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2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)最新文献

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A credibility measurement method of smart grid data 一种智能电网数据可信度度量方法
Xiaorong Cheng, Tianqi Li
The requirement of the credibility is analyzed for smart grid data and the traditional theories of data measurement and bad data identification are studied in power system. On the basis of that, this paper mainly studies the credibility between data sources, the construction of the trusted network generation algorithm, and the hierarchical and dynamic trusted network model innovatively which is based on the relationship between data sources. The credibility evaluation of data sources, the credibility evaluation between data sources and the credibility evaluation of data are studied. The credibility between data sources is restricted by the credibility of data sources, the credibility of data sources is restricted both from the credibility of data and the credibility between data sources, the credibility of data is restricted by the credibility between data sources and the credibility of data sources, they are interrelated and restricted by each other and constitute to a whole. The simulation results show that the model can satisfy the requirement of the credibility of smart grid data better, and provide the ideas to solve the problem of the credibility measure for prospective research is feasible.
分析了智能电网数据的可靠性要求,研究了电力系统中传统的数据测量和不良数据识别理论。在此基础上,本文创新性地研究了数据源之间的可信度、可信网络生成算法的构建以及基于数据源之间关系的分层动态可信网络模型。研究了数据源的可信度评价、数据源之间的可信度评价和数据的可信度评价。数据源之间的可信性受到数据源可信性的制约,数据源的可信性受到数据可信性和数据源之间可信性的制约,数据的可信性受到数据源之间可信性和数据源之间可信性的制约,它们相互关联,相互制约,构成一个整体。仿真结果表明,该模型能较好地满足智能电网数据可信度的要求,为未来研究提供解决可信度度量问题的思路是可行的。
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引用次数: 2
Study of transmission effects of millimeter wave through fog and haze 毫米波在雾霾中的传输效应研究
Lin Lin, Zhu Li
With the decline in air quality, China has frequently appeared foggy and hazy weather. It would have a negligible impact on the detection performance of millimeter wave systems. In this paper, the physical characteristics of fog and haze are discussed in detail. The mechanism of millimeter wave attenuation through fog and haze will be introduced as well. Calculation model of fog scattering and atmospheric absorption attenuation during millimeter wave propagation are established in this paper. Based on the above analysis, it works out the total attenuation consists of the haze scattering and atmospheric absorption, and further analysis the performance of the millimeter-wave systems working at non-atmospheric windows emphatically. The result shows that it has superior anti-reconnaissance performance and anti-jamming performance at non-atmospheric windows.
随着空气质量的下降,中国经常出现雾霾天气。对毫米波系统的探测性能的影响可以忽略不计。本文详细讨论了雾和霾的物理特性。本文还将介绍毫米波在雾霾中的衰减机理。建立了毫米波传播过程中雾散射和大气吸收衰减的计算模型。在此基础上,推导出了由雾霾散射和大气吸收组成的总衰减,并进一步着重分析了工作在非大气窗口的毫米波系统的性能。结果表明,该系统具有优越的反侦察性能和非大气窗口的抗干扰性能。
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引用次数: 3
Research on characteristics of ionospheric echo based on ocean 基于海洋的电离层回波特征研究
Zi-li Li, Chun-yang Jia, Da Huang
To verify the feasibility of the typhoon detection with the ocean echo data obtained by the shore-based High-Frequance Surface Wave Radar(HFSWR). The data was measured on the Bech Long Vi island of in September 2013. Calculate correlation coefficients of every part data to extract the ionospheric echo data, which infers reason out ionospheric echo variation characteristic. And it calculates the ionospheric echo SNR and analysis its SNR variation characteristics under the influence of typhoon. Ionospheric echo presents daily periodic changes in range-Doppler spectrum; Ionospheric echo SNR under the influence of typhoon decreased by about 5% to 10 %without the influence. It is feasible to detect typhoon with the ionospheric echo variation characteristic extracted from radar echo data.
验证岸基高频表面波雷达(HFSWR)海洋回波资料探测台风的可行性。这些数据是2013年9月在长岛海滩测量的。计算各部分数据的相关系数,提取电离层回波数据,推断出电离层回波变化特征。计算电离层回波信噪比,分析台风影响下电离层回波信噪比的变化特征。电离层回波在距离-多普勒谱上呈现日周期性变化;无台风影响时,电离层回波信噪比下降约5% ~ 10%。利用雷达回波资料提取的电离层回波变化特征对台风进行探测是可行的。
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引用次数: 2
Detection method of SQL injection attack in cloud computing environment 云计算环境下SQL注入攻击的检测方法
Kuisheng Wang, Yan Hou
For the issues that the Web service is easy to suffer from SQL injection attacks in cloud computing environment. This paper proposes a kind of SQL detection method which combined with dynamic taint analysis and input filtering. And it is embedded in the cloud environment to achieve the protection of the Web applications in cloud deployment. First, the method obtains the SQL keywords through the analysis of lexical regulation for SQL statement. Then, it analyses the syntax regulation of SQL statement to create the rule tree. Finally, it traverses ternary tree on the basis of the model which established by SQL syntax regulation to detect the attacks. Experimental results show that the method is effective and feasible. Also, the accuracy is improved by adding the detection module.
