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2019 6th International Conference on Dependable Systems and Their Applications (DSA)最新文献

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Research on Railway Intelligent Operation and Maintenance and Its System Architecture 铁路智能运维及其系统体系结构研究
Mengqi He, Honghui Li, Yuhang Duan
With the continuous development of railway informatization, railway operation and maintenance system also needs to be more intelligent. Starting from the basic concepts of operation and maintenance, intelligent operation and maintenance and railway intelligent operation and maintenance, according to the current operation and maintenance situation of some systems in the railway industry, this paper studies the overall architecture and workflow of the railway intelligent operation and maintenance system. Intelligent operation and maintenance technology can provide technical means for ensuring railway transportation safety, improving maintenance efficiency and reducing operation and maintenance cost. The implementation of railway intelligent operation and maintenance system will make railway operation and maintenance move forward from traditional decentralized mode to centralized and unified mode, so as to make railway operation and maintenance work more scientific and efficient and improve the overall operation and maintenance level of railway.
随着铁路信息化的不断发展,铁路运维系统也需要更加智能化。本文从运维、智能运维、铁路智能运维的基本概念出发,根据目前铁路行业部分系统的运维现状,研究了铁路智能运维系统的总体架构和工作流程。智能运维技术可以为保障铁路运输安全、提高运维效率、降低运维成本提供技术手段。铁路智能运维系统的实施,将使铁路运维从传统的分散模式向集中统一模式迈进,从而使铁路运维工作更加科学高效,提高铁路整体运维水平。
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引用次数: 5
[DSA 2019 Keynote Speech I - III - 3 abstracts] [DSA 2019主题演讲I - III - 3摘要]
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引用次数: 0
OpenMV Based Cradle Head Mount Tracking System 基于OpenMV的云台座跟踪系统
Shiwei Zhou, Jiayuan Gong, Haiying Zhou, Zhengze Zhu, Chao He, Kui Zhou
A traditional color recognition sensor cannot track and move at the same time. In order to overcome this problem, OpenMV based cradle head mount tracking system is proposed in this paper. After the camera captures an image, a series of basic digital image processing is performed, which is controlled by two servo motors. The pan-tilt movement causes the cradle head to track the target color and if the pixel value of the target color is within the target threshold range, the recognition is successful and is displayed in a rectangular frame. The system is mounted on the cradle head to optimize the traditional color recognition, which increases the flexibility of recognition by facilitating angular movement. The experimental results prove that the cradle head can accurately and effectively identify and track the target color.
传统的颜色识别传感器不能同时跟踪和移动。为了克服这一问题,本文提出了基于OpenMV的云台座跟踪系统。摄像机捕获图像后,进行一系列基本的数字图像处理,由两个伺服电机控制。平移运动使云台跟踪目标颜色,如果目标颜色的像素值在目标阈值范围内,则识别成功,并在矩形帧中显示。该系统安装在云台上,对传统的颜色识别进行了优化,通过促进角度运动增加了识别的灵活性。实验结果表明,该云台能够准确有效地识别和跟踪目标颜色。
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引用次数: 2
Singing Voice Conversion Based on Non-Parallel Corpus 基于非平行语料库的唱腔转换
Wenyao Deng, Wei Zhao, Lin Qi, Cong Jin
With the continuous development of deep learning, research on the conversion of singing voice has gradually enriched. The study of singing voice conversion comes from voice conversion. The singing voice conversion is to sing the voice of the target singer without changing the sound content of the source singer. In this paper, we use WORLD vocoder and speech signal processing toolkit (SPTK) to extract the acoustic characteristics of songs and use two mirrored generative adversarial Nets complete the conversion of acoustic features. The experiment realizes the singing conversion of non-parallel corpus. Subjective evaluations show that the songs after the conversion have a good performance in the quality and similarity of the songs.
