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Image Segmentation Techniques Overview 图像分割技术概述
Pub Date : 2017-12-01 DOI: 10.1109/AMS.2017.24
Yuheng Song, Haoyang Yan
The technology of image segmentation is widely used in medical image processing, face recognition pedestrian detection, etc. The current image segmentation techniques include region-based segmentation, edge detection segmentation, segmentation based on clustering, segmentation based on weakly-supervised learning in CNN, etc. This paper analyzes and summarizes these algorithms of image segmentation, and compares the advantages and disadvantages of different algorithms. Finally, we make a prediction of the development trend of image segmentation with the combination of these algorithms.
图像分割技术广泛应用于医学图像处理、人脸识别、行人检测等领域。目前的图像分割技术有基于区域的分割、边缘检测分割、基于聚类的分割、CNN中基于弱监督学习的分割等。本文对这些图像分割算法进行了分析和总结,并比较了不同算法的优缺点。最后,对这些算法结合的图像分割发展趋势进行了预测。
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引用次数: 5
Convolutive Blind Source Separation Using Fourier Kalman Filtering 基于傅立叶卡尔曼滤波的卷积盲源分离
Pub Date : 2017-12-01 DOI: 10.1109/AMS.2017.27
Sabita Langkam, A. K. Deb
In this paper a frequency domain approach isproposed for convolutive blind source separation (CBSS) ofsignals. The convolutive mixing model when reformulated asa stochastic state-space model and defined in the frequencydomain comes with unknown states and parameters. Thesolution to the problem calls for a dual estimation approachto be applied to recover the original signals. The dualestimation method employed in this paper uses state-spacefrequency domain Kalman filter running a pair of state andparameter filters simultaneously to estimate unknownparameters and states. The performance of the proposedmethod is shown by simulation results and comparisons havebeen made with previous methods.
提出了一种用于信号卷积盲源分离(CBSS)的频域方法。将卷积混合模型重新表述为随机状态空间模型并在频域中定义时,其状态和参数都是未知的。该问题的解决需要采用对偶估计方法来恢复原始信号。本文采用的对偶估计方法是使用状态-空间-频域卡尔曼滤波器同时运行一对状态和参数滤波器来估计未知参数和状态。仿真结果表明了该方法的有效性,并与已有方法进行了比较。
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引用次数: 0
“SenseA”-Autism Early Signs and Pre-Aggressive Detector through Image Processing “SenseA”-通过图像处理的自闭症早期迹象和前攻击检测器
Pub Date : 2017-12-01 DOI: 10.1109/AMS.2017.28
Chanuki Gamaethige, Umaya Gunathilake, Dhimanshi Jayasena, Hansani Manike, Pradeepa Samarasinghe, Thilini Yatanwala
This paper presents an efficient solution for the current problem of identifying early signs of autism and detecting pre aggressive behaviours using videos which can be used to produce a more convenient environment for autistic children and their caregivers. Early detection of autism spectrum disorder and its consequences play major role in intervention. Yet it often remains unrecognized and diagnosed in non-clinical environments because of unawareness and the lack of screening tools specific to the autism. At times, autistic children express their feelings through aggressive behaviour towards themselves or other children due to number of reasons such as failing to understand their own feelings, misunderstanding and severe distress. While an autistic child engages in physical aggression, an immediate response is required because the sibling or peer will likely react to the child's aggressive behaviour. There's no systematic approach to identify the pre-aggressive behaviour of autistic children in software engineering perspective. The proposed Autism Spectrum Disorder (ASD) early signs and pre-aggressive detection system is a software which provides automated solution to aforementioned problems using computer vision and machine learning libraries. It provides a level detection on early signs of autism by analyzing facial features and behaviour patterns in non-clinical perspective. Finally it detects the pre aggressive behaviours of autistic children and alerts the relevant authorized individual using a mobile notification.
