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2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)最新文献

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Additive Model for User Electricity Consumption Behavior Analysis 用户用电行为分析的加性模型
Yuzhou Wu, Hanju Li
User electricity consumption behavior Analysis is helpful for power supply enterprises to provide personalized services for users, and for the effective implementation of peak load staggering scheme in power supply enterprises. In this paper, the additive model is used to decompose the user electricity consumption, extract the characteristics of electricity trend, periodicity and holiday influence, and construct the modulus 1 vector to describe the user electricity consumption behavior. Then, the power consumption behavior of different users can be analyzed by the unit spherical clustering method, which is convenient for power supply enterprises to provide precision service for different user groups with different characteristics.
用户用电行为分析有助于供电企业为用户提供个性化服务,有助于供电企业有效实施高峰负荷交错方案。本文采用加性模型对用户用电量进行分解,提取用电量趋势、周期性、假日影响等特征,构造模数为1的向量来描述用户用电量行为。然后,采用单位球面聚类方法对不同用户的用电行为进行分析,方便供电企业针对不同特征的不同用户群体提供精准服务。
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引用次数: 7
Coding Graphic Groups For Network Security 网络安全编码图形组
Meimei Zhao, Ming Yao, Xiaohui Zhang, Yirong Sun, B. Yao
The overall security is a new topic on network security in Today’s digital business. As known, graphical passwords (GPWs) are applied in the world. Topological graphic passwords (Topsnut-gpws) differ from the existing GPWs, since they can be expressed by popular matrices and can produce graphic groups for encrypting networks. New coding techniques are introduced and new coding graphic groups and matrix groups are constructed in this article. Some new problems are given for investigating deeply graphic groups and matrix groups.
全面安全是当今数字化商业环境下网络安全的新课题。众所周知,图形密码(gpw)在世界范围内得到了广泛应用。拓扑图形密码(Topsnut-gpws)不同于现有的GPWs,因为它们可以用流行的矩阵表示,并且可以生成用于加密网络的图形组。介绍了新的编码技术,构造了新的编码图群和矩阵群。为深入研究图群和矩阵群,提出了一些新的问题。
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引用次数: 2
Rapid Sharing of Multimedia Contents in Android Devices using Multithreaded Execution Model 基于多线程执行模型的Android设备中多媒体内容的快速共享
Laxmisha Rai, Dapeng Chen, Hong Li, Di Fan
Sharing and transmission of multimedia files are increasingly becoming common among mobile and smart phone users. As most of the mobile devices run on Android platform, the new methods for rapid sharing and transmitting is highly essential considering the continuous growth of mobile phone users, as well as the increasing trend in the size of multimedia information shared. In this paper, a mechanism for rapidly transmitting and sharing of multimedia files between different mobile devices using multi-threaded execution mechanism is explored. The main focus is to show the capacities of multi-threading in multimedia file transfer in Android based smart devices while transferring contents such as video, audio, text, and images.
多媒体文件的共享和传输在移动和智能手机用户中越来越普遍。由于大多数移动设备都运行在Android平台上,考虑到手机用户的不断增长,以及多媒体信息共享规模的不断增长趋势,快速共享和传输的新方法是非常必要的。本文探讨了一种利用多线程执行机制在不同移动设备间快速传输和共享多媒体文件的机制。主要是展示基于Android的智能设备在传输视频、音频、文本和图像等内容时,多线程在多媒体文件传输中的能力。
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引用次数: 0
Application Research of In-vehicle SINS/GNSS Integrated Navigation Algorithm 车载SINS/GNSS组合导航算法应用研究
Yang Zhang, Zhongwei Liu, Zhijie Mao, Jifu Wang
This paper mainly studies the application of in-vehicle SINS/GNSS loosely coupled navigation algorithm. The SINS attitude update, velocity update, and position update equations are derived. The research designs SINS/GNSS loosely coupled filter by combining the SINS error model and the Kalman filter model. The vehicle navigation experiment is carried out. The results show that the accuracy of SINS/GNSS loosely coupled integration is significantly better than the pure inertial navigation solution.
