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Prognostic Analysis of Polypoidal Choroidal Vasculopathy Using an Image-Based Approach 基于图像的方法对息肉样脉络膜血管病变的预后分析
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0088
Yong-ming Chen, Wei-Yang Lin, Chia-Ling Tsai
In this paper, we rstly propose to perform prognostic analysis of polypoidal choroidal vasculopathy (PCV) using indocyanine green angiography (ICGA) sequence. Our goal is to develop a computer-aided diagnostic system which can predict the likely treatment outcome of patients with PCV based on their before-treatment ICGA sequences. In order to create a prognostic model for PCV, we utilize both the before-treatment and the aftertreatment ICGA sequences collected in the EVEREST study. By comparing the before-treatment and the after-treatment PCV region in ICGA sequences, we can generate positive and negative samples for training our prognostic model. Here, we design an 8-layer convolution neural network (CNN) and use it to serve as the prognostic model. We have conducted experiments using 17 patients cases. In particular, we perform leave-one-out cross validation so that each patient can be utilized as testing case once. Our proposed method achieves promising results on the EVEREST dataset.
在本文中,我们首先建议使用吲哚菁绿血管造影(ICGA)序列对息肉样脉络膜血管病变(PCV)进行预后分析。我们的目标是开发一种计算机辅助诊断系统,该系统可以根据治疗前的ICGA序列预测PCV患者可能的治疗结果。为了建立PCV的预后模型,我们利用了EVEREST研究中收集的治疗前和治疗后的ICGA序列。通过比较ICGA序列中治疗前和治疗后的PCV区域,我们可以生成阳性和阴性样本来训练我们的预后模型。在这里,我们设计了一个8层卷积神经网络(CNN),并使用它作为预测模型。我们对17例患者进行了实验。特别是,我们执行留一交叉验证,以便每个患者都可以作为一次测试病例。我们提出的方法在EVEREST数据集上取得了令人满意的结果。
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引用次数: 0
Indoor Post-Earthquake Corridor Obstacle Assessment System 室内震后廊道障碍评价系统
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0084
Hankui Zhang, E. Chu, Shih-Yu Chen
Due to the need of indoor emergency rescue for earthquake disasters, we propose the iPOST (Indoor Post-Earthquake Corridor Obstacle Assessment System) to determine the obstacles in the corridors after earthquakes. Before an earthquake hits, a pre-earthquake image is used to segment its corresponding floor area for determining the presence of obstacles. After an earthquake, the pre-earthquake and post-earthquake images are compared by using the interimage foreground technique for assessing the obstacles in the corridors. To verify the effectiveness of the iPOST, we collected over 40 pairs of images captured by corridor surveillance cameras from YouTube and Google, which included corridor scenarios with and without the presence of obstacles. The experiment results show that the iPOST's accuracy in obstacle assessment reaches 84%.
针对室内地震灾害应急救援的需要,我们提出了iPOST(室内震后廊道障碍评估系统)来确定震后廊道中的障碍物。在地震发生之前,地震前的图像被用来分割其相应的地板面积,以确定障碍物的存在。在地震发生后,利用图像间前景技术对地震前和地震后的图像进行对比,对走廊中的障碍物进行评估。为了验证iPOST的有效性,我们从YouTube和谷歌上收集了40多对走廊监控摄像头拍摄的图像,其中包括有和没有障碍物的走廊场景。实验结果表明,iPOST在障碍物评估中的准确率达到84%。
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引用次数: 2
A Note on the 2-Tuple Total Domination Problem in Harary Graphs 关于Harary图中2-元组全支配问题的一个注记
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0022
Si-Han Yang, Hung-Lung Wang
Let G be a graph with minimum degree at least 2. A vertex subset S is a 2-tuple total dominating set of G if every vertex is adjacent to at least two vertices in S. The 2-tuple total domination number of G is the minimum size of a 2-tuple total dominating set. In this paper, we are concerned with the 2-tuple total domination number of a Harary graph H2m+1, 2n+1 with 2n+1 = (2m+1)l. For m = 1 and m = 2, we show that the numbers are 2l and 2l+1, respectively.
