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2019 First International Conference of Computer and Applied Sciences (CAS)最新文献

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Some Properties of $mathcal{C}$-Topological Space $mathcal{C}$-拓扑空间的一些性质
Pub Date : 2019-12-01 DOI: 10.1109/CAS47993.2019.9075795
Dheargham Ali Abdulsada, L. Al-Swidi
In the present study, the centre set theory have been employed to define the new class of topological space. The dense and nowhere dense were defined via the centre topological space. Also, we were given some properties and relationship between them.
本文利用中心集理论来定义一类新的拓扑空间。通过中心拓扑空间来定义密集和无密集。并给出了它们之间的一些性质和关系。
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引用次数: 0
Influence of Peristaltic Flow And Brownian Motion Of Jeffery Nanofluid In A Tapered Asymmetric Channel 锥形非对称通道中杰弗瑞纳米流体蠕动流动和布朗运动的影响
Pub Date : 2019-12-01 DOI: 10.1109/CAS47993.2019.9075645
A. Al-haddad, A. A. Abdul hadi
In this research, the impact of magnetic field peristaltic transport and Brownian movement of Jeffery nanofluid in a tapered symmetric channel is examined under the hypotheses of long wave length and low Reynolds number. The nondimensional nonlinear momentum and concentration equations numerically are solved. Graphically results are utilised to show the force of several coefficients against the axial velocity, temperature profile, and concentration of nanoparticle. The results were compared with other research.
本文研究了在长波长和低雷诺数假设下,磁场对Jeffery纳米流体在锥形对称通道中的蠕动输运和布朗运动的影响。对无量纲非线性动量和浓度方程进行了数值求解。图形结果用于显示作用力的几个系数对轴向速度,温度分布,和纳米颗粒的浓度。研究结果与其他研究结果进行了比较。
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引用次数: 0
Designing and building 16 scrolls attractor of Chua's Circuit and making Sync among them 蔡氏电路16个卷轴吸引子的设计与制作,并实现了它们之间的同步
Pub Date : 2019-12-01 DOI: 10.1109/CAS47993.2019.9075462
Huda Alwan Jasim, Eidan Abdallah Asi, M. I. Malik, Sattar Abdalhussian Shahatha
This paper shows the synchronization in multi-scroll Chua's circuit, designing and building it. The generating of multi-scroll attractors take place by doubling the breakpoints of Chua's circuit; this requires a formula for determining and calculating these breakpoints voltages and value of nonlinear resistors. We observed that theoretical calculation, computer simulations and experimental results, they all corresponding. We get some of the important concepts, first: increasing the number of nonlinear resistors lead to more breakpoints, and the last leads to more scrolls that have the same size. 2nd: The higher the number of scrolls, the better in applications.
本文介绍了多涡旋蔡氏电路中的同步问题,并对其进行了设计和制作。多涡旋吸引子的产生是通过将蔡氏电路的断点加倍来实现的;这需要一个公式来确定和计算这些断点电压和非线性电阻的值。我们观察到,理论计算、计算机模拟和实验结果都符合。我们得到了一些重要的概念,首先:增加非线性电阻的数量会导致更多的断点,最后会导致更多具有相同尺寸的卷轴。第二:卷轴数量越多,应用效果越好。
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引用次数: 0
Recent Audio Steganography Trails and its Quality Measures 最近的音频隐写跟踪及其质量措施
Pub Date : 2019-12-01 DOI: 10.1109/CAS47993.2019.9075778
S. Sadkhan, Abbas A. Mahdi, R. S. Mohammed
The term Steganography refers to the science that deals with hiding the secret messages (text or anything else) inside an original cover file of the text, audio, video or image. The need for modern methods is to keep the secret information and protected it with the increasing danger of outside hackers. Steganography seems to be a good option to increase information security by hiding them. This paper is a review of the past year's methods used in audio steganography. Audio steganography is a method to hide a secret message (sound or anything else) in an audio cover file, in varied ways. It is a proposal for future actions. These methods used different types of digital audio such as WAV, MP3 or AU. The result showed that most of the studies used LSB to embed secret messages, but with other encryption-system for strength LSB family. Others Modified LSB to produce an enhanced method. In general, most studies concentrate on common methods or their combination to develop new efficient methods. Most of the studies had a lack in all or some measures of invisibility and robustness. This concept came after authors' interesting in cryptography more than steganography. This study recommended maintaining all measures to enable future studies to determine which steganography method is most effective.
