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2016 International Conference on Recent Trends in Information Technology (ICRTIT)最新文献

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InfluenceRank: A machine learning approach to measure influence of Twitter users InfluenceRank:一种衡量Twitter用户影响力的机器学习方法
Pub Date : 2016-04-08 DOI: 10.1109/ICRTIT.2016.7569535
Ashish Nargundkar, Y. S. Rao
We devise a system for measuring influence of Twitter users, which we call InfluenceRank, based on certain features extracted from their Twitter profiles and tweets authored over the duration of two months. As in the real world, influence of a user on social media may be judged by the engagement they drive through the content they publish. For a tweet, engagement can be most obviously measured by the number of retweets (RTs), favourites and replies it gets. Our system comprises of a regression based machine learning approach with InfluenceRank as the predictor variable against the set of our proposed features. The regression model has shown reasonable accuracy despite being fit on limited data.
我们设计了一个衡量Twitter用户影响力的系统,我们称之为InfluenceRank,基于从他们的Twitter个人资料和两个月内撰写的推文中提取的某些特征。就像在现实世界中一样,用户在社交媒体上的影响力可以通过他们发布的内容所带来的参与度来判断。对于一条推文来说,参与度最明显的衡量标准是转发(RTs)、收藏夹和回复的数量。我们的系统包括基于回归的机器学习方法,以InfluenceRank作为预测变量,针对我们提出的特征集。该回归模型虽然在有限的数据上具有一定的拟合精度。
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引用次数: 14
Kalman filter based phase delay reduction technique 基于卡尔曼滤波的相位延迟降低技术
Pub Date : 2016-04-08 DOI: 10.1109/ICRTIT.2016.7569549
Shahjahan Shaik, J. Popat, T. Kishore Kumar
Phase delay and phase noise are the serious problems in wireless communication, which may degrade the total system performance and brings instability. In satellite position controlling systems, accelerometer sends the position information to the radar through free space, and then forwards to control system on the ground. Received signal contains high frequency random noise along with satellite position information. By using the low pass filters like Butterworth, Chebechev, can remove the high frequency noise. These filters provide phase delays and may cause the change in total system phase margin, stability and accuracy of information present in the signal. This paper presents a Kalman filtering based approach to overcome the phase delay and stability problems which estimates the desired sensor signal by taking a noisy contaminated sensor signal as input.
相位延迟和相位噪声是无线通信中存在的严重问题,它会降低系统的整体性能并带来不稳定性。在卫星位置控制系统中,加速度计通过自由空间将位置信息发送给雷达,再转发给地面控制系统。接收信号中含有高频随机噪声和卫星位置信息。通过使用巴特沃斯、切别切夫等低通滤波器,可以去除高频噪声。这些滤波器提供相位延迟,并可能导致系统总相位裕度、信号中信息的稳定性和准确性的变化。本文提出了一种基于卡尔曼滤波的方法,以受噪声污染的传感器信号作为输入估计所需传感器信号,以克服相位延迟和稳定性问题。
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引用次数: 2
Classification of high spatial resolution images using semantic allocation level-probabilistic topic model 基于语义分配-概率主题模型的高空间分辨率图像分类
Pub Date : 2016-04-08 DOI: 10.1109/ICRTIT.2016.7569524
M. Ushanandhini, M. S. Tech, M. E. Rajesh, Mr M Rajakani
Scene classification is treated to be a philosophical and the powerful method for HSR (High spatial resolution) images. Many academicians and researchers paid their attention towards the agglomeration of numerous features. Initially, a survey on PTM (Probabilistic Topic Model) was done in a finest manner and they have concluded that, a single feature (i.e., a spectral feature) was not best suited for HSR images. The next investigation was performed on CAT-PTM and their basic theory behind this method was that, the words of visual dictionary are highly correlated. Due to these inadequacies, the above methods are not valid for HSR images. Thus, the paper proposes SAL-PTM (Semantic Allocation Level - Probabilistic Topic Model) method through which three features (i.e., Texture, Scale Invariant Feature Transform and Spectral) are extracted for better performance. The semantic description of low level descriptors is generated by means of K-means clustering. Finally, the features obtained from the latent semantic allocations are isolated by means of PTM and their performance was evaluated and compared by using LDA (Latent Dirichlet Allocation) and PLSA (Probabilistic Topic Model). A U.S geological survey dataset and UC Merced Dataset was tested on SAL-PTM (Semantic Allocation Level-Probabilistic Topic Model). In response to that, a precise outcome was obtained suggesting that our proposed SAL-PTM method was confined to prove its effectiveness.