设G是最小度至少为2的图。如果每个顶点都与S中的至少两个顶点相邻,则顶点子集S是G的2元组总支配集。G的2元组总支配数是2元组总支配集的最小大小。本文研究了一类H2m+ 1,2n +1图(2n+1 = (2m+1)l)的2元组总支配数。对于m = 1和m = 2,我们分别表示数字为2l和2l+1。
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引用次数: 3
An Image Registration Method for Engineering Images 一种工程图像配准方法
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0092
Jing-Dai Jiang, Guo-Shiang Lin
In this paper, we proposed an image registration method for digitized cadastral images in Taiwan. The proposed method is composed of three parts: feature selection, RANSAC-based transform parameter estimation, and image stitching. In the feature selection, Harris Corner Detection is first used to extract corners as feature points for each engineering image and then some feature points are selected manually. To reduce the impact of wrong matched pairs on transform parameter estimation, the RANSAC-based transform parameter estimation is developed. After removing the wrong feature point pairs, the least squares error estimation method is used to estimate transform parameters. The image stitching between source image and reference image can be performed based on the estimated transform parameters. Experimental results show that the proposed method can not only effectively select suitable feature point pairs for parameter estimation but also stitch source image and reference image well.
本文提出一种台湾数位地籍影像配准方法。该方法由特征选择、基于ransac的变换参数估计和图像拼接三个部分组成。在特征选择中,首先利用Harris角点检测对每幅工程图像提取角点作为特征点,然后人工选择部分特征点。为了减少错误匹配对对变换参数估计的影响,提出了基于ransac的变换参数估计方法。在去除错误的特征点对后,采用最小二乘误差估计方法估计变换参数。根据估计的变换参数对源图像和参考图像进行拼接。实验结果表明,该方法不仅可以有效地选择合适的特征点对进行参数估计,而且可以很好地拼接源图像和参考图像。
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引用次数: 1
GMiner: Rule-Based Fuzzy Clustering for Google Drive Behavioral Type Mining 基于规则的模糊聚类谷歌驱动行为类型挖掘
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0028
Chih-Hung Hsieh, Cheng-Hao Yan, Ching-Hao Mao, Chi-Ping Lai, Jenq-Shiou Leu
Due to more and more on-premises services are migrating onto cloud, user behavioral analysis then gets popular as a data-driven way to administer lots accounts of on-cloud services. This paper proposes a novel rule-based approach, GMiner, for mining different types of Google cloud drive usages as an unsupervised account-management approach. Experiment results show that GMiner provides accurate, inter-pretable, and visualized clustering results which are helpful for highlighting inactive, quasi-insider accounts, or other potential cyber-security risks from real-environment dataset.
由于越来越多的本地服务迁移到云上,用户行为分析作为一种数据驱动的方式开始流行起来,用于管理云上服务的大量帐户。本文提出了一种新的基于规则的方法GMiner,用于挖掘不同类型的Google云驱动器使用,作为一种无监督的帐户管理方法。实验结果表明,GMiner提供了准确、可解释和可视化的聚类结果,有助于从真实环境数据集中突出不活跃、准内幕账户或其他潜在的网络安全风险。
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引用次数: 4
The Crossing Number of Join Product of kth Power of Path Pm with Isolated Vertices and Path Pn 具有孤立顶点的路径Pm的k次幂与路径Pn的连接积的交叉数
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0021
S. Hsieh, Cheng-Chian Lin
A graph G is said to have a crossing if two edges of G share an interior point. The minimum crossing number of G is denoted by cr(G). The crossing number problem is to find the minimum crossing solution of a graph, and it can be used in applications of circuit layout. Although the crossing numbers of join product graphs have been extensively studied, the crossing number of join product of power graphs with path is relatively unexplored. Let Pm and Pn be paths with m and n vertices, and Dn be a graph consisting of n isolated vertices. In this paper, we investigate the crossing number of kth power of path Pm that joins with isolated vertices Dn and path Pn. We have proved the minimum crossing numbers of Pkm+Dn for m ≤ 6, n ≥ 1, and Pkm+Pn for m ≤ 6, n ≥ 2.