本文主要研究了车载SINS/GNSS松耦合导航算法的应用。推导了捷联惯导系统的姿态更新、速度更新和位置更新方程。将捷联惯导系统误差模型与卡尔曼滤波模型相结合,设计捷联惯导系统/GNSS松耦合滤波器。进行了车辆导航实验。结果表明,SINS/GNSS松耦合集成方案的精度明显优于纯惯性导航方案。
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引用次数: 0
Building Tag Systems Based on Advanced Semantic Hierarchical Clustering 基于高级语义层次聚类的构建标签系统
Wenxin Yang, Zhiming Zhang, G. Huang
An improved method based on semantic analysis and clustering algorithm for building tag systems was proposed. First, Hive is employed to process data. Then, Advanced Semantic Hierarchical Clustering (ASHC), which is an adaptation of Semantic Hierarchical Clustering (SHC), is used to build synonym relationship and hypernym-hyponym relationship of the tag trees and enhance the precision and efficiency of tag systems. In the end, removing some obviously incorrect paths and isolated nodes. For evaluating the performance of the method, the tag coincidence rate, the hypernym-hyponym coincidence rate and the accuracy are used to assess the precision of merging and constructing tag systems. The results show that compared with SHC, the accuracy of ASHC increases 2.7% averagely, and after adjusting tags, these metrics are improved more than 3.9%. Based on this, tag systems with higher precision and applicability can be built.
提出了一种基于语义分析和聚类算法的构建标签系统的改进方法。首先,使用Hive对数据进行处理。在此基础上,采用基于语义层次聚类的高级语义层次聚类(ASHC)技术构建标签树的同义词关系和上下义关系,提高标签系统的精度和效率。最后,删除了一些明显错误的路径和孤立的节点。为了评价该方法的性能,用标签符合率、上下词符合率和准确率来评价合并和构建标签系统的精度。结果表明,与SHC相比,ASHC的准确率平均提高了2.7%,调整标签后,这些指标的准确率提高了3.9%以上。在此基础上,可以构建精度和适用性更高的标签系统。
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引用次数: 0
Design of PLC-based 3D Carving Controller 基于plc的三维雕刻控制器设计
Z. Zou, Bing Zou, Bingzong Xu, Li Wang, Xiangtan Wei, Bing-Ren Chen, Man Zhou
With the advancement at industrial automation, the triaxial linked system has been widely applied at various industrial fields. The paper introduces a kind of carving system which is based on three-phase asynchronous motor and servomotor. PLC could make a general treatment to the signal from the internal timers for each shaft, the ON/OFF signal and the input signal of the sensors. The program in the PLC may generate certain time series to drive the system at regular operation and that each part works at the set logic sequence for the final goal to make the system function accurate carving. Meanwhile, the system could be immune to the unexpected interference, including that from the dust, and then operate at a stable and safe way.
随着工业自动化水平的提高,三轴联动系统在各个工业领域得到了广泛的应用。本文介绍了一种基于三相异步电动机和伺服电动机的雕刻系统。PLC可以对各轴内部定时器的信号、开/关信号和传感器的输入信号进行综合处理。PLC中的程序可以产生一定的时间序列来驱动系统正常运行,并使各部分按照设定的逻辑顺序工作,以达到最终目标,使系统的功能精确雕刻。同时,系统可以不受包括粉尘在内的意外干扰,从而稳定、安全地运行。
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引用次数: 0
Research on News Value Feature Item Based on User Attention 基于用户关注的新闻价值特征项研究
Yao Fu, Chi Zhang
With the update of network technologies and the large increase in the number of news releases, it is more important to choose news topics that are more in line with the audience entry point and higher news value. Based on the random forest algorithm, this experiment utlizes the news value knowledge system to construct the news value feature items, and formulates the algorithm to quantitatively calculate the feature importance of the new value feature items to provide a more accurate and usable method for the research of news value prediction, which can help journalism works better and more effectively.
随着网络技术的更新和新闻发布量的大量增加,选择更符合受众切入点、新闻价值更高的新闻选题显得尤为重要。本实验在随机森林算法的基础上,利用新闻价值知识体系构建新闻价值特征项,并制定定量计算新价值特征项特征重要性的算法,为新闻价值预测的研究提供更准确、可用的方法,帮助新闻业更好、更有效地开展工作。
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引用次数: 0
Matrices From Topological Graphic Coding of Network Security 网络安全拓扑图编码中的矩阵
B. Yao, Meimei Zhao, Yarong Mu, Yirong Sun, Xiaohui Zhang, Mingjun Zhang, Sihua Yang
Matrices as mathematical models have been used in each branch of scientific fields for hundred years. We propose a new type of matrices, called topological coding matrices (Topcode-matrices). Topcode-matrices show us the following advantages: Topcode-matrices can be saved in computer easily and run quickly in computation; since a Topcode-matrix corresponds two or more Topsnut-gpws, so Topcode-matrices can be used to encrypt networks such that the encrypted networks have higher security; Topcode-matrices can be investigated and applied by people worked in more domains; Topcode-matrices can help us to form new operations, new parameters and new topics of graph theory, such as vertex/edge splitting operations and connectivities of graphs. Several properties and applications on Topcode-matrices, and particular Topcode-matrices, as well as unknown problems are introduced.
