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2017 4th International Conference on Systems and Informatics (ICSAI)最新文献

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Square root spherical simplex radial information filter 平方根球面单纯形径向信息滤波器
Pub Date : 2017-11-01 DOI: 10.1109/ICSAI.2017.8248392
Wenyan Guo, Hualei Ling
In order to further increase the precision of information filter, square root spherical simplex radial information filter (SRSSRIF) is put forward in the article. SRSSRIF is combined with square root filter and fused the spherical simplex radial rule (SSRR) into information filter. We utilize the rule of spherical simplex radial to choose the integral points and the computation of the corresponding weights. The efficiency of the new algorithm is demonstrated with a 3D Lorenz system and a two permanent magnet synchronous motor. Simulation results indicated that SRSSRIF can gain preferable precision compared with extended information filter (EIF) and square root unscented information filter (SRUIF) for single or multi-sensors system.
为了进一步提高信息滤波的精度,本文提出了平方根球面单纯形径向信息滤波器(SRSSRIF)。将SRSSRIF与平方根滤波相结合,将球面单纯形径向规则(SSRR)融合为信息滤波。利用球面径向单纯形规则选择积分点并计算相应的权值。以三维洛伦兹系统和双永磁同步电机为例,验证了该算法的有效性。仿真结果表明,在单传感器和多传感器系统中,与扩展信息滤波器(EIF)和平方根无气味信息滤波器(SRUIF)相比,SRSSRIF具有更好的精度。
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引用次数: 0
Micro-blog hot topic discovery based on string frequency 基于串频的微博热点话题发现
Pub Date : 2017-11-01 DOI: 10.1109/ICSAI.2017.8248526
Yehang Zhu, Mingjie Zhang, Yanling Li
This paper puts forward a method to find the hot topic in the micro-blog text data set: select the most frequent strings and then find the hot topic from these frequent strings, the length of the string is set to 1, 2 to 8 words respectively, the most frequent top 50 strings were selected from each group, altogether 400 strings, by browsing these 400 strings, the current hot topics among the micro-blog data set can be found. Experiment demonstrates that these 400 frequent strings can be got in short time, and the hot topics of micro-blog data sets can be found from these 400 frequent strings.
本文提出了一种在微博文本数据集中查找热点话题的方法:选择出现频率最高的字符串,然后从这些频繁字符串中查找热点话题,字符串的长度分别设置为1、2到8个单词,从每组中选取出现频率最高的前50个字符串,共400个字符串,通过浏览这400个字符串,就可以找到微博数据集中当前的热点话题。实验表明,这400个频繁字符串可以在短时间内得到,并且可以从这400个频繁字符串中找到微博数据集的热点话题。
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引用次数: 0
No-reference quality assessment for UHD videos based on HEVC encoded bitstream 基于HEVC编码码流的超高清视频无参考质量评估
Pub Date : 2017-11-01 DOI: 10.1109/ICSAI.2017.8248490
Jiawei Ren, Xiuhua Jiang, Xiaoyu Ma, Li Xu, Xiaoqiang Guo
The paper presents a No-Reference quality assessment algorithm for UHD videos based on HEVC encoded. The algorithm directly extracts the specific video characteristics from the HEVC bitstream, and establishes the mathematical model between the video characteristics and the final video quality through linear regression, so as to realize the objective evaluation of the video quality. The algorithm extracts three video features: the quantization parameters of the measurement compression damage, the number of CTU of different sizes (8×8 & 32×32) and the numbers of the SAO blocks. The experimental results show that the objective evaluation results obtained based on these three parameters have good correlation with the results of subjective experiment results. In addition, because the algorithm only needs to rely on the stream and the coding parameters can be reliable and rapid evaluated, can be widely used in the real-time terminal occasions.
