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2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)最新文献

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Exploring Generative Adversarial Networks for Photo-to-Anime Image-to-Image Translation: A Comparative Study 探索生成对抗网络在图像到动画的图像到图像翻译:一个比较研究
Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00055
Pratamagusta Parawita Muhammad Dharmawan, Chuan-Wang Chang
Generative Adversarial Networks (GAN) is a generative modeling approach with the ability to learn highly complex data. Particularly, they don’t require immediate pairing between the data in input and output domains. This property makes it ideal for image translation tasks. Image translation from photo image into anime style images using GAN is a fast and efficient way to generate art for creative industries. Recently, some algorithms such as U-GAT-IT, CycleGAN, AnimeGAN, and CartoonGAN emerged as few algorithms to accomplish this particular task. The purpose of this paper is to compare the performance of these algorithms in photo-to-anime styled image-to-image translation and discuss the results these algorithms in image-to-image translation task between photo image domain into anime image domain.
生成对抗网络(GAN)是一种生成建模方法,具有学习高度复杂数据的能力。特别是,它们不需要在输入和输出域中的数据之间立即配对。此属性使其成为图像翻译任务的理想选择。使用GAN将照片图像转换为动画风格的图像是一种快速有效的方式,可以为创意产业生成艺术。最近,一些算法如U-GAT-IT、CycleGAN、AnimeGAN和CartoonGAN作为少数算法出现,以完成这一特定任务。本文的目的是比较这些算法在照片到动画样式的图像到图像的翻译中的性能,并讨论这些算法在照片图像域到动画图像域之间的图像到图像的翻译任务中的结果。
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引用次数: 0
On-chip polarization-independent nanophotonics mode splitter and converter enabled by subwavelength metamaterials 基于亚波长超材料的片上偏振无关纳米光子学模式分路器和转换器
Pub Date : 2023-06-01 DOI: 10.1109/is3c57901.2023.00066
Zhenzhao Guo, Ya-Chun Yu, Shengbao Wu, Jinbiao Xiao
We propose the first polarization-independent mode splitter and converter by using subwavelength grating metamaterials, realizing the 3-dB splitting and mode-order conversion, simultaneously. Simulated insertion losses and crosstalks below 0.75 dB and −14.5dB over a 70-nm bandwidth are achieved for both TE and TM modes.
利用亚波长光栅超材料,首次实现了与偏振无关的模式分路器和转换器,同时实现了3db的分路和模阶转换。在70 nm带宽下,模拟的插入损耗和串扰均低于0.75 dB和- 14.5dB,适用于TE和TM模式。
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引用次数: 0
Apply Masked-attention Mask Transformer to Instance Segmentation in Pathology Images 将掩码-注意力掩码变换应用于病理图像的实例分割
Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00098
Jia-Chun Sheng, Yiping Liao, Chun-Rong Huang
Instance segmentation can be applied for the discrimination and diagnosis of cancer cells in pathology images. Accurate segmentation of each pathological cell in the pathology images can improve the efficiency of clinical diagnosis. In this paper, we aim to evaluate the state-of-the-art transformer-based instance segmentation method, masked-attention mask transformer (Mask2Former)[1], on pathology datasets. With the pretrained model of Mask2Former on the natural image instance segmentation dataset, we show that Mask2Former can be adaptive to small pathological datasets and achieve comparable or even better instance segmentation performance compared with the state-of-the-art task-specific pathology image instance segmentation methods.
