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2016 5th International Conference on Multimedia Computing and Systems (ICMCS)最新文献

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Test case generation for Java Bytecode programs annotated with BML specifications 用BML规范注释的Java字节码程序的测试用例生成
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905597
Safaa Achour, M. Benattou
The work presented in this paper extends an existing constraint model defined to automatically generate test inputs for java Bytecode programs. We propose to consider also BML specifications for generating valid test data. The main objective is to apply constraint based testing on java bytecode program annotated with BML for detecting the valid execution paths, to check the validity of the returned result, to reduce the domain of input data, and to perform coverage of the testing method under test.
本文提出的工作扩展了现有的约束模型,该模型被定义为自动生成java字节码程序的测试输入。我们建议也考虑生成有效测试数据的BML规范。主要目标是在带有BML注释的java字节码程序上应用基于约束的测试,以检测有效的执行路径,检查返回结果的有效性,减少输入数据的域,并对被测测试方法进行覆盖。
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引用次数: 3
Learning Design approaches for designing Learning environments: A comparative study 设计学习环境的学习设计方法:比较研究
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905666
Amal Battou, Omar Baz, D. Mammass
Learning Design approaches have provided new perspectives for the design and the implementation of learning environments. This paper focuses on the presentation and the comparison of the most used Learning Design approaches in the literature. Several Learning Design approaches are presented. This work seeks to make it easier for instructors that want to make the best choice when choosing an approach to design and authoring a learning environment by revealing which approach will meet their needs.
学习设计方法为学习环境的设计和实现提供了新的视角。本文着重于文献中最常用的学习设计方法的介绍和比较。介绍了几种学习设计方法。这项工作旨在通过揭示哪种方法能满足他们的需求,使想要在选择设计和创作学习环境的方法时做出最佳选择的教师更容易。
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引用次数: 6
DC motor position control of a solar tracking system using second order sliding mode 基于二阶滑模的太阳能跟踪系统直流电机位置控制
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905590
K. Boudaraia, H. Mahmoudi, Mohamed Abbou, M. Hilal
This paper deals with the DC motor position control using second order sliding mode technique in aim to position a solar tracker front of the sun throughout the day. A short description of the studied system is introduced and the modeling of the DC motor using electrical and mechanical equations is shown. Thereafter, a comparative study using PI controller and second order sliding mode is presented in order to control the position of the DC motor. Finally, simulation results using Matlab/Simulink is presented to show the performance of the proposed techniques in position control of the DC motor.
本文研究了利用二阶滑模技术控制直流电动机的位置,目的是使太阳能跟踪器全天处于太阳前方。本文对所研究的系统作了简要介绍,并利用电学和力学方程对直流电机进行了建模。在此基础上,对比研究了PI控制器和二阶滑模控制器对直流电动机位置的控制。最后,利用Matlab/Simulink进行了仿真,验证了所提技术在直流电动机位置控制中的性能。
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引用次数: 5
A GPU-based breast cancer detection system using Single Pass Fuzzy C-Means clustering algorithm 基于gpu的单次模糊c均值聚类乳腺癌检测系统
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905595
M. Al-Ayyoub, Shadi Alzu'bi, Y. Jararweh, M. Alsmirat
Breast cancer is the most lethal type of cancer affecting women in the world. To improve the life quality of women, an early detection of this malignancy is always promising because this cancer is one of the cancers that can be managed and treated easily if it is detected earlier. Mammography is the standard screening method to diagnose breast cancer. At these days, there are a lot of researches that have been done to improve this screening method by benefiting from the enormous growth of technology. Graphics Processing Unit (GPU) is a parallel processor that can divide the complex computations tasks into subtasks and run them concurrently. Many medical imaging modalities offloaded their processing to this processor to help in improving the speed of healthcare systems in order to diagnose the illnesses in real time. This research introduces an acceleration method for the segmentation of the mammography images based on the GPU. In order to provide a better detection for the cancerous tumor, we use a modified version of the most common algorithm for image segmentation, which is the Single Pass Fuzzy C-Means (FCM) algorithm. The approach will be applied to a set of mammogram images to distinguish between malignant and benign cases. Additionally, the system is implemented on GPU parallel processor as well as the traditional CPU in order to compare the performance of both implementations. The performance results are compared according to the execution time and the speedup metrics. The proposed implementation on GPU provides a fine speedup compared to its serial implementation on CPU.
