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2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)最新文献

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Boosting black-box targeted transferability from feature statistic perspective 从特征统计角度提高黑盒目标可移植性
Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135228
Anqi Zhao
Adversarial examples are images that can be easily misclassified by deep learning models when small, imperceptible changes are added to them. They pose a security concern for the use of DNNs in practical applications because of their transferability. One mainstream method for black-box targeted attacks is feature space attacks. They mainly focus on iterative attacks and have generally attempted to modify the intermediate feature of source category similar to the feature of target category. In this paper, we explore that certain characteristics of features, such as feature style statistics, might be able to better represent the features themselves, and potentially lead to better transferability compared to simply aligning the source and the target features directly. Based on this, we propose a method which use the relationship between the style statistics of intermediate features and its corresponding category to boost black-box targeted transferability in generative attacks. We demonstrate the effectiveness of this method through experimental results.
对抗性示例是一种图像,当添加微小的、难以察觉的变化时,深度学习模型很容易对其进行错误分类。由于深度神经网络的可转移性,它们对在实际应用中使用深度神经网络构成了安全问题。针对黑盒攻击的一种主流方法是特征空间攻击。它们主要关注迭代攻击,一般试图修改源类别的中间特征,类似于目标类别的特征。在本文中,我们探讨了特征的某些特征,如特征样式统计,可能能够更好地表示特征本身,并且与直接对齐源特征和目标特征相比,可能会带来更好的可转移性。在此基础上,提出了一种利用中间特征的风格统计量与其对应类别之间的关系来提高生成攻击中黑盒目标可转移性的方法。通过实验结果验证了该方法的有效性。
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引用次数: 0
Parallel hypernym relation extraction based on partition index dividing 基于分区索引划分的并列词关系提取
Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135486
Juxin Yin, Lei Pan
Aiming at the shortcoming of existing pattern methods in handling massive data, a parallel hypernym relation extraction method on Spark is proposed. To improve the extraction accuracy, Combined with Spark's RDD programming model, an improved credibility algorithm(ppmit) is designed to identify the inverse hypernym relation; to address the data skew problem when calculating the credibility value of the hypernym relation, a data partitioning strategy - PID(Partition Index Dividing) algorithm is proposed to calculate the partition balance, add partition index to the overflow data, redivide the data, and ensure the partition data balance, thereby reducing the calculation time. Experiments conducted on the Chinese Wikipedia dataset show that the proposed method can guarantee the extraction accuracy and effectively improve the operational efficiency of the pattern extraction method.
针对现有模式方法在处理海量数据时存在的不足,提出了一种基于Spark的并行超词关系提取方法。为了提高提取精度,结合Spark的RDD编程模型,设计了一种改进的可信度算法(ppmit)来识别倒接词关系;为了解决计算上词关系可信度值时的数据倾斜问题,提出了一种数据分区策略——PID(Partition Index divide)算法,计算分区平衡,对溢出数据添加分区索引,重新划分数据,保证分区数据平衡,从而减少了计算时间。在中文维基百科数据集上进行的实验表明,该方法能够保证模式提取的准确性,有效提高模式提取方法的运行效率。
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引用次数: 0
Design And Implementation Of Domestic High Reliability Measurement And Control Computer System 国产高可靠性测控计算机系统的设计与实现
Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135310
Jian Xiao, Junwei Wan, Hongyan Chen, Hongwei Qi, Zhifang Yao, Li Zhang
At present, the number of users and data capacity of space TT&C missions are increasing, which puts forward higher requirements for the reliability of computer systems and autonomous and controllable security. Aiming at the information processing application and command management needs of space missions under the new situation, the architecture design of aerospace measurement and control computer system with domestic hardware and independent controllable basic software as the core is proposed. It solves the problems of dual-route customized transmission, dual-network multicast sharding coverage of the same channel, secure sharing of real-time files, accurate synchronization of homologous multiple signals in the high-stream video lossless compression display control system under IP network, and multi-source signal fusion, etc. The design and integrated implementation of this computer system plays a major role in the field of manned spaceflight measurement and control, satellite launch technology for high real-time, high reliability, high scalability and high security of the central business system.