实例分割可用于病理图像中癌细胞的识别和诊断。对病理图像中每个病理细胞进行准确的分割,可以提高临床诊断的效率。在本文中,我们的目标是在病理数据集上评估最先进的基于变压器的实例分割方法,掩码-注意力掩码变压器(Mask2Former)[1]。通过在自然图像实例分割数据集上预训练的Mask2Former模型,我们证明了Mask2Former可以自适应小型病理数据集,并且与最先进的特定任务病理图像实例分割方法相比,可以获得相当甚至更好的实例分割性能。
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引用次数: 0
Vanishing Points Detection with Line Segments of Gaussian Sphere 高斯球线段的消失点检测
Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00021
Kei Masaoka, Irawati Nurmala Sari, Weiwei Du
Depth estimation using vanishing points is important in computer vision and has been widely used in various applications such as robotics and autonomous driving. A vanishing point is a point in the image where parallel lines appear to converge to a single point in 3D space. The detection of vanishing points in images plays a crucial role in estimating the depth of a scene. However, the accuracy of vanishing point detection is often affected by noisy or unconverged line segments detected by the line detectors. The problem with using line detectors is that they can produce noisy or unconverged line segments, leading to a decrease in the accuracy of vanishing point detection. Therefore, it is important to develop a method to extract accurate vanishing points from noisy line segments. This paper proposes an algorithm to detect vanishing points by projecting line segments to Gaussian sphere. The proposed method follows the steps: (1) Line segment detection by Mobile LSD [1], (2) Classifying line segments based on their angle, and (3) Projecting the classified line segments onto a Gaussian sphere and converting them into a 2D image. In the context of this transformed 2D image, it is postulated that the vanishing point corresponds to the region in which the line segments exhibit the greatest degree of overlap. In other words, the proposal does not need to compute all intersection points from line segments and recognize the vanishing points from the intersection points. The proposal can not only improves the accuracy but also reduces the time in vanishing points detection by the experiments.
基于消失点的深度估计在计算机视觉中非常重要,在机器人和自动驾驶等领域有着广泛的应用。消失点是图像中的一个点,其中平行线似乎在三维空间中收敛到一个点。图像中消失点的检测是估计景深的关键。然而,消失点检测的准确性经常受到线检测器检测到的有噪声或不收敛线段的影响。使用线检测器的问题是,它们可以产生噪声或不收敛的线段,导致消失点检测的准确性下降。因此,开发一种从噪声线段中提取准确消失点的方法非常重要。提出了一种将线段投影到高斯球上检测消失点的算法。该方法采用移动LSD[1]进行线段检测,根据线段的角度对线段进行分类,将分类后的线段投影到高斯球上并转换成二维图像。在这个变换后的二维图像的背景下,假定消失点对应于线段表现出最大程度重叠的区域。换句话说,该方案不需要从线段中计算所有的交点,也不需要从交点中识别消失点。实验结果表明,该方法不仅提高了消失点检测的精度,而且缩短了消失点检测的时间。
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引用次数: 0
Analyzing Voice Quality with Multi-Dimensional Voice Program for Disease Determination 用多维语音程序分析语音质量用于疾病诊断
Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00054
Rahmi Liza, Chen-Kun Tsung
Multi-Dimensional Voice Program (MDVP) parameters are very popular among physicians/clinicians to detect vocal pathologies and analyze various diseases of the vocal cords. In this paper, voice pathologies are automatically detected using the parameters of the MDVP. However, MDVP is commercial software, so this work is trying to build MDVP using Python to extract MDVP parameters useful for various experiments, automatic detection of sound pathologies, and automatic classification of voice recognition. This study evaluates MDVP parameters and applies the XGBoost model as a classification method to analyze and classify diseases. This work considers three sample data, polyps, nodules, and Reinke edema, popular in clinical vocal cords diseases, from Saarbruecken Voice Database (SVD) for data testing and training. Test results demonstrate the excellent ability of MDVP’s parameter extraction to identify healthy voices and obtain accurate classification results to discriminate between healthy voices and pathological voices. The best overall accuracy is 98% using the XGBoost classifier.
多维声音程序(MDVP)参数在医生/临床医生中非常流行,用于检测声带病理和分析各种声带疾病。本文利用MDVP的参数自动检测语音病理。然而,MDVP是商业软件,因此本工作试图使用Python构建MDVP,以提取对各种实验有用的MDVP参数,自动检测声音病理,以及语音识别的自动分类。本研究对MDVP参数进行评价,并将XGBoost模型作为一种分类方法对疾病进行分析和分类。本文从Saarbruecken Voice Database (SVD)中选取临床声带疾病中常见的息肉、结节和Reinke水肿三种样本数据进行数据测试和训练。实验结果表明,MDVP的参数提取方法能够很好地识别健康声音,并获得准确的分类结果来区分健康声音和病理声音。使用XGBoost分类器,最佳的总体准确率为98%。
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引用次数: 0
Copyright Page 版权页
Pub Date : 2023-06-01 DOI: 10.1109/is3c57901.2023.00003
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引用次数: 0
Intelligent Tool Holder Design: Effective Management of Tool Wear Through Real-Time Monitoring During Machining Processes 智能刀架设计:通过加工过程中的实时监控,有效管理刀具磨损
Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00043
Y. Cheng, Yen-Ting Chiu
In the field of mechanical machining, measuring cutting force has become increasingly important. As the tool wears during the machining process, it can cause damage and require timely replacement. However, excessive and frequent tool changes can prolong overall processing time and lead to cost wastage. Moreover, if the timing of tool replacement is too late, it may also affect the quality of machining and reduce cost-effectiveness. Currently, most mechanical machining factories still rely on experienced engineers to judge whether the tool needs to be replaced by observing and listening to the machining process. This not only requires a lot of manpower and time costs but can also result in misjudgments. To address the problem of the inability to measure data in real-time during the machining process, this paper proposes a smart tool holder design that installs a sensing system inside the tool holder. The system uses a three-axis accelerometer to measure and analyze data. Additionally, the design uses a wireless power transmission system to provide power to the entire system and wirelessly transmit data to the host for signal processing and analysis. By displaying data through a window interface, the system can achieve real-time monitoring and is expected to have advantages such as fault diagnosis, improved accuracy, and reduced human costs.