矩阵作为数学模型已经在科学领域的各个分支中使用了数百年。我们提出了一种新的矩阵,称为拓扑编码矩阵(Topcode-matrices)。顶码矩阵具有以下优点:顶码矩阵易于保存在计算机中,计算速度快;由于一个Topcode-matrix对应两个或多个Topsnut-gpws,所以Topcode-matrix可以用来加密网络,使加密后的网络具有更高的安全性;顶码矩阵可以被更多领域的人们研究和应用;顶码矩阵可以帮助我们形成图论的新操作、新参数和新课题,如顶点/边分割操作和图的连通性。介绍了顶码矩阵、特殊顶码矩阵的一些性质和应用,以及一些未知问题。
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引用次数: 4
Invisible-Guardian: Using Ensemble Learning to Classify Sound Events in Healthcare Scenes 隐形监护人:使用集成学习对医疗场景中的声音事件进行分类
Jiawei Li, Xiaoling Li, Bin Liu, Yang Liu, Weiwei Jia, Jiarui Lai
The dramatic increase of senior population worldwide is challenging the existing healthcare and support systems. Whereas traditional home health monitoring systems (like video-based method) often cause users’ discomfort with severe feeling of privacy intrusion, which impedes the popularity of home health monitoring systems. Then Invisible-Guardian is proposed, an ensemble learning (EL)-based high-efficiency auditory information centered healthcare system for the elderly at home. The system collects everyday sound, like door open and close through a sound sensor array arranged indoors. Information such as the current event type is obtained after preprocessing, extracting features, classifying with the EL and supplemented by the inertial sensing units. If an emergencies event occurs, such as fall, the information will be sent to the doctor and relatives immediately, which greatly protect the daily life safety of the elderly living alone. The feasibility of the system is verified by human activity recognition experiments, and the recognition accuracy reaches 94.17%. Compared with the traditional home health monitoring method, it not only reduces the cost burden of hardware equipment, but also monitoring elders’ daily life with less feeling of privacy intrusion. what’s more, it minimizes the amount of data and ease of calculation, which improves the efficiency of home health monitoring for the elders and more favorable to the safety of the elderly living alone.
全球老年人口的急剧增加对现有的医疗保健和支持系统构成了挑战。而传统的家庭健康监控系统(如视频监控)往往会给用户带来严重的隐私侵犯感,从而阻碍了家庭健康监控系统的普及。在此基础上,提出了一种基于集成学习(EL)的以听觉信息为中心的高效居家老年人医疗保健系统——Invisible-Guardian。该系统通过设置在室内的声音传感器阵列收集日常声音,比如门的打开和关闭。当前事件类型等信息是经过预处理、特征提取、EL分类、惯性传感单元补充后得到的。如果发生突发事件,如跌倒,将信息第一时间发送给医生和亲属,极大地保障了独居老人的日常生活安全。通过人体活动识别实验验证了该系统的可行性,识别准确率达到94.17%。与传统的家庭健康监控方式相比,它不仅减轻了硬件设备的成本负担,而且还可以监控老年人的日常生活,减少隐私被侵犯的感觉。更重要的是,它最大限度地减少了数据量和易计算性,提高了老年人家庭健康监测的效率,更有利于独居老年人的安全。
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引用次数: 0
An Improved Force-directed Algorithm Based on PageRank 一种改进的基于PageRank的力定向算法
Zhiang Xu, Pengzhou Zhang
Character relationship visualization is a very important research content in public opinion analysis. It makes full use of human visual perception ability and transmits a large amount of information in a limited space. The force-directed algorithm is the most classic layout algorithm for displaying character relationships. This paper proposes an improved force-directed algorithm based on PageRank to solve the problem that traditional force-directed algorithm can’t show the importance of nodes. First, PageRank is used to compute the importance of the nodes. Then, the FR algorithm is used to map the nodes and relationships. Finally, drawing the chart based on visual factors. Experiments show that the algorithm is superior to the traditional force-directed algorithm in demonstrating the importance of characters.
人物关系可视化是民意分析中一个非常重要的研究内容。它充分利用人的视觉感知能力,在有限的空间内传递大量的信息。强制导向算法是显示字符关系的最经典的布局算法。针对传统强制定向算法无法显示节点重要性的问题,提出了一种基于PageRank的改进强制定向算法。首先,PageRank用于计算节点的重要性。然后,使用FR算法映射节点和关系。最后,根据视觉因素绘制图表。实验表明,该算法在显示字符重要性方面优于传统的力导向算法。
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引用次数: 0
期刊
2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
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