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Self-HCL: Self-Supervised Multitask Learning with Hybrid Contrastive Learning Strategy for Multimodal Sentiment Analysis Self-HCL:采用混合对比学习策略进行多模态情感分析的自我监督多任务学习
Pub Date : 2024-07-18 DOI: 10.3390/electronics13142835
Youjia Fu, Junsong Fu, Huixia Xue, Zihao Xu
Multimodal Sentiment Analysis (MSA) plays a critical role in many applications, including customer service, personal assistants, and video understanding. Currently, the majority of research on MSA is focused on the development of multimodal representations, largely owing to the scarcity of unimodal annotations in MSA benchmark datasets. However, the sole reliance on multimodal representations to train models results in suboptimal performance due to the insufficient learning of each unimodal representation. To this end, we propose Self-HCL, which initially optimizes the unimodal features extracted from a pretrained model through the Unimodal Feature Enhancement Module (UFEM), and then uses these optimized features to jointly train multimodal and unimodal tasks. Furthermore, we employ a Hybrid Contrastive Learning (HCL) strategy to facilitate the learned representation of multimodal data, enhance the representation ability of multimodal fusion through unsupervised contrastive learning, and improve the model’s performance in the absence of unimodal annotations through supervised contrastive learning. Finally, based on the characteristics of unsupervised contrastive learning, we propose a new Unimodal Label Generation Module (ULGM) that can stably generate unimodal labels in a short training period. Extensive experiments on the benchmark datasets CMU-MOSI and CMU-MOSEI demonstrate that our model outperforms state-of-the-art methods.
多模态情感分析(MSA)在客户服务、个人助理和视频理解等许多应用中发挥着至关重要的作用。目前,有关 MSA 的大部分研究都集中在多模态表征的开发上,这主要是由于 MSA 基准数据集中缺乏单模态注释。然而,仅仅依靠多模态表征来训练模型的结果是,由于对每个单模态表征的学习不足,导致性能不理想。为此,我们提出了 Self-HCL,它首先通过单模态特征增强模块(UFEM)优化从预训练模型中提取的单模态特征,然后使用这些优化特征联合训练多模态和单模态任务。此外,我们还采用了混合对比学习(HCL)策略来促进多模态数据的学习表示,通过无监督对比学习来增强多模态融合的表示能力,并通过有监督对比学习来提高模型在无单模态注释情况下的性能。最后,基于无监督对比学习的特点,我们提出了一种新的单模态标签生成模块(ULGM),它能在较短的训练期内稳定地生成单模态标签。在基准数据集 CMU-MOSI 和 CMU-MOSEI 上进行的大量实验表明,我们的模型优于最先进的方法。
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引用次数: 0
CuFP: An HLS Library for Customized Floating-Point Operators CuFP:用于定制浮点运算器的 HLS 库
Pub Date : 2024-07-18 DOI: 10.3390/electronics13142838
Fahimeh Hajizadeh, Tarek Ould-Bachir, Jean Pierre David
High-Level Synthesis (HLS) tools have revolutionized FPGA application development by providing a more efficient and streamlined approach, significantly impacting digital design methodologies. Despite the capability of FPGAs to customize numerical representations in data paths, most HLS projects have focused on fixed-point precision, while floating-point representations remain limited to vendor-provided single, double, and half-precision formats. This paper proposes a customized floating-point library compatible with HLS to address these limitations. This library allows programmers to define the number of exponent and mantissa bits at compile time, providing greater flexibility and enabling the use of mixed precision. Moreover, this library includes optimized implementations of common components such as vector summation (VSUM), dot-product (DP), and matrix-vector multiplication (MVM). Results demonstrate that the proposed library reduces latency and resource utilization compared to vendor IP blocks, particularly in VSUM, DP, and MVM operations. For example, the mvm operation involving a 32 × 32 matrix, using vendor IP requires 22 clock cycles, whereas CuFP completes the same task in just 7 clock cycles, using approximately 60% fewer DSPs, 10% fewer LUTs, and 60% fewer FFs.