针对云计算环境下Web服务容易遭受SQL注入攻击的问题。提出了一种将动态污染分析和输入过滤相结合的SQL检测方法。并将其嵌入到云环境中,实现对云部署中的Web应用程序的保护。该方法首先通过分析SQL语句的词法规则,得到SQL关键字。然后,分析SQL语句的语法规则,创建规则树。最后,在SQL语法规则建立的模型的基础上,遍历三叉树进行攻击检测。实验结果表明,该方法是有效可行的。通过增加检测模块,提高了检测精度。
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引用次数: 14
Differential power analysis attack and countermeasures on MCrypton 对MCrypton的差分功率分析攻击及对策
Sixiang Wang, Qi Cui, Xianwei Gao, Lei Zhang, Xiaoyi Duan
MCrypton is an ultra-lightweight symmetric cryptographic algorithm, which is designed to adapt to the resource constrained computing scenarios, such as RFID tags and sensor networks, etc. With the continuous development of Internet of things (IoT), the application of this kind algorithm becomes increasingly popular, so the implementation security of the algorithm has correspondingly become an imperative research area. Among the attack methods, the power consumption attack (PA) is widely adopted because of its advantages such as easy acquisition, fast efficiency and high accuracy. This paper has designed a complete differential power attack (DPA) platform, targeting at the mCrypton algorithm implemented on a Mega16 micro-controller. Test results indication that the mCrypton algorithm is vulnerable to power consumption attack under the current hardware environment. Also, to resist these attacks, the present paper proposes a fixed-value mask algorithm for mCrypton.
MCrypton是一种超轻量级对称加密算法,旨在适应资源受限的计算场景,如RFID标签和传感器网络等。随着物联网(IoT)的不断发展,这类算法的应用日益普及,因此算法的实现安全性也相应地成为一个迫切的研究领域。其中,功耗攻击(power - consumption attack, PA)以其易于获取、效率快、精度高等优点被广泛采用。本文设计了一个完整的差分功率攻击(DPA)平台,针对在Mega16微控制器上实现的mCrypton算法。测试结果表明,在当前硬件环境下,mCrypton算法容易受到功耗攻击。为了抵抗这些攻击,本文提出了一种固定值掩码算法。
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引用次数: 2
Efficient classification of benign and malignant thyroid tumors based on characteristics of medical ultrasonic images 基于医学超声图像特征的甲状腺良恶性肿瘤有效分类
Junying Chen, Haijun You
As the health issue is being concerned by more and more people, the workload of a clinical doctor becomes larger. As there are many images to diagnose every day for a medical ultrasonic doctor, image pattern recognition and classification technologies for medical ultrasonic images are necessary to reduce the workload of the clinical doctor. The major image pattern recognition methods include Bayesian pattern classifier, support vector machine method, and neural network model. These image pattern classification methods present good image classification performance but require large training dataset and long training time. As such, efficient characteristics-based image pattern classification methods were discussed in this paper, standard deviation classification method and aspect ratio classification method. They were applied to the recognition and classification of benign and malignant thyroid tumors on medical ultrasonic images. These image pattern recognition methods were built upon the inherent characteristics of the benign and malignant thyroid tumors which were presented on the ultrasonic images. The efficient classification methods interpreted in the paper demonstrated good classification performance, which verified that the characteristics-based image pattern classification methods can be utilized in effective image classifier construction.
随着健康问题被越来越多的人关注,临床医生的工作量越来越大。由于医学超声医生每天需要诊断的图像很多,因此需要医学超声图像的图像模式识别和分类技术来减轻临床医生的工作量。目前主要的图像模式识别方法有贝叶斯模式分类器、支持向量机方法和神经网络模型。这些图像模式分类方法具有良好的图像分类性能,但需要较大的训练数据集和较长的训练时间。为此,本文讨论了基于特征的高效图像模式分类方法:标准差分类方法和纵横比分类方法。将其应用于医学超声图像上甲状腺良恶性肿瘤的识别与分类。这些图像模式识别方法是基于超声图像上甲状腺良恶性肿瘤的固有特征而建立的。本文解释的高效分类方法显示了良好的分类性能,验证了基于特征的图像模式分类方法可以用于有效的图像分类器构建。
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引用次数: 6
A pitch correction system based on spectral modeling synthesis technique 基于谱模拟合成技术的基音校正系统
Nan Yang, W. Xu, Wei Liu, W. Cheng
Pitch correction with preservation of voice timbre has been a challenging issue that hinders the development of music related applications. To address this problem, we propose a spectral modeling synthesis (SMS) based automatic pitch correction system for singing voice. When obtaining one candidate singing voice, we firstly conduct pitch detection with voiced/unvoiced decision, and extracts the pitch contour. Then it is compared with the reference pitches that is extracted from the singing voice of famous singer, such that the detuned parts can be determined. We perform SMS method to obtain the frequency components together with the spectral envelop of the candidate singing voice, and then continue adjusting the phase of every spectral peak by preserving the spectral envelop, until all the pitches are corrected. Experimental results show that the proposed system can provide good pitch correction effect.
