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2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)最新文献

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HARLib: A human activity recognition library on Android HARLib: Android上的人类活动识别库
Hua-Cong Yang, Yi-Chao Li, Zhi-Yu Liu, Jie Qiu
Current smartphones are integrated with rich sensors, which provides a good opportunity for the smartphone sensor data mining. By mining these data, we are able to analyze the user's behaviors. This paper describes HARLib, a human activity recognition library on the Android operating system. We use accelerometer built-in smartphone to recognize the user's activities, including walking, running, sitting, standing, lying down and stairs. It can be easy embedded into Android applications and provide a good performance of human activity recognition function.
当前智能手机集成了丰富的传感器,这为智能手机传感器数据挖掘提供了良好的契机。通过挖掘这些数据,我们能够分析用户的行为。本文介绍了Android操作系统上的人体活动识别库HARLib。我们使用内置的智能手机加速感应器来识别用户的活动,包括走路、跑步、坐着、站着、躺着和爬楼梯。它可以很容易地嵌入到Android应用程序中,并提供性能良好的人体活动识别功能。
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引用次数: 9
Detecting malware and evaluating risk of app using Android permission-API system 使用Android permission-API系统检测恶意软件并评估应用风险
Huan Zeng, Yan Ren, Qing-xian Wang, Neng-Qiang He, Xu-Yang Ding
The popularity and widely use of cellphone have greatly stimulated the spread of the apps. Meanwhile, security issues are increasing quickly, particularly for Android based devices. In this paper, through analyzing the android permissions system and android API system, we want to find out the relationship between permissions and APIs. Furthermore, we propose an approach to detect message intercepting malware. The contribution of this paper is threefold: first, we perform static analysis on the app to extract permissions and system APIs. In order to avoid permissions and APIs over declaration, we build java function call graph and find the system APIs been used; secondly, we proposed a light weight method to dynamic find out and update the relationship between permissions and APIs; third, we proposed a dynamic controlled method to detect android malwares. This proposed method is verified by extensive experiments.
手机的普及和广泛使用极大地刺激了应用程序的传播。与此同时,安全问题也在迅速增加,尤其是基于Android的设备。本文通过对android权限系统和android API系统的分析,找出权限和API之间的关系。此外,我们还提出了一种检测消息拦截恶意软件的方法。本文的贡献有三个方面:首先,我们对应用程序进行静态分析,提取权限和系统api。为了避免权限和api的过度声明,我们构建了java函数调用图,并找到了使用的系统api;其次,我们提出了一种轻量级的方法来动态发现和更新权限与api之间的关系;第三,提出了一种动态控制的android恶意软件检测方法。通过大量的实验验证了该方法的有效性。
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引用次数: 4
Optimization and improvement for multi-UAV cooperative reconnaissance mission planning problem 多无人机协同侦察任务规划问题的优化与改进
Wei-Long Yang, Luo Lei, Jingwei Deng
The Multi-UAV cooperative reconnaissance mission planning is one of the task allocation and resource scheduling problems during the multi-UAV cooperative control. The key to solve this problem is to build a reasonable solving-model and find an effective solving-algorithm. Based on the analysis of characteristics about reconnaissance missions, this paper takes plenty of constraints and performance planning targets in multi-UAV cooperative reconnaissance mission planning problems into full consideration, in particular the number of surveillance for targets, the reconnaissance time, the types of load requirements, and also the performance requirements of UAV, and thus establishes a more practical mathematical model for the multi-base, multi-target, multi-UAV cooperative reconnaissance problem. What is more, for the problems existed when dealing with the model, such as NP-hard and complex constraints, this paper has designed a modified genetic algorithm, based on the classical one, and meanwhile constructed the initial feasible solutions through a heuristic method, which would avoid the over-slow convergence in the process of evolutionary to a large degree.