本文提出了一个有效的解决方案,用于识别自闭症的早期迹象和检测前攻击行为的视频,可以用来为自闭症儿童和他们的照顾者创造一个更方便的环境。早期发现自闭症谱系障碍及其后果在干预中起着重要作用。然而,在非临床环境中,由于缺乏对自闭症的认识和筛查工具,它往往无法被识别和诊断出来。有时,自闭症儿童通过对自己或其他孩子的攻击性行为来表达自己的感受,原因有很多,比如不理解自己的感受、误解和严重的痛苦。当自闭症儿童进行身体攻击时,需要立即做出反应,因为兄弟姐妹或同伴可能会对孩子的攻击行为做出反应。从软件工程的角度来看,没有系统的方法来识别自闭症儿童的前攻击行为。提出的自闭症谱系障碍(ASD)早期症状和攻击前检测系统是一种利用计算机视觉和机器学习库自动解决上述问题的软件。它通过分析非临床角度的面部特征和行为模式,提供了对自闭症早期症状的水平检测。最后,它检测自闭症儿童的前攻击行为,并使用移动通知提醒相关的授权个人。
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引用次数: 1
Fast and Efficient Birdcage Coil Design Process for High Field MRI System by Combining Equivalent Circuit Model and 3D Electromagnetic Simulation 结合等效电路模型和三维电磁仿真的高场磁共振成像系统快速高效鸟笼线圈设计过程
Pub Date : 2017-12-01 DOI: 10.1109/AMS.2017.37
Sheikh Faisal Ahmad, Young Cheol Kim, I. Choi, Sung-Su Choi, Tae-Gu Kim, C. Ahn, Hyun Deok Kim
A novel method has been established to mitigate the complexity of a birdcage coil design process for use in a MRI (Magnetic Resonance Imaging) system. It can reduce the time consumptions of the typical coil design process based on 3D (three-dimensional) simulations. The method combines an equivalent circuit model and a 3D electromagnetic simulation. It makes it possible to understand the coil properties intuitively and to solve the major engineering problems by using just the circuit model not by using the complex 3D simulation. The concept of the dominant resonance path length of the coil has also been introduced, which facilitates the design process by considering the skin effect of the coil. We have verified that the skin effect of the birdcage coil can be evaluated through a simple circular loop circuit instead of the whole 3D geometry. Base on the design proposed method, we also have successfully demonstrated that the birdcage coil based on a FPCB (Flexible Printed Circuit board) technique can be used in high filed (3.0 T and 4.7 T) MRI systems for small animal NMR (Nuclear Magnetic Resonance) imaging.
建立了一种新的方法来减轻用于MRI(磁共振成像)系统的鸟笼线圈设计过程的复杂性。它可以减少基于3D(三维)模拟的典型线圈设计过程的时间消耗。该方法将等效电路模型和三维电磁仿真相结合。它可以直观地了解线圈的特性,并通过使用电路模型而不是复杂的三维仿真来解决重大的工程问题。线圈的主导共振路径长度的概念也被引入,这有利于通过考虑线圈的集肤效应的设计过程。我们已经验证了鸟笼线圈的蒙皮效应可以通过一个简单的环形电路来评估,而不是整个三维几何形状。基于所提出的设计方法,我们还成功地证明了基于FPCB(柔性印刷电路板)技术的鸟笼线圈可以用于高场强(3.0 T和4.7 T)的核磁共振成像系统,用于小动物核磁共振成像。
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引用次数: 2
Autonomous Rover Navigation Using GPS Based Path Planning 基于GPS路径规划的自主漫游车导航
Pub Date : 2017-12-01 DOI: 10.1109/AMS.2017.22
Abul Al Arabi, Hasib Ul Sakib, Pranabesh Sarkar, T. Proma, Jahedul Anowar, M. A. Amin
Nowadays, with the constant evolution of Artificial Intelligence and Machine Learning, robots are getting more perceptive than ever. For this quality they are being used in varying circumstances which humans cannot control. Rovers are special robots, capable of traversing through areas that are too difficult for humans. Even though it is a robust bot, lack of proper intelligence and automation are its basic shortcomings. As the main purpose of a rover is to traverse through areas of extreme difficulties, therefore an intelligent path generation and following system is highly required. Our research work aimed at developing an algorithm for autonomous path generation using GPS (Global Positioning System) based coordinate system and implementation of this algorithm in real life terrain, which in our case is MDRS, Utah, USA. Our prime focus was the development of a robust but easy to implement system. After developing such system, we have been able to successfully traverse our rover through that difficult terrain. It uses GPS coordinates of target points that will be fed into the rover from a control station. The rover capturing its own GPS signal generates a path between the current location and the destination location on its own. It then finds the deviation in its current course of direction and position. And eventually it uses Proportional Integral Derivative control loop feedback mechanism (PID control algorithm) for compensating the error or deviation and thus following that path and reach destination. A low cost on board computer (Raspberry Pi in our case) handles all the calculations during the process and drives the rover fulfilling its task using an microcontroller (Arduino).