如果图G的两条边共用一个内点,则称图G有相交。G的最小交叉数用cr(G)表示。交叉数问题是求图的最小交叉解,可用于电路布局的应用。虽然人们对连接积图的交叉数进行了广泛的研究,但对于带路径的幂图的连接积的交叉数研究相对较少。设Pm和Pn分别是有m和n个顶点的路径,Dn是由n个孤立顶点组成的图。本文研究了路径Pm与孤立顶点Dn和路径Pn相连接的k次交叉数。我们证明了当m≤6,n≥1时Pkm+Dn的最小交叉数,以及当m≤6,n≥2时Pkm+Pn的最小交叉数。
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引用次数: 1
Constraint-Based Test Case Generation for White-Box Method-Level Unit Testing 白盒方法级单元测试中基于约束的测试用例生成
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0123
Chen-Huei Chang, Nai-Wei Lin
This paper introduces a unified constraint-based test case generator for white-box method-level unit testing. The derivation of a suite of test cases can be defined as a constraint satisfaction problem. Each test case consists of a test input and an expected output. The program is automatically transformed into a constraint model called constraint logic graph. The constraint logic graph is a succinct graphical representation of the system of constraints that defines the relationships between the test inputs and actual outputs. The suite of test inputs can be solved from the conjunction of constraints on each complete path of the constraint logic graph by a constraint logic programming language. The specification of a method is defined by the Object Constraint Language. This non-executable specification is automatically transformed into an executable specification defined by a constraint logic programming language. This executable specification serves as the test oracle to automatically generate the corresponding expected output for a given test input.
本文介绍了一种用于白盒方法级单元测试的统一的基于约束的测试用例生成器。一组测试用例的派生可以定义为约束满足问题。每个测试用例由一个测试输入和一个预期输出组成。程序自动转换为约束模型,称为约束逻辑图。约束逻辑图是约束系统的简洁图形表示,它定义了测试输入和实际输出之间的关系。通过约束逻辑编程语言将约束逻辑图的每条完整路径上的约束合在一起求解测试输入集。方法的规范由对象约束语言定义。这个不可执行的规范被自动转换成由约束逻辑编程语言定义的可执行规范。这个可执行的规范作为测试oracle,为给定的测试输入自动生成相应的预期输出。
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引用次数: 2
CARSB Portal: A Web-Based Software Tool to Composing Service Bricks and RESTful Services as Mobile Apps CARSB门户:一个基于web的软件工具,将服务块和RESTful服务组合为移动应用程序
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0119
Shang-Pin Ma, Peng-Zhong Chen, Y. Ma, Jheng-Shiun Jiang
The retrieval and the composition of information from multiple apps, services, or local resources can be time-consuming, costly, and inconvenient. To build an effective, efficient, and easy-to-use mobile service composition and delivery approach, in this research, we propose an approach called CARSB (Composite App with RESTful Services and Bricks). In CARSB, we introduce the concept of Service Brick, which is a rectangular UI component used for the display of specific information, devise a mobile service composition framework, which can integrate Service Bricks with backend RESTful services, and provide a web-based software tool, called CARSB Portal, to allow ordinary users to build their customized composite mobile applications according to their requirements. Notably, the CARSB Portal can facilitate the construction, discovery, composition, preview, and delivery of Service Bricks, i.e., CARSB Portal supports all activities for the lifecycle of Service Brick. Besides, in this research, quantitative experiments were conducted to verify the proposed CARSB approach, experiment results demonstrate that the proposed CARSB approach is able to achieve a considerable decrease in operation time and network transmission load.