高级合成(HLS)工具通过提供更高效、更精简的方法,彻底改变了 FPGA 应用开发,对数字设计方法产生了重大影响。尽管 FPGA 能够在数据路径中定制数字表示法,但大多数 HLS 项目都侧重于定点精度,而浮点表示法仍局限于供应商提供的单精度、双精度和半精度格式。本文提出了一种与 HLS 兼容的定制浮点库,以解决这些限制。该库允许程序员在编译时定义指数和尾数的位数,从而提供了更大的灵活性,并允许使用混合精度。此外,该库还包括对矢量求和(VSUM)、点积(DP)和矩阵-矢量乘法(MVM)等常用组件的优化实现。结果表明,与供应商的 IP 模块相比,建议的库降低了延迟和资源利用率,特别是在 VSUM、DP 和 MVM 操作方面。例如,涉及 32 × 32 矩阵的 MVM 操作,使用供应商 IP 需要 22 个时钟周期,而 CuFP 仅需 7 个时钟周期就能完成相同的任务,使用的 DSP、LUT 和 FF 分别减少了约 60%、10% 和 60%。
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引用次数: 0
Research on Boost-Type Cascaded H-Bridge Inverter and Its Power Control in Photovoltaic Power Generation System 光伏发电系统中的升压型级联 H 桥逆变器及其功率控制研究
Pub Date : 2024-07-18 DOI: 10.3390/electronics13142819
Jiayu Kang, Miao Yu, Boyang Sun, Yongchao Xiao, Baoquan Liu
The cascaded H-bridge (CHB) inverter has become pivotal in grid-connected photovoltaic (PV) systems owing to its numerous benefits. Typically, DC–DC converters are employed to boost the input voltage in grid-connected systems to meet the grid’s higher voltage requirements, but this approach increases equipment size and cost. To enhance inverter efficiency, this paper proposes a boost-type, three-phase CHB PV grid-connected inverter. This design can raise the input voltage and satisfy grid requirements with only a few additional components. Additionally, PV environmental fluctuations can cause variations in PV power generation, leading to a power imbalance in the inverter and potentially affecting the stability of the PV system. Based on this, we consider grid voltage fluctuations induced by unbalanced power output from the inverter and propose an improved control method based on the superposition of zero-sequence components. Finally, we construct a simulation model and conduct experimental verification using the MATLAB/Simulink platform. The validation results demonstrate that this topology reduces equipment volume and effectively enhances the efficiency of PV power generation systems. Furthermore, the designed control method ensures system stability while effectively mitigating power imbalances caused by PV module and grid voltage fluctuations.
级联 H 桥(CHB)逆变器因其众多优点而在并网光伏(PV)系统中举足轻重。通常,在并网系统中采用直流-直流转换器来提升输入电压,以满足电网对电压的更高要求,但这种方法会增加设备的体积和成本。为了提高逆变器的效率,本文提出了一种升压型三相 CHB 光伏并网逆变器。这种设计只需增加几个组件,就能提高输入电压,满足电网要求。此外,光伏环境波动会引起光伏发电量的变化,导致逆变器功率不平衡,并可能影响光伏系统的稳定性。在此基础上,我们考虑了逆变器不平衡功率输出引起的电网电压波动,并提出了一种基于零序分量叠加的改进控制方法。最后,我们利用 MATLAB/Simulink 平台构建了一个仿真模型并进行了实验验证。验证结果表明,这种拓扑结构减少了设备体积,有效提高了光伏发电系统的效率。此外,所设计的控制方法在确保系统稳定性的同时,还能有效缓解光伏组件和电网电压波动造成的功率不平衡。
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引用次数: 0
Design and Implementation of Time Metrology Vocabulary Ontology 时间计量词汇本体的设计与实现
Pub Date : 2024-07-18 DOI: 10.3390/electronics13142828
Mingxin Du, Boyong Gao, Shuaizhe Wang, Z. Liu, Xingchuang Xiong, Yuqi Luo
The advent of the digital era has put forward an urgent need for the digitization of metrology, and the digitization of metrology vocabularies is one of the fundamental and critical steps to achieve the digital transformation of metrology. Metrology vocabulary ontology can facilitate the exchange and sharing of data and is an important way to achieve the digitization of metrology vocabulary. Time metrology vocabulary is a special and important part of the whole metrology vocabulary, and constructing its ontology can reduce the problems caused by semantic confusion, help to smooth the progress of metrological work, and promote the digital transformation of metrology. Currently, the existing ontology for metrology vocabulary is primarily the MetrOnto ontology, but it lacks a systematic description of the vocabulary of time metrology. To address this issue, improve the metrology vocabulary ontology, and lay the groundwork for realizing the digital transformation of metrology, this paper takes time metrology vocabulary as the research object; proposes a classification principle that meets the inherent requirements of time transfer in the digital world; adopts the seven-step method of ontology construction to construct an ontology specialized in time metrology vocabulary, OTMV (Ontology of Time Metrology Vocabulary); and conducts an ontology consistency check, a machine-readable validation, a machine-understandable primary validation, and information retrieval validation on it. The validation results show that OTMV has correct syntactic and logical consistency and is capable of realizing machine-readable, machine-understandable, and information retrieval. The construction of this ontology provides a systematic description of the time measurement vocabulary that can address the problem of word expression of time metrology vocabulary in the digital world and lay the foundation for the digitization of our metrology vocabulary, as well as its readability, understandability, and sharing.