当前,航天测控任务的用户数量和数据容量不断增加,对计算机系统的可靠性和自主可控安全性提出了更高的要求。针对新形势下航天任务的信息处理应用和指挥管理需求,提出了以国产硬件和自主可控基础软件为核心的航天测控计算机系统体系结构设计。解决了双路定制传输、同信道双网组播分片覆盖、实时文件的安全共享、IP网络下高流视频无损压缩显示控制系统中同源多个信号的精确同步、多源信号融合等问题。本计算机系统的设计与集成实现是在载人航天测控、卫星发射技术等领域发挥重要作用的高实时性、高可靠性、高扩展性和高安全性的中央业务系统。
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引用次数: 0
Research on Control Technology of Mine High Energy density permanent magnet Direct Drive Integrated Machine based on fuzzy PID 基于模糊PID的矿用高能量密度永磁直驱一体机控制技术研究
Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135343
Sen Wang, Nan Chen, Yunpeng Deng, Daili Liang, Yanhui Xiao, Wenshuo Wang, W. Yu, Lei Wang, Yuqin Zhu, Li Zhang, Hao Liu, Zhanyang Yu, Jianmin Du
In order to improve the mining high energy density of permanent magnet direct drive all-in-one control performance and anti-interference ability, for the traditional PID control performance efficiency is not high, and the working environment changes, through the traditional PID control and fuzzy PID control control performance, puts forward a smart control method based on fuzzy PID control. The simulation model of the fuzzy PID controller is constructed and the simulation experiment is conducted. The simulation results show that the fuzzy PID controller, compared with the traditional PID controller, has stronger reliability.
为了提高矿井高能量密度永磁直驱一体化控制性能和抗干扰能力,针对传统PID控制性能效率不高,且工作环境变化大的问题,通过对传统PID控制和模糊PID控制控制性能的比较,提出了一种基于模糊PID控制的智能控制方法。建立了模糊PID控制器的仿真模型,并进行了仿真实验。仿真结果表明,与传统PID控制器相比,模糊PID控制器具有更强的可靠性。
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引用次数: 0
Transmission Line Fault Diagnosis Based on Machine Learning 基于机器学习的输电线路故障诊断
Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135452
Fuqing Hao, Xiaoting Yang, Guoqiang Wang, Yeji Feng
In this paper, a faulted phase selection scheme for extracting MPE values of fault transient voltage signals and combining them with CS-SVM for high-voltage transmission lines is proposed. The results show that using MPE to quantify the transient voltage signal in high-voltage transmission lines can fully reflect the fault transient signal characteristics, can be accurately judged within a small time window, identifies faults with high accuracy, is not affected by the fault occurrence location, transition resistance size, and the initial angle state of fault occurrence, and can overcome the defect that the voltage signal has weak sensitivity at the strong power side of the system.
本文提出了一种高压输电线路故障暂态电压信号MPE值提取与CS-SVM相结合的故障选相方案。结果表明,利用MPE对高压输电线路暂态电压信号进行量化,能充分反映故障暂态信号特征,能在小时间窗内进行准确判断,故障识别精度高,不受故障发生位置、过渡电阻大小、故障发生初始角度状态的影响,能克服电压信号在系统强电侧灵敏度较弱的缺陷。
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引用次数: 1
Grouping Beamlet Transform for Surface Crack Detection 基于分组波束变换的表面裂纹检测
Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135447
Tian Cai, Weiwei Zhao, Zhe Lin, Pengfei Guo
Beamlet transform is an excellent multiscale geometric analysis method. It has a great capacity of extracting line features from images under noise. However, it is too slow since a mass of redundant beamlets waste much time. In fact, only several of them are helpful in many applications. In this paper, grouping beamlet transform is presented to fasten line feature detection for surface crack detection. Geometric flows used in grouplet transform are introduced to determine geometric structures of an image. In each recursively partitioned box, only the beamlets along with major direction are generated. So that lots of useless beamlets for the image can be excluded from the following integral computation. Experiments on various optical images show that grouping beamlet transform is able to detect line features in an image the same as classic beamlet transform, however, the former runs much faster than the latter on any of the tested images. In some cases, only about 60% of consuming time in classic beamlet transform may be needed in grouping beamlet transform. As an improvement of beamlet transform, grouping beamlet transform will be more applicable in the field of surface crack detection.