从多个应用程序、服务或本地资源中检索和组合信息可能非常耗时、昂贵且不方便。为了构建一种有效、高效且易于使用的移动服务组合和交付方法,在本研究中,我们提出了一种称为CARSB (RESTful Services and Bricks的复合应用程序)的方法。在CARSB中,我们引入了Service Brick(用于显示特定信息的矩形UI组件)的概念,设计了一个移动服务组合框架,将Service Brick与后端rest式服务集成在一起,并提供了一个基于web的软件工具CARSB Portal,允许普通用户根据自己的需求构建定制化的复合移动应用。值得注意的是,CARSB门户可以促进服务块的构造、发现、组合、预览和交付,也就是说,CARSB门户支持服务块生命周期的所有活动。此外,本研究还进行了定量实验对所提出的CARSB方法进行了验证,实验结果表明,所提出的CARSB方法能够显著减少运行时间和网络传输负荷。
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引用次数: 2
Abnormal Driving Behavior Detection Using Sparse Representation 基于稀疏表示的异常驾驶行为检测
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0085
Chien-Yu Chiou, P. Chung, Chun-Rong Huang, M. Chang
To reduce the chance of traffic crashes, many driver monitoring systems (DMSs) have been developed. A DMS warns the driver under abnormal driving conditions. However, traditional approaches require enumerating abnormal driving conditions. In this paper, we propose a novel DMS, which models the driver's normal driving statuses based on sparse reconstruction. The proposed DMS compares the driver's statuses with his/her personal normal driving status model and identifies abnormal driving statuses that greatly change the driver's appearances. The experimental results show good performance of the proposed DMS to detect variant abnormal driver conditions.
为了减少交通事故的发生,人们开发了许多驾驶员监控系统(dms)。在不正常的驾驶情况下,DMS会向驾驶员发出警告。然而,传统的方法需要列举异常驾驶条件。本文提出了一种基于稀疏重构的驾驶员正常驾驶状态模型。本文提出的DMS将驾驶员的驾驶状态与其个人的正常驾驶状态模型进行比较,识别出对驾驶员外表有较大改变的异常驾驶状态。实验结果表明,所提出的DMS能够很好地检测各种异常驾驶状态。
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引用次数: 3
A Time-Position Join Method for Periodicity Mining in Time Series Databases 时间序列数据库周期挖掘的时间-位置连接方法
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0066
Chia-En Li, Ye-In Chang
Periodicity mining is used for predicting trends intime series data. There are many applications data includingtemperature, stock prices depicted in the financial market, gene expression data analysis, etc. In general, there are threetypes of periodic patterns which can be detected in the timeseries data: (1) symbol periodicity, (2) sequence periodicityor partial periodic patterns, and (3) segment or full-cycleperiodicity. Rasheed et al. have proposed a two-phasesapproach to periodicity mining. In the first phase, they usethe suffix tree to produce candidate period patterns of allthree types of periodicity in a single run. However, we findthat those suffix-tree-related data structures are stillinefficient in generating candidates of period patterns. Therefore, in this paper, we use the following method forperiodicity mining in time series databases. On the design ofPhase 1 for generation of candidate patterns, we present ourtime-position join method. From the simulation results, weshow that our method is more efficient than their algorithm.
周期挖掘用于预测时间序列数据的趋势。有许多应用数据,包括温度,金融市场中描述的股票价格,基因表达数据分析等。一般来说,可以在时间序列数据中检测到三种类型的周期模式:(1)符号周期性,(2)序列周期性或部分周期性模式,(3)段或全周期周期性。Rasheed等人提出了一种周期性挖掘的两阶段方法。在第一阶段,他们使用后缀树在一次运行中生成所有三种周期性类型的候选周期模式。然而,我们发现这些后缀树相关的数据结构在生成候选周期模式时仍然是有效的。因此,本文采用以下方法对时间序列数据库进行周期性挖掘。在第一阶段候选模式生成的设计上,我们提出了时间-位置连接方法。仿真结果表明,我们的方法比他们的算法更有效。
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引用次数: 2
期刊
2016 International Computer Symposium (ICS)
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