数字化时代的到来对计量数字化提出了迫切需求,而计量词汇的数字化是实现计量数字化转型的基础和关键步骤之一。计量词汇本体可以促进数据的交换和共享,是实现计量词汇数字化的重要途径。时间计量词汇是整个计量词汇中特殊而重要的一部分,构建其本体可以减少因语义混淆带来的问题,有助于计量工作的顺利进行,推动计量数字化转型。目前,现有的计量词汇本体主要是 MetrOnto 本体,但缺乏对时间计量词汇的系统描述。为解决这一问题,完善计量词汇本体,为实现计量数字化转型奠定基础,本文以时间计量词汇为研究对象,提出了符合数字化世界时间传递内在要求的分类原则;采用本体构建七步法,构建了时间计量词汇专业本体 OTMV(Ontology of Time Metrology Vocabulary),并对其进行了本体一致性检查、机读验证、机解初级验证和信息检索验证。验证结果表明,OTMV 具有正确的语法和逻辑一致性,能够实现机器可读、机器可理解和信息检索。该本体的构建为时间计量词汇提供了系统的描述,可以解决数字化世界中时间计量词汇的词语表达问题,为我国计量词汇的数字化及其可读性、可理解性和共享性奠定基础。
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引用次数: 0
A ±0.15 °C (3σ) Inaccuracy CMOS Smart Temperature Sensor from 40 °C to 125 °C with a 10 ms Conversion Time-Leveraging an Adaptative Decimation Filter in 65 nm CMOS Technology 采用 65 纳米 CMOS 技术的 ±0.15 °C (3σ) 精度 CMOS 智能温度传感器,转换时间为 10 ms,温度范围为 40 °C 至 125 °C - 利用自适应抽取滤波器
Pub Date : 2024-07-18 DOI: 10.3390/electronics13142823
Fábio Passos, Gabriel Santos, Marcelino Bicho dos Santos
This paper presents the design and implementation of a highly accurate smart temperature sensor designed in 65 nm CMOS technology. The sensor exhibits a ±0.15 °C (3σ) error across a wide temperature range from −40 °C to 125 °C, catering to diverse application needs. Leveraging advanced CMOS technology, the sensor employs an adaptive decimation filter that allows us to control the conversion time, ensuring that the accuracy of the conversion is maintained even in challenging conditions. The proposed sensor architecture integrates advanced techniques for temperature sensing for improved accuracy and reliability. Through meticulous circuit design and the usage of dynamic element matching, chopping, and calibration/trimming, the sensor demonstrates exceptional performance characteristics, making it suitable for various industrial, automotive, and consumer electronics applications demanding high precision temperature monitoring.
