 2024-01-28 DOI: 10.1109/ICEIC61013.2024.10457148
Ryotaro Takatsuki, Chun Xie, Koichiro Kumano, Daichi Kitazuch, Shinji Hashimoto, Tatsuya Oda, Itaru Kitahara
While surgical videos are crucial for training young surgeons, traditional video capturing methods often suffer from significant occlusions caused by the movements of surgeons' heads and hands. Hence the surgical field, which is important for the transmission of procedural skills, is often invisible in the videos. To solve this problem, this paper proposes a multi-view capturing system formed by a ring-shape camera array. The occlusion can be avoided by shifting the viewpoints between cameras views. We also inducted bullet-time video technology to realize smooth and intuitive camera switching. Clinical experiments in the operating room are conducted to verify the effectiveness of the capturing method against the occlusion problem.
虽然手术视频对年轻外科医生的培训至关重要,但传统的视频捕捉方法往往会因外科医生头部和手部的移动而造成严重遮挡。因此,视频中往往看不到对手术技能传授非常重要的手术视野。为解决这一问题,本文提出了一种由环形摄像机阵列组成的多视角捕捉系统。通过摄像机视角之间的视点移动,可以避免遮挡。我们还引入了子弹时间视频技术,以实现流畅、直观的摄像头切换。我们在手术室中进行了临床实验,以验证该捕捉方法对遮挡问题的有效性。
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引用次数: 0
期刊
2024 International Conference on Electronics, Information, and Communication (ICEIC)
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