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2018 International Symposium on Consumer Technologies (ISCT)最新文献

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The bootstrap Kernel-diffeomorphism filter for satellite image restoration 用于卫星图像恢复的自举核微分同态滤波器
Pub Date : 2018-05-11 DOI: 10.1109/ISCE.2018.8408924
Bassel Marhaba, M. Zribi
The satellite imagery is very important in several fields such as security, agriculture and other fields. As like as other images, satellite images are subject to be degraded due to noise effects that occur during the capture and/or transmitting process. These effects will cause altered noise styles such as, speckle noise, Gaussian noise and others. The main purpose of the image restoration process is to eliminate the noise that present in the image. Researchers used linear and nonlinear filters to recover images. The Kalman linear filter is generally used. Non-linear filters like the extended Kalman filter (EKF) was also used. Bootstrap method is based on both Bayesian state estimation and Monte Carlo method, and it is a robust method because it is not constrained by the linearity in linear model presumptions. In this paper, we propose a Bootstrap kernel-diffeomorphism filter (BKDF) to reduce speckle noise in satellite images. We evaluated the performance of the BKDF by comparing it with the EKF according to the numeric values based on the image signal to noise ratio (ISNR) and peak signal to noise ratio (PSNR). Our results declare that BKDF has more efficiency than the EKF in the satellite image restoration.
卫星图像在安防、农业等领域具有重要的应用价值。与其他图像一样,由于在捕获和/或传输过程中发生的噪声影响,卫星图像可能会降级。这些效果会导致改变的噪声样式,如斑点噪声,高斯噪声和其他。图像恢复过程的主要目的是消除图像中存在的噪声。研究人员使用线性和非线性滤波器来恢复图像。一般采用卡尔曼线性滤波器。非线性滤波器如扩展卡尔曼滤波器(EKF)也被使用。自举法是一种基于贝叶斯状态估计和蒙特卡罗方法的方法,它不受线性模型假设的线性性约束,是一种鲁棒方法。本文提出了一种Bootstrap kernel-diffeomorphism filter (BKDF)来降低卫星图像中的散斑噪声。根据图像信噪比(ISNR)和峰值信噪比(PSNR)的数值,将BKDF与EKF进行比较,评价其性能。结果表明,BKDF在卫星图像恢复中比EKF具有更高的效率。
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引用次数: 6
Adaptive edge detection algorithm for multi-focus application 多焦点应用的自适应边缘检测算法
Pub Date : 2018-05-11 DOI: 10.1109/ISCE.2018.8408909
Trong-An Bui, Pei-Jun Lee
This paper proposes a method of solving the problem of multi-focus through edge detection based on adaptive thresholding. Under conditions such as different light or different regions, the methods of solving the problem of multi-focus based on conventional edge detection methods will not work well because they are based on a global value of thresholding. In this paper, we will focus on processing and be applying the adaptive threshold method in determining the regions in the multi-focus problem. We will combine the clustering method as k-mean in an image to combine with the area defined by edge detection through adaptive thresholding to define the best result. The Fusion algorithm is applied to handle focused regions defined by the above method. The results and deployment environment we apply to mobile devices.
提出了一种基于自适应阈值的边缘检测方法来解决多焦点问题。在不同光线或不同区域等条件下,基于传统边缘检测方法的多聚焦问题的解决方法由于是基于阈值的全局值而不能很好地发挥作用。在本文中,我们将重点讨论处理和应用自适应阈值法来确定多焦点问题中的区域。我们将聚类方法结合为图像中的k-mean,通过自适应阈值分割与边缘检测定义的区域相结合,定义最佳结果。采用融合算法对上述方法定义的聚焦区域进行处理。我们应用于移动设备的结果和部署环境。
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引用次数: 2
Optimal operation modes of low cost RF power diode detector on multi-tone signals 低成本射频功率二极管检测器对多音信号的最佳工作模式
Pub Date : 2018-05-11 DOI: 10.1109/ISCE.2018.8408917
S. Ivanov, A. Lavrov
The results of theoretical and experimental researches on optimizing the RF diode power detector parameters to achieve the maximum dynamic range of quadratic detection of two-tone microwave signals in a wide frequency band are presented. The detector is based on low-barrier Schottky diode with zero bias. Optimum values of the detector load resistance, the diode saturation current, and corresponding to the specified regime the detector dynamic range are determined.