乳腺癌是世界上影响女性的最致命的癌症。为了提高妇女的生活质量,早期发现这种恶性肿瘤总是有希望的,因为这种癌症是一种癌症,如果发现得早,就可以很容易地控制和治疗。乳房x光检查是诊断乳腺癌的标准筛查方法。目前,人们已经做了很多研究来改进这种筛选方法,这得益于技术的巨大发展。图形处理器(Graphics Processing Unit, GPU)是一种并行处理器,它可以将复杂的计算任务划分成子任务并发运行。许多医学成像模式将其处理卸载到该处理器,以帮助提高医疗保健系统的速度,以便实时诊断疾病。本文介绍了一种基于GPU的乳腺x线图像加速分割方法。为了更好地检测癌性肿瘤,我们使用了最常用的图像分割算法的改进版本,即单遍模糊c均值(Single Pass Fuzzy C-Means, FCM)算法。该方法将应用于一组乳房x线照片,以区分恶性和良性病例。此外,该系统在GPU并行处理器和传统CPU上实现,以比较两种实现的性能。性能结果根据执行时间和加速指标进行比较。与在CPU上串行实现相比,在GPU上的实现提供了良好的加速。
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引用次数: 18
Kulczynski similarity index for objective evaluation of mesh segmentation algorithms Kulczynski相似度指标用于客观评价网格分割算法
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905611
F. R. Zakani, K. Arhid, Mohcine Bouksim, T. Gadi, M. Aboulfatah
Recently, the 3D mesh segmentation is considered as an important stage in many applications in 3D shape analysis. In fact, extensive research has been performed to offer multiple approaches and algorithms for 3D mesh segmentation. Nevertheless, it is relatively hard to assess which algorithm produces more accurate segmentation quality than the other. Various methods have been proposed to evaluate the quality of segmentation algorithms. However, the evaluation of these qualities is far from being a solved problem, since most of the existing metrics don't take into account the regularity of the meshes and base their comparison on only one ground truth segmentation which presents a serious problematic since almost all the 3D objects have in general multiple reference segmentations. Hence, in this paper, we propose a new objective evaluation measure, based on the Kulczynski similarity index. The proposed method support comparison with multiple ground truth segmentations and takes into account the irregularity of meshes. Several experiments have been produced to show the discriminative power of our proposed measure.
近年来,三维网格分割被认为是三维形状分析中的一个重要步骤。事实上,已经进行了广泛的研究,为3D网格分割提供了多种方法和算法。然而,相对难以评估哪种算法比另一种算法产生更准确的分割质量。人们提出了各种方法来评估分割算法的质量。然而,这些质量的评估还远远没有得到解决,因为大多数现有的指标没有考虑到网格的规律性,并且只基于一个地面真值分割进行比较,这带来了一个严重的问题,因为几乎所有的3D物体都有多个参考分割。因此,本文提出了一种新的基于Kulczynski相似度指数的客观评价指标。该方法支持与多个地面真值分割的比较,并考虑了网格的不规则性。已经进行了几个实验来证明我们提出的方法的判别能力。
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引用次数: 6
Reconfigurable T-shaped antenna for S-band applications 用于s波段应用的可重构t形天线
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905560
Omar El Maleky, F. Abdelouahab, M. Essaaidi, Laila Ajana
This paper present a reconfigurable T-shaped antenna how can operate easily at seven frequencies in S-band, the switching technique consist of an equivalent approach to PIN Diode it is to change the state of the distribution of current by insert a simple micro strip line in different positions, the simulated and de measured prototype frequency is respectively 3.12 GHz, 3.2 GHz, 3.31 GHz, 3.44 GHz, 3.56 GHz, 3.76 GHz, 4 GHz. The antenna is fabricated using FR4 substrate with relative permittivity of 4.4 and pert tangent of 0.02.
本文提出了一种可重构的t形天线,该天线可在s波段的7个频率下轻松工作,其开关技术采用与PIN二极管等效的方法,即通过在不同位置插入一条简单的微带线来改变电流分布的状态,仿真和测试的原型频率分别为3.12 GHz、3.2 GHz、3.31 GHz、3.44 GHz、3.56 GHz、3.76 GHz和4 GHz。天线采用相对介电常数为4.4,正切系数为0.02的FR4衬底制作。
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引用次数: 4
Dynamic hybrid approach for reusable containers management in a close-loop supply chain 闭环供应链中可重用容器管理的动态混合方法
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905552
Mohammed Rida Ech-Charrat, K. Amechnoue
In this study, we are interested in the reusable containers management (e.g gases bottles, pallets, maritime containers, etc.). In this context, we address a dynamic reusable containers planning problem in a close-loop supply chain to optimize reusable containers collect, exploitation, storage and redistribution under environmental constraint in the context of reverse logistic. We propose firstly a new mixed integer programming model that helps practitioners to determine the delivered, collected, stored quantities of reusable containers on each period of the planning horizon under a carbon emission constraint. Secondly we introduce a hybrid approach based on the genetic algorithms to solve the problem. The numerical results have shown that developed hybrid approach generates high-quality solutions in a moderate computational time.