束波变换是一种优秀的多尺度几何分析方法。该算法具有较强的噪声条件下的图像线特征提取能力。然而,由于大量的冗余光束浪费了大量的时间,它的速度太慢了。事实上,在许多应用程序中,只有其中几个是有用的。提出了一种基于分组小波变换的表面裂纹线特征检测方法。介绍了利用群态变换中的几何流来确定图像的几何结构。在每个递归分区的盒子中,只生成主方向的光束。这样就可以在接下来的积分计算中排除大量对图像无用的光束。在各种光学图像上的实验表明,分组波束变换与经典波束变换一样能够检测图像中的线特征,但前者在任何被测试图像上的运行速度都比后者快得多。在某些情况下,分组波束变换只需要传统波束变换60%左右的时间。分组波束变换是对波束变换的一种改进,将更适用于表面裂纹检测领域。
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引用次数: 0
Classification of Alzheimer's Disease Based on Multi-view Lightweight Neural Network 基于多视图轻量级神经网络的阿尔茨海默病分类
Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135296
Qiongmin Zhang, Ying Long, Hongshun Cai
As a degenerative neurodegenerative disease, early detection and intervention are still the key to prevent the aggravation of Alzheimer's disease (AD). Computer aided diagnosis based on Magnetic Resonance Imaging (MRI) can provide assistance for early detection of AD. In the application of limited MRI data, a multi-view lightweight neural network is proposed to effectively identify AD by reducing the amount of model computation and parameters and making full use of the image information. In the proposed method, we design an optimized lightweight neural network for feature extraction on limited MRI data. Attention mechanism is adopted to fuse multi-slice features and ensure the consistency of results. For full use of MRI data, personalized weights are learned and applied to fuse the multi-view features of transverse plane, sagittal plane and coronal plane. The experimental results indicate that compare with state-of-the-art lightweight methods, the proposed multi-view method achieves good balance on parameters (3.75M) and FLOPs (4.45G). Meanwhile, the classification performances of the proposed multi-view method are better in the three AD classification tasks. Through the construction of the model, it is expected to provide a feasible reference lightweight network for further AD detection.
阿尔茨海默病(Alzheimer's disease, AD)作为一种退行性神经退行性疾病,早期发现和干预仍是防止病情加重的关键。基于磁共振成像(MRI)的计算机辅助诊断可以为早期发现AD提供帮助。在有限的MRI数据应用中,提出了一种多视图轻量级神经网络,通过减少模型计算量和参数,充分利用图像信息,有效识别AD。在提出的方法中,我们设计了一个优化的轻量级神经网络,用于在有限的MRI数据上进行特征提取。采用注意机制融合多切片特征,保证结果的一致性。为了充分利用MRI数据,学习并应用个性化权值,融合横切面、矢状面、冠状面的多视图特征。实验结果表明,与现有的轻量化方法相比,该方法在参数(3.75M)和FLOPs (4.45G)上达到了较好的平衡。同时,在三种AD分类任务中,所提出的多视图方法具有更好的分类性能。通过模型的构建,有望为进一步的AD检测提供可行的参考轻量级网络。
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引用次数: 0
Design And Implementation of Web Crawler Based on 'Internet +'Data Automatic Extraction 基于“互联网+”数据自动提取的网络爬虫的设计与实现
Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135210
Lulu Zhang, Junru Li, Dacheng Feng, Junjie Sun
The rise of the strategy of “Internet +” breaks the barriers of data and information. Web crawler is widely used in data acquisition and data analysis in the massive Internet plus information. Taking “IMDB top250 movies” as the goal, using the crawler technology based on Python language, this paper explains the four steps of web crawler in detail, compares the differences of three web page parsing methods: BeautifulSoup, Regular Expression(Re) and XPath, and completes the crawling of target data. The experimental results show that Re is the best in data analysis speed; In terms of web page parsing logic, beautiful soup is the best; From the perspective of comprehensive use, XPath is more suitable.