提出了一种基于HEVC编码的超高清视频无参考质量评估算法。该算法直接从HEVC比特流中提取具体的视频特征,并通过线性回归建立视频特征与最终视频质量之间的数学模型,从而实现对视频质量的客观评价。该算法提取了三个视频特征:测量压缩损伤的量化参数、不同大小的CTU个数(8×8 & 32×32)和SAO块的个数。实验结果表明,基于这三个参数得到的客观评价结果与主观实验结果具有良好的相关性。此外,由于该算法只需要依赖流,且编码参数可以可靠、快速地求出,因此可广泛应用于实时终端场合。
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引用次数: 1
Intelligent controlling of indoor air quality based on remote monitoring platform by considering building environment 考虑建筑环境的基于远程监测平台的室内空气质量智能控制
Pub Date : 2017-11-01 DOI: 10.1109/ICSAI.2017.8248365
S. Zhi, Yongbin Wei, Zhen Cao, Chao Hou
Air pollution issues and particularly fine particulate matters are worthy of great concerns as a consequence of crowded factories and heavy traffic. Exposure to the fine particulate matters (PMs) will harm the human health and even cause irreversible damages, which calls for effective monitoring methods. It is necessary to bring in a monitoring platform with sufficient mobility for the places where monitoring stations are not convenient to install. A mobile and portable monitoring platform based on unmanned aerial vehicle (UAV) is developed by combining promoted sensor board and specific communication module in this paper. Moreover, the air quality monitored by UAV-platform will generate important information for the controlling of indoor air quality for indoor environment in the buildings. To meet the indoor inhabitants' requirements of health and comfort, a fuzzy control method is proposed in this paper to control the actuators of air cleaner and ventilator. With a good coordination, an intelligent environment which meets the comfort level with good indoor air quality (IAQ) can be achieved.
由于工厂拥挤和交通繁忙,空气污染问题,特别是细颗粒物问题值得高度关注。细颗粒物会对人体健康造成危害,甚至造成不可逆转的损害,需要有效的监测方法。对于监测站不方便安装的地方,有必要引入具有足够机动性的监测平台。本文将推进式传感器板与专用通信模块相结合,开发了一种基于无人机的移动便携式监控平台。此外,无人机平台监测的空气质量将为建筑室内环境的室内空气质量控制提供重要信息。为了满足室内居民对健康和舒适的要求,本文提出了一种模糊控制方法来控制空气净化器和通风机的执行机构。通过良好的协调,可以实现满足舒适水平和良好室内空气质量(IAQ)的智能环境。
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引用次数: 13
Anomaly detection of Logo images in the mobile phone using convolutional autoencoder 基于卷积自编码器的手机Logo图像异常检测
Pub Date : 2017-11-01 DOI: 10.1109/ICSAI.2017.8248461
Muyuan Ke, Chunyi Lin, Qinghua Huang
There are Logo images printed in the mobile phone. Anomaly detection of Logo image is an important quality control task in the intelligent manufacture. In real applications, there are not enough negative samples in the production line for us to study their difference from normal samples. In this paper, we propose an unsupervised learning method based on convolutional autoencoder (CAE) to generate the template of sample and detect the abnormal information through comparing test images with the adaptive template. Firstly, several methods of data augmentation are introduced to expand the scale of positive samples, aiming to improve the performance of CAE. Secondly, the topology of proposed CAE model is introduced. Thirdly, we introduce the image processing methods to detect and locate the abnormal information in the Logo image. A series of experiments on three group of different Logo image have shown that the method we proposed can effectively detect most of the anomalies in the image and achieve the average accuracy of 98.9%.