场景分类是处理高空间分辨率图像的一种有效方法。许多学者和研究人员关注了众多特征的集聚。最初,对PTM(概率主题模型)的调查以最好的方式完成,他们得出结论,单一特征(即光谱特征)并不最适合高铁图像。接下来的调查是在CAT-PTM上进行的,他们的基本理论是,视觉词典中的单词是高度相关的。由于这些不足,上述方法不适用于高铁图像。为此,本文提出了语义分配水平-概率主题模型(Semantic Allocation Level - Probabilistic Topic Model, SAL-PTM)方法,通过提取纹理、尺度不变特征变换和光谱三个特征来提高性能。通过k -均值聚类生成低级描述符的语义描述。最后,利用PTM对潜在语义分配获得的特征进行分离,并利用LDA (latent Dirichlet Allocation)和PLSA (Probabilistic Topic Model)对其性能进行评价和比较。在语义分配水平-概率主题模型(Semantic Allocation Level-Probabilistic Topic Model)上对美国地质调查数据集和UC Merced数据集进行了测试。对此,我们得到了一个精确的结果,表明我们提出的SAL-PTM方法仅限于证明其有效性。
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引用次数: 2
Preserving privacy using TPA for cloud storage based on regenerating code 在基于代码再生的云存储中使用TPA保护隐私
Pub Date : 2016-04-01 DOI: 10.1109/ICRTIT.2016.7569544
Geeta F. Nadlamani, S. Shaikh
Cloud storage is getting popular as it offers flexible service with appealing benefits of on-demand data outsourcing. Putting away files remotely instead of locally boasts an array of preferences for both home and professional clients. In this paper we are trying to secure all kind of private data into cloud by providing some security levels which includes encryption, digital signature and visual cryptography. The utilization of visual cryptography is investigated to safeguard the privacy of a picture captcha. This picture captcha is broken down into two shares also known as sheets that are put away in separate database servers one with client and one with application such that the first picture captcha can be uncovered only when both shares are accessible. The individual sheet pictures do not uncover the character of the first picture captcha. When the original picture captcha is uncovered to the client it can be utilized as the secret word. In private auditing scheme for regenerated coded file there exist remote checking method, which include users to stay online, which is not practical. So to endeavor this, third party auditor (TPA) is used to resolve problem of clients for being online all the time.
云存储越来越受欢迎,因为它提供了灵活的服务,并具有按需数据外包的吸引力。远程存放文件而不是本地存放文件,为家庭和专业客户提供了一系列偏好。在本文中,我们试图通过提供一些安全级别,包括加密、数字签名和可视化加密,来保护所有类型的私有数据进入云。研究了利用视觉密码技术来保护图片验证码的隐私。这个图片验证码被分解成两个共享,也称为表,放在单独的数据库服务器中,一个与客户端一起,一个与应用程序一起,这样只有当两个共享都可以访问时,才可以揭开第一个图片验证码。单张图片不能揭示第一张图片验证码的特征。当原始图片验证码被揭开给客户端时,它可以被用作密码。在再生编码文件的私有审计方案中,存在需要用户在线的远程检查方法,这是不现实的。为此,采用第三方审计(TPA)来解决客户一直在线的问题。
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引用次数: 0
Triple band monopole antenna for WLAN and WIMAX applications 用于WLAN和WIMAX应用的三波段单极天线
Pub Date : 2016-04-01 DOI: 10.1109/ICRTIT.2016.7569598
S. Swathi, V. Bhanumathi
A novel triple band monopole antenna is proposed in this paper. By introducing an E-Shaped patch on the top of the substrate and an inverted L-Shape slit in the infinite ground plane, circular polarization is realized to minimize the losses. It can operate at the frequency of 2.4 GHz, 3.3 GHz and 5.2 GHz for WLAN a/g and WIMAX applications. The dimension of the proposed antenna is relatively small (40 × 45mm2) and it can operate over the frequency range of 2.10-2.85 GHz, 3.1-3.65 GHz and 4.95-5.80 GHz. The simulated results obtained from HFSS 13.0 software and measured results from Agilent network analyser tool shows that the designed antenna performs the triple band operation.
提出了一种新型的三波段单极天线。通过在基板顶部引入e形贴片,在无限接平面上引入倒l形狭缝,实现圆极化,使损耗最小化。它可以在2.4 GHz、3.3 GHz和5.2 GHz的频率下工作,适用于WLAN a/g和WIMAX应用。该天线尺寸较小(40 × 45mm2),可在2.10 ~ 2.85 GHz、3.1 ~ 3.65 GHz和4.95 ~ 5.80 GHz频率范围内工作。HFSS 13.0软件的仿真结果和安捷伦网络分析仪的测量结果表明,所设计的天线可以实现三波段工作。
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引用次数: 12
Patch ordering based SAR image despeckling via SSC and wavelet thresholding 基于小波阈值和SSC的SAR图像去斑算法
Pub Date : 2016-02-01 DOI: 10.1109/ICICES.2016.7518862
Neenu Jose, R. Ramesh
In recent years, variety of techniques were developed in the field of SAR image despeckling, which avail to inhibit the Speckle in SAR Image. This paper proposes a patch ordering based SAR image despeckling approaches, which uses two transform domain filtering. The proposed approach consists of two stage filtering. In the first step i.e. coarse filtering, denoising is done by simultaneous Sparse Coding (SSC). The diminutive artifacts engendered by the coarse filtering can be removed by second stage of filtering i.e. refined filtering. In this step, filtered image is obtained by Wavelet Hard thresholding. Experimental results showed that the proposed system achieves good Structural similarity Index Measure (SSIM), Peak Signal to Noise Ratio (PSNR) values for despeckled images.
近年来,在SAR图像去斑领域发展了多种技术,用于抑制SAR图像中的斑点。本文提出了一种基于补丁排序的SAR图像去斑方法,该方法采用两次变换域滤波。该方法由两阶段滤波组成。在第一步即粗滤波中,通过同步稀疏编码(SSC)进行去噪。粗滤波产生的小伪影可以通过第二阶段滤波即精细滤波去除。在这一步中,通过小波硬阈值分割得到滤波后的图像。实验结果表明,该系统对去斑点图像具有较好的结构相似度指标(SSIM)和峰值信噪比(PSNR)值。
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引用次数: 1
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2016 International Conference on Recent Trends in Information Technology (ICRTIT)
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