“互联网+”战略的兴起,打破了数据和信息的壁垒。在海量的互联网+信息中,网络爬虫被广泛应用于数据采集和数据分析。本文以“IMDB top250电影”为目标,利用基于Python语言的爬虫技术,详细阐述了网络爬虫的四个步骤,比较了BeautifulSoup、正则表达式(Re)和XPath三种网页解析方法的差异,完成了目标数据的爬虫。实验结果表明,Re在数据分析速度上是最好的;在网页解析逻辑方面,美汤是最好的;从综合使用的角度来看,XPath更合适。
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引用次数: 0
Active Privacy-Preserving Contact Tracing Scheme for Infectious Diseases in Cloud Environment 云环境下传染病接触者主动保护隐私追踪方案
Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135226
Dixing Zhou, Jing Zhou, Ou Ruan
To overcome the issues such as privacy leakage and Health Authorities passive tracking in the current contact tracing scheme, this paper proposes an active privacy-preserving contact tracing scheme for infectious diseases in cloud environments. In this scheme, Telecom Center timely collects participants' information, so that Health Authorities can proactively track the contacts of infectious diseases when needed, and participants needn't to install any additional Apps; Pseudorandom number generator is used to blind the participants' location information to protect their privacy; ElGamal encryption algorithm and its variants are introduced to encrypt the participants' identities, so that the Health Authorities can correctly obtain the information of contacts without revealing anything of other participants. Theoretical analysis and experimental simulation show that the scheme is secure and effective, and it also has good computation performance in large-scale data scenarios.
针对目前接触者追踪方案中存在的隐私泄露和卫生部门被动追踪等问题,本文提出了一种云环境下传染病主动隐私保护接触者追踪方案。在此方案中,电信中心及时收集参与者的信息,以便卫生部门在需要时主动跟踪传染病接触者,参与者无需额外安装任何应用程序;采用伪随机数生成器对参与者的位置信息进行盲化,保护参与者的隐私;引入ElGamal加密算法及其变体,对参与者的身份进行加密,使卫生当局能够在不泄露其他参与者的任何信息的情况下正确获取联系人信息。理论分析和实验仿真表明,该方案安全有效,在大规模数据场景下也具有良好的计算性能。
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引用次数: 0
A Light Source Layout Scheme for Indoor VLC System Application Using Genetic Algorithm 基于遗传算法的室内VLC系统光源布局方案
Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135339
Renjie Zuo, An-rong Wang, Yufeng Shao, Chong Li, Peng-Ying Chen, Yanlin Li, Shuanfan Liu, J. Yuan
In the Visible Light Communication (VLC) system, the light emitting diode (LED) has a double function of illumination and communication. Aiming at the different distributions of luminous power and information access, a light source layout based on genetic algorithm is proposed. A $5mathrm{m}times 5mathrm{m}times 3mathrm{m}$ indoor VLC system model is established, and four LEDs are used as light sources to analyze the relationship between different light source layouts and the received light power distribution. Genetic algorithm is used to optimize the distance between LED light sources in a square room to seek the best light source layout scheme. The results show that the value of peak power deviation (PDP) is 1.34 compared with the traditional layout scheme, which can minimize the variation of light power on the receiving plane and improve signal transmission performance if this system is also used to achieved broad information access.
在可见光通信(VLC)系统中,发光二极管(LED)具有照明和通信双重功能。针对不同的光功率分布和信息访问情况,提出了一种基于遗传算法的光源布局方法。建立了$5 mathm {m}乘以5 mathm {m}乘以3 mathm {m}$室内VLC系统模型,以4个led作为光源,分析了不同光源布局与接收光功率分布之间的关系。采用遗传算法对方形房间内LED光源之间的距离进行优化,寻求最佳光源布局方案。结果表明,与传统布局方案相比,该方案的峰值功率偏差(PDP)值为1.34,在实现广泛信息接入的同时,能最大限度地减少接收平面光功率的变化,提高信号传输性能。
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引用次数: 0
期刊
2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)
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