手机上打印有Logo图像。标识图像异常检测是智能制造中重要的质量控制任务。在实际应用中,生产线上没有足够的负样品,我们无法研究它们与正常样品的区别。本文提出了一种基于卷积自编码器(CAE)的无监督学习方法来生成样本模板,并通过对比测试图像与自适应模板来检测异常信息。首先,引入了几种数据增强方法来扩大正样本的规模,以提高CAE的性能。其次,介绍了该CAE模型的拓扑结构。第三,介绍了Logo图像中异常信息的检测与定位的图像处理方法。在三组不同的Logo图像上进行的一系列实验表明,我们提出的方法可以有效地检测出图像中的大部分异常,平均准确率达到98.9%。
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引用次数: 21
A study on South China Sea airspace using advanced concepts 南海空域先进概念研究
Pub Date : 2017-11-01 DOI: 10.1109/ICSAI.2017.8248401
R. Guo, W. Yeo, S. M. Phyoe, Z. Zhong
The air traffic in Asia Pacific has been growing rapidly. The South China Sea airspace is also experiencing significant air traffic growth. The rapid growth may induce the deficiency of airspace capacity and cause more problems such as flight congestion and delay. Europe and America have conducted research and implemented particular concepts to ease the situation of high demand. In order to improve the capacity usage of efficiency of the South China Sea airspace, the concepts and technology with the potential of boosting the airspace development are taken into consideration. This paper describes these concepts and the results of preliminary activities to investigate the feasibility of these concepts while keeping safety level in South China Sea airspace. The potential benefits of reduction of fuel consumption, flight duration and route lengths are evaluated. Two city-pairs are examined for route restructure.
亚太地区的空中交通一直在迅速增长。南中国海空域的空中交通也在显著增长。高速增长可能导致空域容量不足,造成更多的航班拥堵和延误等问题。欧洲和美国已经进行了研究,并实施了特定的概念,以缓解高需求的情况。为了提高南海空域的容量利用率和效率,考虑了具有促进空域发展潜力的概念和技术。本文介绍了这些概念和初步活动的结果,以探讨这些概念在保持南海空域安全水平的情况下的可行性。对减少燃料消耗、飞行时间和航线长度的潜在效益进行了评估。考察了两个城市对的路线重组。
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引用次数: 0
Evaluation of human brain aging via diffusion structural characteristics 通过扩散结构特征评价人脑老化
Pub Date : 2017-11-01 DOI: 10.1109/ICSAI.2017.8248469
Daxuan Cai, Xufeng Yao, G. Huang, Zhiqiang Wang, Ping Li, Gang Huang
Diffusion tensor imaging (DTI) is a novel imaging technique, which can evaluate the variation of white matter micro-structure in brain aging. Four network properties of characteristic path length (Lp), clustering coefficient (Cp), global efficiency (Eglobal), local efficiency (Elocal) were measured for the whole brain (WB) and specific cortex between the young and the old one. The results showed that Eglobal decreased and Lp, Cp, Elocal increased with the aging. We draw a conclusion that the chosen parameters of Lp, Cp, Eglobal, Elocal could evaluate the white matter (WM) variation correlated with the brain aging. It used as gold markers for the changes of WB structure.
弥散张量成像(Diffusion tensor imaging, DTI)是一种新的成像技术,可用于评估脑白质微结构在衰老过程中的变化。对全脑(WB)和特定皮层的神经网络特征路径长度(Lp)、聚类系数(Cp)、全局效率(egglobal)、局部效率(local)四种网络特性进行了测量。结果表明,随着年龄的增长,egglobal降低,Lp、Cp、local升高。结果表明,选择的Lp、Cp、egglobal、local参数可以评价脑白质(WM)与衰老相关的变化。作为WB结构变化的金标记物。
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引用次数: 0
An assisted relay selective strategy with the stochastic dynamic programming 基于随机动态规划的辅助中继选择策略
Pub Date : 2017-11-01 DOI: 10.1109/ICSAI.2017.8248410
Rui Zhu, Yangchao Huang, Lei Jiang, Xu Hua
Relay assisted (RA) network and the assisted relay (AR) selection is considered as an efficient technology to improve the communication performance since it is easy to use and do not require extra hardware cost. However, most of the previous research did not consider the imperfect state information of the AR candidate sufficiently since it is hard to be formulated. This shortage limited the application of the existing research in practice. In order to solve this problem, an AR selective (ARS) strategy is proposed and analyzed. Moreover, a threshold determination algorithm based on the stochastic dynamic program (SDP) is also developed to make the ARS strategy more practical. Numerical results show that performance of ARS strategy far superior to the performance without AR.