给出了优化射频二极管功率检测器参数以实现宽频段双音微波信号二次检测的最大动态范围的理论和实验研究结果。该探测器基于零偏置低势垒肖特基二极管。确定了探测器负载电阻、二极管饱和电流的最优值,以及对应于指定工况的探测器动态范围。
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引用次数: 3
ElderSense, an IoT system for the elderly living independently ElderSense,一个为独立生活的老年人设计的物联网系统
Pub Date : 2018-05-01 DOI: 10.1109/ISCE.2018.8408920
Zhong Han Kong, C. Yeo
This paper describes the implementation of an inexpensive ‘do-it-yourself (DIY)’ smart home system which allows for an unobtrusive and non-invasive monitoring system of the elderly's well-being in their own home using motion sensors. The system gathers the data from the sensors to learn and understand the behaviors of elderlies throughout the day. The activities will be presented to family members in a user-friendly manner via Android apps so that they can make better informed decisions with regards to ensuring the elderlies' safety and well-being. Alerts will be sent to both the elderly's mobile as well as that of family member when the system detects anomalies. The implementation involves the use of Passive Infrared (PIR) Sensors, connected to a Raspberry Pi (RPi 3). Data is stored at a backend for processing. The elderly's activities and alerts displayed or sent to a mobile application developed for this purpose.
本文介绍了一种廉价的“自己动手(DIY)”智能家居系统的实现,该系统允许使用运动传感器对老年人在自己家中的健康状况进行不显眼和非侵入性的监测系统。该系统从传感器收集数据,以学习和了解老年人全天的行为。这些活动将通过安卓应用程序以用户友好的方式呈现给家庭成员,以便他们能够在确保老年人安全和福祉方面做出更明智的决定。当系统检测到异常情况时,警报将发送到老人和家人的手机上。该实现涉及使用被动红外(PIR)传感器,连接到树莓派(RPi 3)。数据存储在后端进行处理。老年人的活动和警报显示或发送到为此目的开发的移动应用程序。
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引用次数: 4
Application of computer vision algorithms in the problem of coupling of the locomotive with railcars 计算机视觉算法在机车与轨道车辆耦合问题中的应用
Pub Date : 2018-05-01 DOI: 10.1109/ISCE.2018.8408904
N. Gavrilova, I. A. Dailid, S. Molodyakov, E. Boltenkova, I. N. Korolev, P. Popov
Problem of determining the distance between locomotive and railcar from a video image is considered. The camera is located on an unmanned locomotive. Several algorithms of computer vision have been analyzed and tested. The search for a track to the railcar or safe distance detection methods were developed using Canny edge detector and Hough transformation. The difficulty in applying the algorithm for track detection is found, determined by the presence of turns and railway switches. A scheme for computing the Inverse Perspective Mapping of an image is considered. Neural network algorithms and Haar cascades are used to search for images of railcars. A conclusion is made about the need to apply hybrid algorithms to this problem.
研究了从视频图像中确定机车与轨道车辆之间距离的问题。摄像机安装在无人驾驶的火车头上。对几种计算机视觉算法进行了分析和测试。利用Canny边缘检测器和Hough变换,提出了寻找轨道到有轨车或安全距离的检测方法。发现了该算法在轨道检测中应用的困难,这是由弯道和铁路道岔的存在决定的。提出了一种计算图像反透视映射的方法。利用神经网络算法和哈尔级联对轨道车辆图像进行搜索。最后提出了采用混合算法解决该问题的必要性。
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引用次数: 4
End-to-end performance metrics analysis in IMS networks with different message types 具有不同消息类型的IMS网络中的端到端性能指标分析
Pub Date : 2018-05-01 DOI: 10.1109/ISCE.2018.8408923
Nikolai Kulikov
A network built according to IMS architecture, consists of various nodes that consequentially process signaling messages transmitted during services providing. While IMS-network nodes process signaling messages, delays occur; this determines the quality of service. The duration of the delay has a probabilistic nature. In this paper, the author suggests an approximation of an IMS-node mathematical model that permits to evaluate characteristics of the network core. This research provides practical information about signaling traffic and sojourn time in a real IMS network, that could be used during current VoIP networks modernization and new networks design.
根据IMS体系结构构建的网络由各种节点组成,这些节点必然处理服务提供期间传输的信令消息。当ims网络节点处理信令消息时,会发生延迟;这决定了服务的质量。延迟的持续时间具有概率性质。在本文中,作者提出了一个近似ims节点数学模型,允许评估网络核心的特性。本研究提供了真实IMS网络中信令流量和停留时间的实用信息,可用于当前VoIP网络现代化和新网络设计。
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引用次数: 1
Distributions of probability of power values for random sequences of optimal FTN signals 最优FTN信号随机序列的功率值概率分布
Pub Date : 2018-05-01 DOI: 10.1109/ISCE.2018.8408919
S. Makarov, A. Ovsyannikova, I. Lavrenyuk, S. Zavjalov, S. Volvenko
The approach to the selection of the amplitude limitation mode for decreasing the peak-to-average power ratio (PAPR) of the Faster-Than-Nyquist (FTN) signals is presented. This approach is based on the analysis of statistical characteristics of random sequences of optimal FTN signals, which allow to realize a larger symbol rate without loss of biterror rate (BER) performance. It is shown that the distribution of the amplitudes of random sequences of optimal FTN signals approximate the normal type at symbol rates above the Nyquist limit by approximately 10 times.