在本研究中,我们对可重复使用的容器管理(如气瓶、托盘、海运集装箱等)感兴趣。在此背景下,我们研究了闭环供应链中可重复使用集装箱的动态规划问题,以优化逆向物流环境约束下可重复使用集装箱的收集、开发、存储和再分配。我们首先提出了一个新的混合整数规划模型,该模型可以帮助实践者在碳排放约束下确定每个规划周期内可重复使用容器的交付、收集和存储数量。其次,我们引入了一种基于遗传算法的混合方法来解决这一问题。数值结果表明,所提出的混合方法能在较短的计算时间内得到高质量的解。
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引用次数: 5
Using Mel Frequency Cepstral Coefficient method for online Arabic characters handwriting recognition 基于Mel频率倒谱系数法的在线阿拉伯字符手写识别
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905532
Fateh Bougamouza, Samira Hazmoune, Mohammed Benmohammed
This paper presents an approach to extract features of online Arabic handwritten characters by combining offline features with Mel Frequency Cepstral Coefficients (MFCCs); indeed, these latter are commonly used as features in speech recognition systems. In this work, we have adapted MFCC method to online handwriting recognition area, and we investigate the classification performance of the MFCC with Hidden Markov Models (HMMs) for online Arabic handwritten character recognition, by varying some MFCC and HMM parameters such as sampling frequency, frame size, frame increment and number of HMM states. Besides, we have proposed a new solution of the problem of distributing points unevenly along the stroke curve, due to the variation in writing speed. This solution is appropriate for the online Arabic handwriting recognition systems for the reason of preserving information of the original character signal. The proposed system is evaluated using NOUN dataset and it gives an excellent recognition rate up to 96% which outperforms that reported by NOUN dataset owner in [1,2].
提出了一种将离线特征与Mel频率倒谱系数(MFCCs)相结合的在线阿拉伯手写字符特征提取方法;事实上,后者通常被用作语音识别系统的特征。本文将MFCC方法应用于在线手写体识别领域,通过改变MFCC和HMM的采样频率、帧大小、帧增量和HMM状态数等参数,研究了隐马尔可夫模型(HMM)对在线阿拉伯手写体字符识别的分类性能。此外,针对书写速度变化导致笔画曲线上点分布不均匀的问题,提出了一种新的解决方案。该方案保留了原始字符信号的信息,适用于在线阿拉伯文手写识别系统。使用名词数据集对该系统进行了评估,其识别率高达96%,优于名词数据集所有者在[1,2]中报告的识别率。
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引用次数: 3
Optimum relay location and power allocation of cooperative decode-and-forward dual-hop ARQ networks 协同解码转发双跳ARQ网络中继优化定位与功率分配
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905623
Ali Kamouch, A. Chaoub, Z. Guennoun
In this paper, we consider a multi-relay cooperative network assisted by the Automatic Repeat reQuest mechanism. In particular, the source node broadcasts the encoded stream to a set of relaying nodes and a relay will be chosen at each retransmission round to assist the source to convey the same stream to the common destination. Afterwards, we develop a semi-analytical method to compute the exact end-to-end outage probability, average delay and throughput metrics for the general case where the relays are positioned at various locations. This analytical method is corroborated by extensive simulation results to prove the accuracy of the proposed formulation. Further, we assess the performance of several relay-placement and power allocation configurations to find the optimal scheme.
本文研究了一种基于自动重复请求机制的多中继协作网络。特别是,源节点向一组中继节点广播编码的流,并且在每个重传轮中选择一个中继来协助源将相同的流传送到共同的目的地。之后,我们开发了一种半解析方法来计算继电器位于不同位置的一般情况下的精确端到端中断概率、平均延迟和吞吐量指标。大量的仿真结果证实了该分析方法的正确性。此外,我们评估了几种中继放置和功率分配配置的性能,以找到最优方案。
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引用次数: 1
Efficient electrocardiogram (ECG) lossy compression scheme 有效的心电图(ECG)有损压缩方案
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905608
A. Hatim, R. Latif, Oussama El Bachari, M. Arioua
A new electrocardiogram (ECG) lossy compression scheme has been developed. The algorithm can reach high compression ratios with a reduced error which makes it suitable for real-time electrocardiogram monitoring. The new algorithm is based on delta coding technique. Low and high coding categories were made to encode the differences and insure an optimized compressed signal. In addition the number of successive coded differences is flexible and defined with a window size. A new frame format was developed to transmit data. The algorithm has been verified using multiple and most frequent normal and pathological types of cardiac signals from MIT-BIH physionet data bases. The algorithm can reach a mean compression ratio of 33.45 and a mean PRD of 0.25%. The proposed algorithm has a low complexity and is very suitable for hardware designs.
提出了一种新的心电图有损压缩方案。该算法具有较高的压缩比和较小的误差,适合于实时心电图监测。该算法基于增量编码技术。采用高、低两种编码分类对差异进行编码,确保压缩信号的优化。此外,连续编码差异的数量是灵活的,并使用窗口大小来定义。开发了一种新的帧格式来传输数据。该算法已经使用来自MIT-BIH physionet数据库的多种和最常见的正常和病理类型的心脏信号进行了验证。该算法的平均压缩比为33.45,平均PRD为0.25%。该算法复杂度低,非常适合硬件设计。
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引用次数: 1
期刊
2016 5th International Conference on Multimedia Computing and Systems (ICMCS)
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