中继辅助(RA)网络和辅助中继(AR)选择由于其易于使用和不需要额外的硬件成本而被认为是一种有效的提高通信性能的技术。然而,以往的研究大多没有充分考虑候选AR的不完全状态信息,因为它难以表述。这一不足限制了现有研究在实践中的应用。为了解决这一问题,提出并分析了一种AR选择性策略。此外,还提出了一种基于随机动态规划(SDP)的阈值确定算法,使ARS策略更具实效性。数值结果表明,该策略的性能远优于无AR策略。
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引用次数: 0
A branch model simulation for express logistics service system evaluation under online shopping 网络购物下快递物流服务体系评价的分支模型仿真
Pub Date : 2017-11-01 DOI: 10.1109/ICSAI.2017.8248390
Baoqin Yu, Shuping Wu
Under Online shopping environment, express logistics service evaluation system was established based on logistics services theory and Dynamics System Theory Through the analysis of the process of express logistics service. For this system and one main variable “Logistics Services Quality”, their causal relationship was analyzed. Then the system dynamics branch model of a subsidiary variable “timely delivery rate” from the main variable was established. And the model is proved correctly by the dimensionless testing, the sensitivity testing and the extreme conditions testing. On this basis, the data of the four courier companies including SHENTONG EXPRESS (STO), YUANTONG EXPRESS (YTO), ZHONGTONG EXPRESS (ZTO) and YUNDA EXPRESS (YUNDA) were applied to the simulation software Vensim in order to confirm the effectiveness of the simulation Branch Model and to obtain courier companies rankings based on the subsidiary variable, which will provide new methods of express logistics service assessment.
在网络购物环境下,基于物流服务理论和动态系统理论,通过对快递物流服务过程的分析,建立了快递物流服务评价体系。针对该系统和一个主要变量“物流服务质量”,分析了它们之间的因果关系。在此基础上,建立了从主变量衍生出的子变量“准时交货率”的系统动力学分支模型。并通过无量纲试验、灵敏度试验和极端工况试验验证了模型的正确性。在此基础上,将申通速递(STO)、圆通速递(YTO)、中通速递(ZTO)、韵达速递(韵达)四家快递公司的数据应用到仿真软件Vensim中,验证仿真分支模型的有效性,获得基于子变量的快递公司排名,为快递物流服务评价提供新的方法。
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引用次数: 6
Incrementally verifying automata for fingerprint sensors 增量验证指纹传感器的自动机
Pub Date : 2017-11-01 DOI: 10.1109/ICSAI.2017.8248333
P. Hsiao, Gao Shang
With the rapid development of fingerprint technology and computational algorithm, the accuracy requirements of semiconductor fingerprint sensors are getting higher and higher. From a business perspective or to a manufacturer, demands for automatic quality assessment and verification of semiconductor sensors are much critical. This paper has developed a complete evaluation system including extraction, matching algorithm, threshold regulation and cumulative similarity score. The SIN matching solution combined with single point and neighboring triple points mapping strategy is presented as a core of the matching algorithm. By means of repeated operations, an incremental verifying tool for estimating the quality of fingerprints is successfully built. Based on dozen sampling each user's fingertips, a Dozen Matching Module is built as a basic component in the system. Moreover, the method described in this paper can not only assess the full fingerprint or fragment fingerprint sensors, but also strengthen the system in the practical application of extensive and convenient.
随着指纹技术和计算算法的快速发展,对半导体指纹传感器的精度要求越来越高。从商业角度或对制造商来说,对半导体传感器的自动质量评估和验证的需求是非常关键的。本文开发了一个完整的评价体系,包括提取、匹配算法、阈值调节和累积相似度评分。将单点与相邻三点映射策略相结合的SIN匹配方案作为匹配算法的核心。通过重复操作,成功构建了一种用于指纹质量估计的增量验证工具。在对每个用户的指尖进行十几次采样的基础上,构建了一个十几次匹配模块作为系统的基本组成部分。而且,本文所描述的方法不仅可以对完整指纹或碎片指纹传感器进行评估,而且增强了系统在实际应用中的广泛性和方便性。
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引用次数: 0
期刊
2017 4th International Conference on Systems and Informatics (ICSAI)
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