随着深度学习的不断发展,对歌唱声音转换的研究也逐渐丰富起来。歌唱声音转换的研究来源于声音转换。歌唱声音转换是在不改变源歌手声音内容的情况下,演唱目标歌手的声音。本文使用WORLD声码器和语音信号处理工具包(SPTK)提取歌曲的声学特征,并使用两个镜像生成对抗网络完成声学特征的转换。实验实现了非平行语料库的唱腔转换。主观评价表明,转换后的歌曲在音质和相似度上都有较好的表现。
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引用次数: 0
Quantitative Evaluation Model of Network Security Situation Based on D-S Evidence Theory 基于D-S证据理论的网络安全态势定量评价模型
Zhongwei Zhao, Tingting Zhou, Huan Wang
This paper studies a network security situation assessment model based on D-S evidence theory for the problems that the assessment information source is too single and the accuracy deviation is too large in the situation awareness system. First, the model uses PCA to pre-process the alarm data to shorten the alarm processing time; secondly, it uses the improved DS evidence theory to combine the credibility of multi-source attack data and improve the alarm recognition rate; thirdly, by constructing three kinds of situation assessment indicators of vulnerability, threat and assets, it quantifies the situation component and improves the accuracy of the perception; fourthly, it also uses the weighted average method to synthesize the situation component; finally, the model and algorithm are verified by using network instance data and the results show the correctness of the method.
针对态势感知系统中评估信息源过于单一、准确性偏差过大的问题,研究了一种基于D-S证据理论的网络安全态势评估模型。首先,该模型采用PCA对报警数据进行预处理,缩短了报警处理时间;其次,利用改进的DS证据理论,将多源攻击数据的可信度结合起来,提高了报警识别率;第三,通过构建脆弱性、威胁和资产三种态势评估指标,量化态势成分,提高感知的准确性;第四,采用加权平均法综合态势分量;最后,利用网络实例数据对模型和算法进行了验证,结果表明了该方法的正确性。
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引用次数: 3
Research on the Stability of Two Special Networks 两种特殊网络的稳定性研究
Jianxiang Cao, Wenqian Shang, Weiguo Lin
It is known that the topological structure of an interconnection network can be modelled by a connected graph whose vertices represent sites of the network and whose edges represent the communication links. So many problems about networks can be converted to the study of graphs. The domination number of graphs is an important parameter and it has been used to measure the robustness of an interconnection network. But it has been proved that calculating the domination number of graph is a NP-complete problem, and it is also difficult to give the better boundary domination number of the graph, we only can calculate some special graphs which have some special structure. In this paper we consider the domination number of two special networks.
众所周知,互连网络的拓扑结构可以用连通图来建模,连通图的顶点表示网络的站点,其边表示通信链路。很多关于网络的问题都可以转化为对图的研究。图的支配数是衡量互连网络鲁棒性的一个重要参数。但是已经证明计算图的边界控制数是一个np完全问题,而且很难给出图的更好的边界控制数,我们只能计算一些具有特殊结构的特殊图。本文考虑了两个特殊网络的控制数。
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引用次数: 0
Research on Interconnection and Mutual Control Technology of Power Transmission and Transformation Equipment Based on Internet of Things 基于物联网的输变电设备互联互控技术研究
Caiyun Di, Mingxing Li, Zhi Zhao
In view of the existing problems in data sharing and equipment universality in the control technology of power transmission and transformation equipment, the interconnection and mutual control technology of power transmission and transformation equipment is studied in combination with the technology of Internet of things. According to the information communication structure of the power transmission and transformation equipment Internet of things, this paper analyzes the interconnection and mutual control technology. Under the structure of single and double star aggregation network, its reliability is calculated to ensure the safety of data resource sharing. Under the topology structure of ring convergence network, the average network delay is calculated to ensure that the equipment can be used in general, thus the overall design scheme of interconnection and mutual control technology is completed. According to the experimental results, the highest control effect of the technology can reach 98%, which provides an effective means for transmission line control in remote areas.