如今,随着人工智能和机器学习的不断发展,机器人的感知能力越来越强。由于这种特性,它们被用于人类无法控制的各种环境中。漫游者是一种特殊的机器人,能够穿越人类难以穿越的区域。尽管它是一个健壮的机器人,但缺乏适当的智能和自动化是它的基本缺点。由于漫游车的主要目的是穿越极端困难的区域,因此高度需要智能路径生成和跟踪系统。我们的研究工作旨在开发一种基于GPS(全球定位系统)坐标系统的自主路径生成算法,并在现实生活地形中实现该算法,在我们的案例中是美国犹他州的MDRS。我们的主要关注点是开发一个健壮但易于实现的系统。在开发了这样的系统之后,我们已经能够成功地让我们的漫游者穿越那些困难的地形。它使用目标点的GPS坐标,这些坐标将从一个控制站输入漫游车。探测车捕获自己的GPS信号,自动生成当前位置和目标位置之间的路径。然后,它找出当前方向和位置的偏离。最后利用比例积分导数控制回路反馈机制(PID控制算法)补偿误差或偏差,从而沿着该路径到达目的地。低成本的机载计算机(在我们的情况下是树莓派)处理过程中的所有计算,并使用微控制器(Arduino)驱动漫游者完成其任务。
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引用次数: 5
Non-Internet Synchronization for Distributed Storages 分布式存储非internet同步
Pub Date : 2017-12-01 DOI: 10.1109/AMS.2017.13
A. Wickramarachchi, Dulaj Atapattu, Pamoda Wimalasiri, Ravidu Mallawa Arachchi, G. Dias
Synchronization of files has become a major use case in the context of cloud storage. Yet the usage of Internet bandwidth and cost for additional usage of the cloud usage has become the major bottlenecks of such services. Non-Internet synchronization is the process of performing file synchronization just by using moving devices (nomadic device) to communicate the content for synchronization, i.e. without using Internet as the communication medium. This enables the synchronization to be performed at a very low cost and Internet bandwidth, yet with reasonably the same user experience. Furthermore, the use of Internet for synchronization of large media are often limited with lower upload speeds, which makes the entire process slower. The work presents the use of devices such as computers, mobile phones and other network attached IoT devices that move between synchronization storages to transfer synchronization data and synchronize the storages. The distributed storages run Linux kernel to perform synchronization algorithms, which will be discussed in the paper. The results demonstrated competitive performance with existing synchronization mechanisms given the user doesn't need real-time synchronization but nomadic access prevails. Non-Internet Synchronization (NIS) does the needful for synchronization storages with minimum cost while utilizing redundant storage that moves between storage location frequently.
文件同步已经成为云存储环境中的一个主要用例。然而,互联网带宽的使用和额外使用云服务的成本已成为此类服务的主要瓶颈。非Internet同步是指不使用Internet作为通信媒介,仅通过移动设备(游牧设备)来进行文件同步的过程。这使得同步能够以非常低的成本和互联网带宽执行,同时具有相当相同的用户体验。此外,使用互联网同步大型媒体通常受到上传速度较低的限制,这使得整个过程变慢。该作品展示了使用计算机、手机和其他联网物联网设备等设备在同步存储之间移动,以传输同步数据并同步存储。分布式存储运行Linux内核来执行同步算法,本文将对此进行讨论。结果表明,考虑到用户不需要实时同步,但游牧民访问盛行,现有同步机制具有竞争力的性能。非internet同步(NIS)以最小的成本实现了同步存储的需要,同时利用了在存储位置之间频繁移动的冗余存储。
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引用次数: 0
Performance of Frequency Estimation Techniques with Phase Noise in mm-Wave Based 5G Systems 基于毫米波的5G系统中含相位噪声的频率估计技术性能
Pub Date : 2017-12-01 DOI: 10.1109/AMS.2017.34
J. Qiu, S. Kandeepan
The explosion in the number of worldwide mobile users and the demand for increasing number of application with data hungry systems had led to the development of the 5G communications framework. To enable the 5G system, due to its high data rates, mmWave transmission is considered as a candidate technology. However, one of the key challenging problem in having mmWave transmission for 5G communication is the presence of high phase noise levels compared to the other lower range frequency bands. In this paper we consider frequency estimation for carrier synchronization and study the affect of phase noise in the estimation accuracy. We mainly consider three selected frequency estimation methods namely Quinn's Method, Maximum Likehood Estimation (MLE) and Kay's First Method, and present the mean squared estimation error performance in the presence of phase noise and signal fading conditions by means of simulation based studies.