保留音色的音高校正一直是一个具有挑战性的问题,阻碍了音乐相关应用程序的发展。为了解决这个问题,我们提出了一种基于频谱建模合成(SMS)的歌唱声音自动音高校正系统。当获得一个候选歌声时,首先进行浊音/浊音判断的音高检测,并提取音高轮廓。然后将其与从著名歌手的歌声中提取的参考音高进行比较,从而确定失谐部分。我们使用SMS方法获得候选歌唱声音的频率成分和频谱包络,然后通过保留频谱包络继续调整每个频谱峰的相位,直到所有音高都得到校正。实验结果表明,该系统具有良好的基音校正效果。
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引用次数: 0
Study on the comprehensive benefit analysis model of smart distribution and utilization system 智能配送利用系统综合效益分析模型研究
S. Qiang, Yi Tao, Liu Bin, L. Hongzhong, Wang Linyu
Starts from the characteristics of the smart distribution and utilization system(SDUS), typical and representative applications are summarized for further research. The comprehensive benefit analysis model of SDUS from the perspective of the entire society, taking the battery-energy storage system (BESS), distributed generation (DG), charging and exchanging station, micro grid and smart home into account, is introduced on the basis of establishing the cost benefit models of all kinds of smart businesses through extracting the correlation among the various business from a bottom-up way. Combined with an example, the comprehensive benefit of SDUS and the contribution degrees of smart businesses to the benefits were analyzed. Result shows that the use of SDUS has certain social value, and the concept of net loss sensitivity and reliability sensitivity can be used to analysis redundant relationship and obtain the contribution degree of different devices to the total net loss benefit and total reliability benefit.
从智能配电与利用系统(SDUS)的特点出发,总结了典型和具有代表性的应用,以供进一步研究。在建立各类智能业务的成本效益模型的基础上,通过自下而上的方式提取各业务之间的相关性,引入了全社会视角下的SDUS综合效益分析模型,将电池储能系统(BESS)、分布式发电(DG)、充电站、微电网和智能家居考虑在内。结合实例,分析了SDUS的综合效益以及智能企业对综合效益的贡献程度。结果表明,SDUS的使用具有一定的社会价值,利用净损失灵敏度和可靠性灵敏度的概念可以分析冗余关系,得到不同设备对总净损失效益和总可靠性效益的贡献程度。
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引用次数: 0
Hybrid variable neighborhood search for batch scheduling of hot rolled steel tube 热轧钢管批量调度的混合变量邻域搜索
Zixuan Wu, Li Tieke, Bailin Wang
Market demand of hot rolled seamless steel tube has the characteristics of multi-varieties and small batch. To meet the market demand and satisfy production requirements of seamless steel tube enterprises, this paper considers the machine maintenance factors and proposes a batch scheduling model. The model takes the machine adjustment and the idle time as optimization objective. To solve the problem, a hybrid variable neighborhood search combined with simulated annealing is designed. Experimental results show the feasibility and effectiveness of the model and algorithm.
热轧无缝钢管的市场需求具有品种多、批量小的特点。为满足市场需求,满足无缝钢管企业的生产要求,考虑机器维修因素,提出了批量调度模型。该模型以机床调整和闲置时间为优化目标。为了解决这一问题,设计了一种结合模拟退火的混合变量邻域搜索方法。实验结果表明了该模型和算法的可行性和有效性。
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引用次数: 2
Fast Hartley transform (FHT)based reconstruction algorithm of compressed sensing 基于快速Hartley变换(FHT)的压缩感知重构算法
Hao Liu, Fang Liu, D. Tao
Based on the principle of compressed sensing theory and one of the reconstruction way—Matching Pursuit (MP) algorithm, this paper improve the MP algorithm, this method analyses the time-frequency parameter property of the Gabor atom and converts the inner product calculations in MP algorithm into cross-correlation calculations to reduce the computation cost. For real signal, cross-correlation calculation can be fast done by fast Hartley transform. Test shows that this approach can greatly improve the speed of reconstruction algorithm of compressed sensing
基于压缩感知理论的原理和重构方式之一匹配追踪(MP)算法,对MP算法进行了改进,该方法分析了Gabor原子的时频参数特性,将MP算法中的内积计算转化为互相关计算,降低了计算成本。对于真实信号,利用快速哈特利变换可以快速地完成相互关计算。实验表明,该方法可以大大提高压缩感知重构算法的速度
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引用次数: 0
期刊
2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)
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