多无人机协同侦察任务规划是多无人机协同控制中的任务分配和资源调度问题之一。解决这一问题的关键是建立合理的求解模型,找到有效的求解算法。本文在分析侦察任务特点的基础上,充分考虑了多无人机协同侦察任务规划问题中的大量约束条件和性能规划目标,特别是对目标的监视次数、侦察时间、载荷类型要求以及无人机的性能要求,从而建立了一个更实用的多基地、多目标、多目标协同侦察任务规划的数学模型。多无人机协同侦察问题。此外,针对模型处理过程中存在的NP-hard和复杂约束等问题,本文在经典遗传算法的基础上设计了一种改进的遗传算法,同时通过启发式方法构造初始可行解,在很大程度上避免了进化过程中收敛过慢的问题。
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引用次数: 21
Novel triangular patch antenna with reduced radar cross section 减小雷达截面积的新型三角形贴片天线
D. A. Jamro, Jingsong Hong, M. Bah, F. A. Mangi
A novel triangular patch antenna of decreased RCS is proposed and investigated for ultra-wide band (UWB) applications. The intention of antenna innovation is to realize radar cross section reduction. The patch slotted and miniaturization techniques are used. A radiating patch is innovated to improve RCS while two slots are notched on patch to maintain good radiation performance and enhance impedance matching of designed antenna. The RCS function of novel antenna is analyzed and matched with a referred patch. It is shown from outcomes that the new patch has an improved RCS in almost all the functioning frequency of 2-12GHz and gain has some reasonable incoherence in the wide band frequency. The simulated results demonstrate that the designed antenna offers good prospect for low RCS antenna applications.
提出并研究了一种用于超宽带(UWB)应用的减小RCS的新型三角形贴片天线。天线创新的目的是实现雷达截面积的减小。采用贴片开槽和小型化技术。创新了一种辐射贴片来改善RCS,同时在贴片上刻槽两个槽以保持良好的辐射性能并增强设计天线的阻抗匹配。分析了新型天线的RCS函数,并与参考贴片进行了匹配。结果表明,新贴片在2-12GHz的几乎所有功能频率上都有改进的RCS,并且在宽带频率上增益有一定的不相干性。仿真结果表明,所设计的天线在低RCS天线中具有良好的应用前景。
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引用次数: 1
A CP-ABE scheme with system attributes revocation in cloud storage 云存储中具有系统属性撤销的CP-ABE方案
Anping Xiong, Chunxiang Xu, Qi-Xian Gan
Attribute Based Encryption (CP-ABE) access control schemes has become a heated topic area in security since it is more suitable for access control mechanism. Due to the problems such that system attribute revocation is not flexible, system overhead is too big and other issues for existing CP-ABE access control schemes under cloud environment, with the limited access condition of `AND' and `OR' in an access tree, based on AB-ACER schemes, we proposed a CP-ABE scheme with system attribute revocation in Cloud storage. This scheme is based on many minimum attribute sets which shared Re-encryption keys, storage service provider re-encrypts ciphertext when a system attribute is revoked. This scheme is not only keeps security and fine-grained access control of original scheme, but also has a good flexibility and efficiency.
基于属性加密(Attribute Based Encryption, CP-ABE)的访问控制方案由于更适合于访问控制机制而成为安全领域的研究热点。针对现有的云环境下CP-ABE访问控制方案存在系统属性撤销不灵活、系统开销过大等问题,在访问树的“与”和“或”访问条件有限的情况下,我们在AB-ACER方案的基础上,提出了云存储中具有系统属性撤销的CP-ABE方案。该方案基于多个共享重加密密钥的最小属性集,存储服务提供者在系统属性被撤销时对密文进行重新加密。该方案既保持了原方案的安全性和细粒度访问控制,又具有良好的灵活性和效率。
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引用次数: 8
Research on blind equalization method of multipath channels 多径信道盲均衡方法研究
Yujun Yang, Yimei Yang, Jianping Li
This article first briefly introduces the basic principles of the multipath effects and analyzes the causes of the multipath fading, and then gives the standards definition for some related concepts and rigorous mathematical expressions for those. Then, based on a theoretical model, using dynamic system modeling and simulation software package Simulink of the Matlab software, this article gives the corresponding simulation model, vividly recreates the actual process of multipath fading channels. The simulation results prove the feasibility of this algorithm and have good performances and higher applied value.