在机械加工领域,切削力的测量变得越来越重要。由于刀具在加工过程中磨损,会造成损坏,需要及时更换。然而,过度和频繁的刀具更换会延长整体加工时间并导致成本浪费。而且,如果更换刀具的时机过晚,还可能影响加工质量,降低成本效益。目前,大多数机械加工工厂仍然依靠经验丰富的工程师通过观察和倾听加工过程来判断刀具是否需要更换。这不仅需要大量的人力和时间成本,而且还可能导致误判。针对加工过程中无法实时测量数据的问题,提出了一种智能刀柄设计,在刀柄内安装传感系统。该系统使用三轴加速度计来测量和分析数据。此外,本设计采用无线电力传输系统为整个系统提供电力,并将数据无线传输到主机进行信号处理和分析。系统通过窗口界面显示数据,实现实时监控,具有故障诊断、提高准确率、降低人力成本等优点。
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引用次数: 0
Microgrid Using Intelligent Controlled DSTATCOM for Power Quality Enhancement 利用智能控制DSTATCOM提高微电网电能质量
Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00031
K. Tan, Meng-Yang Li, Chih-Chan Hu
A droop controlled microgrid with distribution static compensator (DSTATCOM) is developed to improve the power quality in this study. Due to the reactive power/voltage QV droop characteristic and the existence of the unbalanced, linear inductive and nonlinear loads, the power quality problems, including the voltage drop, unbalanced currents, lagging power factor (PF) and current harmonics, are very serious in the islanded microgrid. Moreover, owing to the instantaneous power following into or out of the DC-link capacitor of the DSTATCOM under load variation, the performance of the DSTATCOM for power quality improvement is seriously degenerated. Hence, to effectively improve the power quality of the droop controlled microgrid and the transient response of the DC-link voltage of the DSTATCOM under load variation, an online trained polynomial petri fuzzy neural network (PPFNN) controller is firstly proposed as the DC-link voltage controller to supersede the conventional proportional-integral (PI) controller in the DSTATCOM. The network structure and the online learning strategy of the proposed PPFNN are detailedly derived. Finally, the effectiveness of the DSTATCOM using the proposed PPFNN controller to improve the unbalanced currents, the total harmonic distortion (THD) reduction of the current and to compensate the reactive power for the voltage support and PF correction in the droop controlled microgrid is certified.