“隐写术”一词指的是在文本、音频、视频或图像的原始封面文件中隐藏秘密信息(文本或其他任何东西)的科学。现代方法的需要是保存机密信息,并保护它免受外部黑客日益增加的危险。隐写术似乎是一个很好的选择,通过隐藏它们来增加信息安全。本文综述了近年来在音频隐写术中使用的方法。音频隐写术是一种以各种方式在音频覆盖文件中隐藏秘密消息(声音或其他任何内容)的方法。这是对未来行动的建议。这些方法使用不同类型的数字音频,如WAV、MP3或AU。结果表明,大多数研究都使用LSB来嵌入秘密信息,但与其他加密系统相比,LSB家族的强度更大。其他修改LSB产生增强方法。一般来说,大多数研究都集中在常用方法或它们的组合上,以开发新的有效方法。大多数研究都缺乏对不可见性和稳健性的全部或部分衡量标准。这个概念来自于作者对密码学的兴趣,而不是隐写术。本研究建议保留所有措施,以便将来的研究确定哪种隐写方法最有效。
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引用次数: 7
Estimation of the recurrence rate of Bladder Cancer Tumor 膀胱癌肿瘤复发率的估计
Pub Date : 2019-12-01 DOI: 10.1109/CAS47993.2019.9075765
Selma Thabet Thaker, Amaal Sadeq Hamoodi
The research dealt with using (Poisson Regression Model) to estimate the recurrence rate of Bladder cancer over six months' period, after injurer's recovery. Since the dependent variable in this model represents the numerous of recurs tumor in the bladder, while the related explanatory variables associated with the recurrence of the tumor represented by heredity, smoking, chronic, inflammation, age and gender, which supposed to affected tumor recurrence. We have relied on (Generalized Linear models) which the Poisson regression model considered apart from it, in finding the model capabilities and developing its statistical reasoning.
本研究采用泊松回归模型(Poisson Regression Model)估计伤者康复后6个月内膀胱癌的复发率。由于本模型的因变量代表膀胱肿瘤复发的数量,而与肿瘤复发相关的解释变量代表遗传、吸烟、慢性、炎症、年龄和性别,这些应该会影响肿瘤的复发。在寻找模型能力和发展其统计推理方面,我们依赖于泊松回归模型所考虑的广义线性模型。
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引用次数: 0
Spam Email Image Classification Based on Text and Image Features 基于文本和图像特征的垃圾邮件图像分类
Pub Date : 2019-12-01 DOI: 10.1109/CAS47993.2019.9075725
Estqlal Hammad Dhah, M. A. Naser, Suhad A. Ali
Filtering of spam image-based email remains a major challenge for researchers. This paper presents a proposed work which is based on several facts such that spam images containing a large percentage of text which has characteristics or features different from other types of images. In addition to that, there is much similarity between the features of these images. These facts can be used to distinguish text regions spam images from others. A hybrid method based on combined features vector from text regions and features of the image is proposed. Two types of features are extracted. The first features extraction method is the local binary pattern (LBP) with extricating the image texture features directly, while the second is utilised to extricate features of image text regions only. The extracted features are used in individual and combination style in order to learn classifiers at the training stage. A one-class KNN classifier and two-class KNN classifier are applied separately. Each classifier was used in three fashion, with the text-regions features, with texture features in the image, and with merging both those features respectively. Experimental results showed that the appropriation of both image and text features together improves the effectiveness of the classification concerning the case in which only image or text features are used.