本文介绍了采用 65 纳米 CMOS 技术设计的高精度智能温度传感器的设计与实现。该传感器在-40 °C至125 °C的宽温度范围内显示出±0.15 °C(3σ)的误差,可满足各种应用需求。利用先进的 CMOS 技术,该传感器采用了自适应抽取滤波器,使我们能够控制转换时间,确保即使在具有挑战性的条件下也能保持转换精度。拟议的传感器结构集成了先进的温度传感技术,从而提高了精度和可靠性。通过精心的电路设计以及动态元件匹配、斩波和校准/微调的使用,该传感器显示出卓越的性能特点,使其适用于要求高精度温度监测的各种工业、汽车和消费电子应用。
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引用次数: 0
Design and Polyphase Implementation of Rotationally Invariant 2D FIR Filter Banks Based on Maximally Flat Prototype 基于最大平坦原型的旋转不变二维 FIR 滤波器组的设计与多相实现
Pub Date : 2024-07-18 DOI: 10.3390/electronics13142829
R. Matei, D. Chiper
This paper presents a design approach for a class of rotationally invariant 2D filters of finite impulse response (FIR) type, which may form circular filter banks with imposed specifications. The design is conducted analytically in the frequency domain and starts from a maximally flat low-pass prototype based on a trapezoidal function with specified width and slope. Its trigonometric approximation is derived using the Fourier series expressed analytically, truncated to a number of terms depending on the imposed accuracy. The chosen trapezoidal function leads to significantly smaller ringing oscillations compared to the approximation of an ideal square characteristic. By shifting the LP prototype to various frequencies, the desired filter bank is generated, where the component filters have a specified bandwidth, steepness, and overlap. The 2D circular filter bank results by applying a specific frequency mapping to the factored frequency response of the prototype filter. Thus, the frequency responses of the 2D filter bank components will also result in factored form, which is an advantage in implementation. The circular filter bank is designed in two versions, a uniform and a non-uniform (dyadic) filter bank. The designed filter banks have accurate shapes and relatively low order for the specified parameters. These filter banks are then used in a sub-band image decomposition application. Finally, an efficient implementation of these filters at the system level is proposed based on polyphase decomposition and the block filtering technique with a high degree of parallelism, resulting in a lower computational complexity.
本文介绍了一类旋转不变的有限脉冲响应(FIR)型二维滤波器的设计方法,这些滤波器可组成具有特定规格的圆形滤波器组。设计是在频域内通过分析进行的,从一个基于梯形函数的最大平坦低通原型开始,具有指定的宽度和斜率。它的三角函数近似值是利用傅里叶级数分析得出的,截断的项数取决于规定的精度。与理想的方形特性近似值相比,所选的梯形函数可显著降低振铃振荡。通过将 LP 原型移至不同频率,就能生成所需的滤波器组,其中的滤波器组件具有指定的带宽、陡度和重叠度。通过对原型滤波器的因子频率响应应用特定的频率映射,就会产生二维圆形滤波器组。因此,二维滤波器组元件的频率响应也将以因子形式产生,这在实施过程中是一个优势。圆形滤波器组的设计有两种版本,一种是均匀滤波器组,另一种是非均匀(二元)滤波器组。设计出的滤波器组形状精确,阶数相对较低,符合指定参数。这些滤波器组随后被用于子带图像分解应用中。最后,基于多相分解和具有高度并行性的块滤波技术,提出了在系统级有效实现这些滤波器的方法,从而降低了计算复杂度。
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引用次数: 0
Three-Dimensional Documentation and Virtual Web Navigation System for the Indoor and Outdoor Exploration of a Complex Cultural Heritage Site 用于复杂文化遗址室内外探索的三维文档和虚拟网络导航系统
Pub Date : 2024-07-18 DOI: 10.3390/electronics13142833
M. Aricò, G. Dardanelli, M. La Guardia, M. Lo Brutto
The spread of new survey strategies for the documentation and 3D reconstruction of complex cultural heritage sites enables the implementation of virtual web navigation systems that are useful for their virtual fruition. In particular, remote indoor/outdoor exploration enhances our knowledge of cultural heritage sites, even in inaccessible or difficult-to-visit states. However, the 3D data acquisition of complex sites for documentation remains a challenge, and the 3D virtual exploration of these datasets is often limited to property software implementations. This work describes the 3D documentation and construction of an indoor/outdoor web visualization system based on the WebGL open-source technology of a complex cultural heritage site. The case study regards the complex of “Santa Maria della Grotta” in Marsala (Italy), which is composed of a church that is located mostly underground and is connected to a human-dug hypogea on the site of a Punic necropolis. The aim of the work was to obtain detailed 3D documentation of the indoor and outdoor spaces through the integration of mobile laser scanning and aerial photogrammetry survey, and to develop a virtual web navigation system for the remote exploration of the site. The indoor/outdoor web navigation system provides users with a simple, web-browser-based 3D visualization, enabling the dissemination of the monuments’ knowledge on the web through an economically sustainable solution based on open-source technologies.