为了改善微电网的电能质量,本文设计了一种带分布式静态补偿器的下垂控制微电网。由于无功功率/电压QV下垂的特性以及不平衡负载、线性电感负载和非线性负载的存在,孤岛微电网的电压降、不平衡电流、滞后功率因数和电流谐波等电能质量问题十分严重。此外,由于DSTATCOM的直流电容在负载变化下的瞬时输入或输出功率,使DSTATCOM改善电能质量的性能严重退化。因此,为了有效改善下垂控制微电网的电能质量和DSTATCOM直流电压在负荷变化下的瞬态响应,首先提出了一种在线训练多项式petri模糊神经网络(PPFNN)控制器作为DSTATCOM直流电压控制器,以取代DSTATCOM中传统的比例积分(PI)控制器。详细推导了所提出的PPFNN的网络结构和在线学习策略。最后,验证了采用PPFNN控制器的DSTATCOM在改善不平衡电流、降低电流总谐波失真(THD)以及补偿电压支撑和PF校正的无功功率方面的有效性。
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引用次数: 0
An ultra-compact and broadband high extinction ratio polarization splitting directional coupler using nanohole-based metamaterial waveguides 一种基于纳米孔的超材料波导的超紧凑宽带高消光比偏振分裂定向耦合器
Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00069
Yufei Chen, Shengbao Wu, Jinbiao Xiao
On-chip polarization beam splitters (PBSs) are necessary elements in the polarization diversity circuits and coherent optical communication systems to manage the polarization of silicon nanophotonic devices. However, achieving the low insertion loss (IL), compact footprint, broad bandwidth, and high extinction ratio (ER) of PBS at the same time remains challenging. Here we propose and experimentally demonstrate a compact and high-ER PBS with a directional coupler (DC) consisting of two metamaterial waveguides, which constructs the asymmetry of the DC-based PBS in a new way. For TM polarization, the proposed PBS performs as a DC, while for TE polarization, the device acts as two isolated waveguides since one of the metamaterial waveguides establishes a large bandgap of TE polarization. In simulation, an ultra-compact coupling region of $1.3 times 6 mu mathbf{m}^{2}$ is achieved and the proposed PBS has an ER >20 dB and IL <0.5 dB in the wavelength range of 1500 - 1590 nm, which exceeds the entire C-band. The ER values at the central wavelength of 1550 nm are 48 dB and 36.6 dB for TE and TM modes, respectively. The experimental results illustrate that the fabricated PBS has excellent performance of ER >15 dB and IL <1.2 dB within a wide bandwidth of 90 nm.
片上偏振分束器是偏振分集电路和相干光通信系统中管理硅纳米光子器件偏振的必要元件。然而,同时实现PBS的低插入损耗(IL)、紧凑的占地面积、宽带宽和高消光比(ER)仍然是一个挑战。本文提出并实验证明了一种紧凑的高er定向耦合器(DC),该定向耦合器由两个超材料波导组成,以一种新的方式构建了基于DC的非对称PBS。对于TM极化,所提出的PBS作为直流波导,而对于TE极化,该器件作为两个隔离波导,因为其中一个超材料波导建立了较大的TE极化带隙。仿真结果表明,在90 nm的带宽范围内,该滤波器的ER >20 dB, IL < 15 dB, IL <1.2 dB,实现了1.3 × 6 mu mathbf{m}^{2}$的超紧凑耦合区域。
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引用次数: 0
Occluded and Deformed Jersey Numbers Recognition by Hourglass Networks with Deformable Convolutional Networks 基于可变形卷积网络的沙漏网络识别遮挡和变形球衣号码
Pub Date : 2023-06-01 DOI: 10.1109/IS3C57901.2023.00023
Shang-Xian Lin, Yueh-Shen Tu, Jenhui Chen
We address the problem of basketball jersey number recognition, where the jersey numbers may be partially occluded, deformed, or bent. These challenges make it difficult to accurately recognize the jersey numbers, especially in real-world scenarios with varying player postures, angles, lighting conditions, jersey colors, and patterns. In this paper, we propose a novel method for basketball jersey number recognition, name deformable hourglass network (DHN), by integrating deformable convolutional network v3 (DCNv3) into the hourglass architecture, which is inspired by the convolutional character networks (CharNet) model. We also provide a new dataset, which contains various occluded jersey numbers in real basketball contest scenarios. We show that the DHN can achieve better recognition accuracy and robustness of the deformed basketball jersey number in challenging real-world scenarios.
我们解决了篮球球衣号码识别的问题,其中球衣号码可能被部分遮挡,变形或弯曲。这些挑战使得准确识别球衣号码变得困难,特别是在现实世界中,球员的姿势、角度、光照条件、球衣颜色和图案都在变化。本文受卷积字符网络(CharNet)模型的启发,将可变形卷积网络v3 (DCNv3)集成到沙漏结构中,提出了一种新的篮球球衣号码识别方法——名称可变形沙漏网络(DHN)。我们还提供了一个新的数据集,其中包含真实篮球比赛场景中各种遮挡的球衣号码。研究表明,在具有挑战性的现实场景中,DHN可以获得更好的变形篮球球衣号码识别精度和鲁棒性。
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引用次数: 0
期刊
2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)
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