过滤基于图片的垃圾邮件仍然是研究人员面临的主要挑战。本文提出了一种基于几个事实的建议工作,例如垃圾图像包含大量具有不同于其他类型图像的特征或特征的文本。除此之外,这些图像的特征也有很多相似之处。这些事实可以用来区分文本区域和其他垃圾图像。提出了一种基于文本区域特征向量与图像特征相结合的混合方法。提取两种类型的特征。第一种特征提取方法是直接提取图像纹理特征的局部二值模式(LBP),第二种特征提取方法只提取图像文本区域的特征。提取的特征以单独和组合的方式使用,以便在训练阶段学习分类器。分别应用了一类KNN分类器和两类KNN分类器。每个分类器以三种方式使用,分别使用文本区域特征、图像中的纹理特征和合并这两种特征。实验结果表明,在仅使用图像或文本特征的情况下,同时使用图像和文本特征可以提高分类的有效性。
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引用次数: 5
Optimisation of Adaptive Antenna Array Performance Using Particle Swarm Algorithm 基于粒子群算法的自适应天线阵列性能优化
Pub Date : 2019-12-01 DOI: 10.1109/CAS47993.2019.9075491
Aseel abdul-karim Qasim, A. Sallomi
Smart antenna represents one of the promising technology in the Fourth Generation (4G) and other future cellular wireless communication systems due to its capabilities to provide high capacity and coverage with the use of the allocated RF spectrum. This paper discusses, the potential of Particle Swarm Optimization (PSO) algorithm in adaptive pattern synthesis of the linear antenna array systems. The validity of the PSO algorithm in distinguishing between the desired signal and interferers is tested through considering uniform and non-uniform spaced linear array. The PSO is used to optimise the interspace between array elements at which maximum directivity is achieved. The simulations confirmed that smart system performance improvement in term of directivity, sidelobe level reduction and HPBW could be achieved through the use of PSO algorithm.
智能天线是第四代(4G)和其他未来蜂窝无线通信系统中有前途的技术之一,因为它能够通过使用分配的射频频谱提供高容量和覆盖范围。讨论了粒子群优化算法在线性天线阵自适应方向图合成中的应用潜力。通过考虑均匀和非均匀间隔线性阵列,验证了粒子群算法在区分期望信号和干扰信号方面的有效性。PSO用于优化阵列元素之间的间距,使其达到最大指向性。仿真结果表明,采用粒子群算法可以在指向性、旁瓣电平降低和HPBW等方面提高智能系统的性能。
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引用次数: 3
Melanoma Skin Cancer Detection Based on ABCD Rule 基于ABCD规则的黑色素瘤皮肤癌检测
Pub Date : 2019-12-01 DOI: 10.1109/CAS47993.2019.9075465
Nabeel F. Lattoofi, I. Al-Sharuee, Mohammed Y. Kamil, Ayoob H. Obaid, Aya A. Mahidi, Ammar A. Omar, A. Saleh
Skin cancer is the most common cancers in the last years, especially in the human body; the Melanoma is the most destructive type of skin lesions. Detect cancer is important at the initial stage, but only an expert dermatologist can detect which one is non-melanoma and melanoma. Computer-aided diagnosis (CADs) application to skin cancer is relatively understudied. The purpose of this paper is the automated detection of Melanoma via digital image processing. In this project, the algorithm consists of automatic ABCD (asymmetry, border irregularity, colour, and dermoscopic structure) rule of dermoscopy lesions images is implemented. Before that, we use hair removal as a pre-processing step which is based on morphological filter and thresholding. Finally, the lesions are classified as either melanoma or benign. The used dataset is containing 200 dermoscopic images, where 120 are benign lesions and 80 malignant melanomas. The proposed method shows an accuracy of 93.2%, 92.59% specificity, and 90.15% sensitivity.
皮肤癌是近年来最常见的癌症,尤其是在人体中;黑色素瘤是最具破坏性的皮肤病变。在最初阶段检测癌症很重要,但只有专业的皮肤科医生才能检测出哪个是非黑色素瘤,哪个是黑色素瘤。计算机辅助诊断(cad)在皮肤癌中的应用研究相对较少。本文的目的是通过数字图像处理实现黑色素瘤的自动检测。在本课题中,算法实现了皮肤镜病变图像的自动ABCD(不对称、边缘不规则、颜色和皮肤镜结构)规则。在此之前,我们将脱毛作为基于形态滤波和阈值分割的预处理步骤。最后,病变被分类为黑色素瘤或良性。使用的数据集包含200张皮肤镜图像,其中120张为良性病变,80张为恶性黑色素瘤。该方法准确率为93.2%,特异度为92.59%,灵敏度为90.15%。
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引用次数: 11
期刊
2019 First International Conference of Computer and Applied Sciences (CAS)
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