提出了降低超奈奎斯特(FTN)信号峰均功率比(PAPR)的限幅模式选择方法。该方法是在分析最优FTN信号随机序列统计特性的基础上,在不损失误码率(BER)性能的前提下实现更大的码率。结果表明,最优FTN信号随机序列的幅值分布在奈奎斯特极限以上的符号速率下近似于正常类型约10倍。
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引用次数: 10
Heals of inhabitants is the base of the concept for the future intelligent hause 居民的康复是未来智能住宅概念的基础
Pub Date : 2018-05-01 DOI: 10.1109/ISCE.2018.8408912
M. B. Ignatiev
The concept of the modern intelligent home includes many services. It is appears that the most important function shall be the health carry of home inhabitants, people and pets. It is important to monitor the state of each particular inhabitant and invoke a relevant action up to calling the emergency. The paper suggests using the linguo-combinatorical models of the family and its members to automated taking medical related solutions.
现代智能家居的概念包括许多服务。看来,最重要的功能应该是家庭居民、人和宠物的健康载体。重要的是要监测每个特定居民的状态,并在紧急情况下采取相关行动。本文建议使用家庭及其成员的语言组合模型来实现医疗相关的自动化解决方案。
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引用次数: 0
Online binary visualization for Pdf documents Pdf文档的在线二进制可视化
Pub Date : 2018-05-01 DOI: 10.1109/ISCE.2018.8408906
Soon Heng Tan Mavric, C. Yeo
In this paper, we develop a visualization tool which will facilitate malware reverse engineering to understand characteristics of Portable Document Format (PDF) malware. This tool is useful as it is an online tool which renders it fully accessible regardless of user devices (eg. desktops, tablets, smartphones, etc.). Malware authors typically embed malicious codes into PDF documents which execute JavaScript exploiting a vulnerability within the Adobe Reader JavaScript parser. This then can allow shellcode to be placed into the memory of a computer to run arbitrary codes. By translating PDF binary information into higher level diagrams and images, potential visual signs which differentiate between malicious and legitimate PDF documents can be observed. The proposed online binary visualization tool maps bytes in a file to pixels of assorted colors that somewhat resemble a 2D pixelated heat map. By mapping different schemes of assorted colors, we can identify JavaScript and shellcodes in a PDF document which can then raise a red flag for the human analyst.
在本文中,我们开发了一个可视化工具,该工具将有助于恶意软件逆向工程了解便携式文档格式(PDF)恶意软件的特征。这个工具是有用的,因为它是一个在线工具,使它完全可以访问,无论用户设备(如。台式机、平板电脑、智能手机等)。恶意软件作者通常将恶意代码嵌入PDF文档中,这些文档利用adobereader JavaScript解析器中的漏洞执行JavaScript。这样就可以将shellcode放入计算机的内存中以运行任意代码。通过将PDF二进制信息转换为更高级的图表和图像,可以观察到区分恶意和合法PDF文档的潜在视觉标志。建议的在线二进制可视化工具将文件中的字节映射为各种颜色的像素,有点类似于2D像素化热图。通过映射各种颜色的不同方案,我们可以识别PDF文档中的JavaScript和shellcode,然后为人类分析师发出危险信号。
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引用次数: 3
Embedded systems software: Trends in industry and education 嵌入式系统软件:工业和教育的趋势
Pub Date : 2018-05-01 DOI: 10.1109/ISCE.2018.8408921
B. Medvedev, S. Molodyakov, S. M. Ustinov, S. Fyodorov
Specialists in embedded systems software are leading force of almost every consumer electronics project. Universities all over the world offer different teaching programs of embedded software engineering to satisfy huge demand in software developers. The article presents the model of a specialist in embedded systems, university graduates competence requirements, a set of disciplines and teaching methods. New “Software Engineering” curriculum project is proposed (“Embedded Software” profile), which is based on achievements of the world leading universities, ACM Curricula Recommendations and analysis of embedded systems market surveys.
嵌入式系统软件专家是几乎所有消费电子项目的主导力量。世界各地的大学都提供不同的嵌入式软件工程教学方案,以满足对软件开发人员的巨大需求。本文介绍了嵌入式系统专家的培养模式、大学毕业生的能力要求、一套学科体系和教学方法。根据世界一流大学的成果、ACM课程推荐和嵌入式系统市场调查分析,提出新的“软件工程”课程项目(“嵌入式软件”简介)。
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引用次数: 3
期刊
2018 International Symposium on Consumer Technologies (ISCT)
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