全球移动用户数量的爆炸式增长以及对数据饥渴系统的应用程序数量不断增加的需求导致了5G通信框架的发展。为了实现5G系统,由于其高数据速率,毫米波传输被认为是候选技术。然而,在5G通信中使用毫米波传输的关键挑战之一是与其他较低范围频段相比,存在高相位噪声水平。本文考虑了载波同步的频率估计问题,并研究了相位噪声对估计精度的影响。我们主要考虑了三种选择的频率估计方法,即Quinn方法、最大似然估计(MLE)和Kay's First方法,并通过仿真研究给出了在相位噪声和信号衰落条件下的均方估计误差性能。
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引用次数: 3
Computer Simulation of an Arbitrary Acoustical Field in Rooms 室内任意声场的计算机模拟
Pub Date : 2017-12-01 DOI: 10.1109/AMS.2017.18
A. A. Chusov, L. Statsenko, P. Anisimov, Yulia V. Mirgoronskaya, Nina A. Cherkasova, M. Bernavskaya
The work provides an algorithmic model of sound propagation in rooms with respect to the principles of the object-oriented programming paradigm, i.e. in terms of classes, their instances and relations in order to model the behavior of acoustical fields developed to support various sets of input parameters specifying radiation and propagation of acoustical waves. The approach supports several forms of computational parallelism which allowed achieving scalable performance of the implementation in terms of both time consumptions and accuracy of the results as described in the paper.
这项工作根据面向对象编程范式的原则,提供了一个房间内声音传播的算法模型,即根据类,它们的实例和关系来模拟声场的行为,这些声场的行为是为了支持各种输入参数集,指定声波的辐射和传播。该方法支持多种形式的计算并行性,从而在时间消耗和结果准确性方面实现可扩展的实现性能,如本文所述。
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引用次数: 2
Feasibility of Using Rating to Predict Sentiment for Online Reviews 使用评级预测在线评论情绪的可行性
Pub Date : 2017-12-01 DOI: 10.1109/AMS.2017.14
A. Azman, Eissa Alshari, P. S. Sulaiman, M. T. Abdullah, M. Alksher, R. A. Kadir
More consumers depend on online recommendation for products before making purchase decision. Comments or ratings given by other online users are used as recommendation and help consumers to make informed decision. Giving rating is a more convenient way to express sentiment toward a product while comments provide details and allow for subjective judgment. This paper investigates the problem of using rating alone to infer the actual sentiment polarity of the raters towards a product. In particular, the experiment attempts to discover whether the lower ratings (1 or 2 in 5-point scale) are more associated to negative polarity while the higher ratings (4 or 5 in 5-point scale) are more associated to positive polarity as universally assumed. A lexical based sentiment analysis approach is used to determine sentiment polarity of each textual comment. The results showed that higher ratings could indicate positive sentiment but it is not the case for the lower ratings in representing negative sentiment.
在做出购买决定之前,更多的消费者依赖于网上的产品推荐。其他在线用户给出的评论或评分被用作推荐,帮助消费者做出明智的决定。评分是表达对产品情感的一种更方便的方式,而评论提供了细节并允许主观判断。本文研究了单独使用评级来推断评级者对产品的实际情绪极性的问题。特别是,实验试图发现较低的评级(5分制中的1或2)是否与负极性更多相关,而较高的评级(5分制中的4或5)是否与普遍认为的正极性更多相关。采用基于词法的情感分析方法确定文本评论的情感极性。结果显示,分数越高,表示的是积极情绪,但分数越低,表示的是消极情绪。
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引用次数: 1
Design and Implementation of Security Patrol Robot Using Android Application 基于Android应用的安全巡逻机器人的设计与实现
Pub Date : 2017-12-01 DOI: 10.1109/AMS.2017.20
Tahzib Mashrik, H. Zunair, Maofic Farhan Karin
Mobile robots are now widely used in various security and surveillance applications. The paper includes designing and developing a reconfigurable autonomous security robot which can be used in household or office purposes. The idea consists of four main parts: Multiple sensor array, communication system (Bluetooth and GSM), motion planning (autonomous patrolling) and software application for mobile interface.
移动机器人现在广泛应用于各种安防和监控应用。本文设计和开发了一种可重构的自主安全机器人,可用于家庭或办公室用途。该方案主要由四个部分组成:多传感器阵列、通信系统(蓝牙和GSM)、运动规划(自主巡逻)和移动接口软件应用。
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引用次数: 7
期刊
2017 Asia Modelling Symposium (AMS)
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