针对输变电设备控制技术在数据共享和设备通用性方面存在的问题,结合物联网技术研究输变电设备互联互控技术。根据输变电设备物联网的信息通信结构,分析了输变电设备物联网互联互控技术。在单星和双星汇聚网络的结构下,对其可靠性进行了计算,以保证数据资源共享的安全性。在环形汇聚网络的拓扑结构下,计算网络平均时延,保证设备的通用性,从而完成互联互控技术的总体设计方案。实验结果表明,该技术最高控制效果可达98%,为偏远地区输电线路控制提供了有效手段。
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引用次数: 0
Research on Man-Machine Conversation System Based on GRU seq2seq Model 基于GRU seq2seq模型的人机对话系统研究
Wei Huang, Xiaoyu Dong, Wenqian Shang, Weiguo Lin
Intelligent robot Q & A is a new focus in the field of natural language understanding and processing. In recent years, with the gradual maturity of deep learning technology, more and more research has begun to model deep neural networks for text semantics. Deep neural networks are computational models abstracted from human brain cognitive processes, closer to humans. In this paper, we use GRU deep neural network to study the generative dialogue, and implement a seq2seq model manmachine conversation system. Experiments show that the confidence of the system can reach the range of human acceptance.
智能机器人问答是自然语言理解与处理领域的一个新热点。近年来,随着深度学习技术的逐渐成熟,越来越多的研究开始对深度神经网络进行文本语义建模。深度神经网络是从人类大脑认知过程中抽象出来的计算模型,更接近人类。本文利用GRU深度神经网络对生成式对话进行研究,实现了一个seq2seq模型的人机对话系统。实验表明,该系统的置信度可以达到人类可接受的范围。
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引用次数: 0
Research on Anti-Noise Performance of New Chaos Criterion 新型混沌判据的抗噪声性能研究
Jinwei Cai, Yilin Ning, Wenshi Li, Linhong Yao
From the perspective of reliability research, the anti-noise performance of chaotic criterion is a kind of difficult problems. We proposed one new metric for chaos detection under noise-dying challenge. To build three dimensional compression entropy variable-space, measuring geometric selfsimilarity without tunable parameters, our new chaos criterion can easily find the periodic windows during chaos equation evolution, and the anti-noise ability keeps strong, since the golden partition rate embedded threshold activation function is applied. Four key chaos equations are as test cases. The results under MATLAB tool show that our new chaos criterion touches the anti-noise ability near 15% additive composition.
从可靠性研究的角度来看,混沌判据的抗噪声性能是一类难点问题。在噪声消亡挑战下,提出了一种新的混沌检测度量。为了构建三维压缩熵变空间,测量无可调参数的几何自相似性,我们的混沌判据可以很容易地找到混沌方程演化过程中的周期窗口,并且由于采用了黄金分割率嵌入阈值激活函数,抗噪能力较强。四个关键的混沌方程作为测试案例。在MATLAB工具下的结果表明,新混沌判据的抗噪声能力接近15%的加性成分。
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引用次数: 0
Cone Detection and Location for Formula Student Driverless Race 面向学生方程式无人驾驶赛车的锥体检测与定位
Leipeng Qie, Jiayuan Gong, Haiying Zhou, Sishan Wang, Shiwei Zhou, Nandan Bangalore Chetan
This paper proposes a cone detection algorithm based on HSV color and the least-squares method. The algorithm first converts the RGB image of the cone into HSV format and then binarizes it. Next, filter the binarized image by methods of floodfill and morphology. The contour of the cone is detected, and then the slope is determined by the least-squares method for the final determination. This article also describes the principle of camera calibration and the perspective transformation method to extract the position of the identified cone. Finally, it is verified by experiments that cone recognition is effective and the location information is highly reliable.
提出了一种基于HSV颜色和最小二乘法的圆锥检测算法。该算法首先将圆锥体的RGB图像转换为HSV格式,然后对其进行二值化。其次,采用泛洪填充和形态学方法对二值化后的图像进行滤波。首先检测锥体的轮廓,然后用最小二乘法确定锥体的斜率,最后确定锥体的斜率。本文还介绍了摄像机标定的原理和利用视角变换方法提取识别锥体的位置。最后,通过实验验证了该方法的有效性和位置信息的高可靠性。
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引用次数: 1
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2019 6th International Conference on Dependable Systems and Their Applications (DSA)
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