为记录和三维重建复杂的文化遗址而采用的新勘测战略的推广,使得虚拟网络导航系 统的实施成为可能。特别是,远程室内/室外勘探增强了我们对文化遗址的了解,即使是在交通不便或难以到达的地方。然而,对复杂遗址进行三维数据采集以进行记录仍然是一项挑战,而且对这些数据集进行三维虚拟探索往往仅限于地产软件的实施。本作品介绍了基于 WebGL 开源技术的复杂文化遗址三维记录和室内/室外网络可视化系统的构建。案例研究涉及马萨拉(意大利)的 "Santa Maria della Grotta "建筑群,该建筑群由一座教堂组成,教堂大部分位于地下,并与布匿古城遗址上的人挖洞穴相连。这项工作的目的是通过整合移动激光扫描和航空摄影测量,获得室内外空间的详细三维文件,并开发一个虚拟网络导航系统,用于遗址的远程勘探。室内/室外网络导航系统为用户提供了一个简单的、基于网络浏览器的三维可视化系统,通过基于开源技术的经济上可持续的解决方案,在网络上传播古迹知识。
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引用次数: 0
Performance Analysis of Dual Three-Phase Synchronous Reluctance Motor According to Winding Configuration 根据绕组配置对双三相同步磁阻电机的性能分析
Pub Date : 2024-07-18 DOI: 10.3390/electronics13142821
Chaelim Jeong
This manuscript examines the output characteristics of a dual three-phase synchronous reluctance motor (DT-SynRM) according to two winding arrangements under normal and half-control modes. In the case of the DT-SynRM, it can operate by using all of the dual three-phase systems (the normal control) or one of the dual three-phase systems (the half control). In this paper, conventional winding function theory (WFT) is applied, because the output characteristic can be predicted by the inductance behavior. According to the WFT, the inductance value can be affected by the winding function, the turn function, and the inverse air gap function. As a result, the rotor barrier shape as well as the winding configuration are the most important factors that have an effect on the performance of the DT-SynRM. Therefore, the effect of the rotor barrier design on the performance is analyzed when the winding configuration and control mode are different. Finally, the validity of the torque characteristic is substantiated through experimental verification.
本手稿研究了双三相同步磁阻电机(DT-SynRM)在正常和半控制模式下两种绕组排列的输出特性。就 DT-SynRM 而言,它可以通过使用所有双三相系统(正常控制)或其中一个双三相系统(半控制)来运行。本文采用传统的绕组函数理论(WFT),因为输出特性可以通过电感行为预测。根据 WFT,电感值会受到绕组函数、匝函数和反气隙函数的影响。因此,转子屏障形状和绕组配置是影响 DT-SynRM 性能的最重要因素。因此,我们分析了当绕组配置和控制模式不同时,转子屏障设计对性能的影响。最后,通过实验验证了扭矩特性的有效性。
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引用次数: 0
A Multivariate Time Series Prediction Method Based on Convolution-Residual Gated Recurrent Neural Network and Double-Layer Attention 基于卷积-残差门控递归神经网络和双层注意力的多变量时间序列预测方法
Pub Date : 2024-07-18 DOI: 10.3390/electronics13142834
Chuxin Cao, Jianhong Huang, Man Wu, Zhizhe Lin, Yan Sun
In multivariate and multistep time series prediction research, we often face the problems of insufficient spatial feature extraction and insufficient time-dependent mining of historical series data, which also brings great challenges to multivariate time series analysis and prediction. Inspired by the attention mechanism and residual module, this study proposes a multivariate time series prediction method based on a convolutional-residual gated recurrent hybrid model (CNN-DA-RGRU) with a two-layer attention mechanism to solve the multivariate time series prediction problem in these two stages. Specifically, the convolution module of the proposed model is used to extract the relational features among the sequences, and the two-layer attention mechanism can pay more attention to the relevant variables and give them higher weights to eliminate the irrelevant features, while the residual gated loop module is used to extract the time-varying features of the sequences, in which the residual block is used to achieve the direct connectivity to enhance the expressive power of the model, to solve the gradient explosion and vanishing scenarios, and to facilitate gradient propagation. Experiments were conducted on two public datasets using the proposed model to determine the model hyperparameters, and ablation experiments were conducted to verify the effectiveness of the model; by comparing it with several models, the proposed model was found to achieve good results in multivariate time series-forecasting tasks.
在多变量、多步骤时间序列预测研究中,我们经常面临空间特征提取不足、历史序列数据的时间依赖性挖掘不足等问题,这也给多变量时间序列分析和预测带来了巨大挑战。受注意力机制和残差模块的启发,本研究提出了一种基于卷积-残差门控递归混合模型(CNN-DA-RGRU)的多变量时间序列预测方法,并采用双层注意力机制来解决这两个阶段的多变量时间序列预测问题。具体来说,所提模型的卷积模块用于提取序列间的关系特征,双层关注机制可以更多地关注相关变量,并赋予其更高的权重,以消除不相关的特征;残差门控循环模块用于提取序列的时变特征,其中残差块用于实现直接连接,以增强模型的表现力,解决梯度爆炸和消失的情况,并促进梯度传播。利用所提出的模型在两个公共数据集上进行了实验,以确定模型超参数,并进行了消融实验以验证模型的有效性;通过与多个模型的比较,发现所提出的模型在多变量时间序列预测任务中取得了良好的效果。
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引用次数: 0
Forensic Analysis for Cybersecurity of Smart Home Environments with Smart Wallpads 利用智能壁板对智能家居环境的网络安全进行取证分析
Pub Date : 2024-07-18 DOI: 10.3390/electronics13142827
Sungbum Kim, Jewan Bang, Taeshik Shon
Various smart home companies are adding displays to smart home control devices and are also releasing smart home control functions for devices with displays. Since smart home management devices with displays are multifunctional, they can store more digital evidence than traditional management devices. Therefore, we propose a smart home environment forensic methodology focused on wallpads, which are smart home management devices with displays. And we validate the proposed methodology by building a smart home environment centered around wallpads and conducting tests with three vendors (Samsung, Kocom, and Commax). Following the proposed methodology, we identified the software and hardware specifications of devices within the testbed, particularly the wallpads. Based on this, we were able to extract network packets, disk images, and individual files stored internally using methods such as packet capture, vulnerability exploits, serial ports, and chip-off. Through analysis, we confirmed that significant user-related information and videos are stored in these control devices. The digital evidence obtained through the proposed methodology can be used as critical legal evidence, and this study contributes to efficiently analyzing important security issues and evidential data in various smart home IoT environments.
各家智能家居公司都在为智能家居控制设备添加显示屏,同时也在为带显示屏的设备发布智能家居控制功能。由于带显示屏的智能家居管理设备具有多功能性,与传统的管理设备相比,它们可以存储更多的数字证据。因此,我们提出了一种智能家居环境取证方法,主要针对带显示屏的智能家居管理设备--壁板。我们构建了一个以壁板为中心的智能家居环境,并与三家供应商(三星、Kocom 和 Commax)进行了测试,从而验证了所提出的方法。按照建议的方法,我们确定了测试平台内设备(尤其是壁板)的软件和硬件规格。在此基础上,我们使用数据包捕获、漏洞利用、串行端口和芯片关闭等方法提取了网络数据包、磁盘图像和内部存储的单个文件。通过分析,我们确认这些控制设备中存储了大量与用户相关的信息和视频。本研究有助于有效分析各种智能家居物联网环境中的重要安全问题和证据数据。
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引用次数: 0
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