本文首先简要介绍了多径效应的基本原理,分析了多径衰落产生的原因,然后给出了相关概念的标准定义和严格的数学表达式。然后,在建立理论模型的基础上,利用动态系统建模与仿真软件包Simulink中的Matlab软件,给出了相应的仿真模型,生动地再现了多径衰落信道的实际过程。仿真结果证明了该算法的可行性,具有良好的性能和较高的应用价值。
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引用次数: 0
ECG identification based on neural networks 基于神经网络的心电识别
Junjie Wu, Yue Zhang
Electrocardiogram (ECG) can be used in clinical diagnosis for cardiac function. Also, because individuals have different ECG traces, therefore, they can be acquired as promising biometric features for human identification. Data for experiment in this paper were chosen from MIT-BIH Arrhythmia Database. Lead I ECG traces of 33 normal individuals were used. QRS complexes were extracted from filtered ECG data as features for identification. After dimension reduction by principal component analysis, Back Propagation Neural Networks was used as classifier. Finally, identification results were determined by voting mechanism. The results showed that, accuracy of classification can reach up to 99.6% using the method proposed in this paper. Besides, this method surpasses other researches in a comprehensive way by considering aspects such as the number of leads, data set, complexity and accuracy.
心电图(Electrocardiogram, ECG)可用于临床诊断心功能。此外,由于个体具有不同的ECG痕迹,因此它们可以作为有前途的生物特征用于人类识别。本文实验数据来源于MIT-BIH心律失常数据库。采用33例正常人的导联心电图示踪。从滤波后的心电数据中提取QRS复合物作为特征进行识别。经主成分分析降维后,采用反向传播神经网络作为分类器。最后通过投票机制确定识别结果。结果表明,采用本文提出的方法,分类准确率可达99.6%。此外,该方法从线索数量、数据集、复杂性和准确性等方面综合考虑,超越了其他研究。
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引用次数: 10
Topological map building for mobile robots based on thining algorithm 基于thinting算法的移动机器人拓扑图构建
Shan Xue, Yong Zhang, Jin Cheng, Qinjun Zhao
With the development of science and technology, mobile robots have more and more extensive applications to complete the task in unknown environment. Create the environmental map of the unknown space is a key to control and navigation of mobile robots. We focus on the related problems of topological map building in unknown environment. The main studies undertaken in this paper are listed as follows: firstly, the paper introduces the research background and points out the present problems of map building. Secondly, topological map is built based on thinning algorithm which is commonly used in image processing of recognition. This avoids producing un-necessary nodes and paths. The environment is modeled in grid map, next the thinning algorithm is applied in the map, and then the effective topological information is extracted. Finally, simulation results show that the topological map based on thinning is clear, simple and effective. Moreover this topological map reduces information storage memory. This will improve the ability of autonomous operation, navigation and path planning further.
随着科学技术的发展,移动机器人在未知环境下完成任务的应用越来越广泛。建立未知空间的环境地图是移动机器人控制和导航的关键。重点研究了未知环境下拓扑图生成的相关问题。本文的主要研究内容如下:首先介绍了本文的研究背景,指出了目前地图制作中存在的问题。其次,基于识别图像处理中常用的细化算法构建拓扑图;这样可以避免产生不必要的节点和路径。首先在网格地图中对环境进行建模,然后在网格地图中应用细化算法,提取有效的拓扑信息。仿真结果表明,基于细化的拓扑图清晰、简单、有效。此外,这种拓扑映射减少了信息存储内存。这将进一步提高自主操作、导航和路径规划的能力。
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引用次数: 4
Economic performance evaluation and classification using hybrid manifold learning and support vector machine model 基于混合流形学习和支持向量机模型的经济绩效评价与分类
Songbian Zime
Economic performance evaluation and classification is an important and challenging issue and has been gaining attention the last three decades of academic research, monetary institutions groups and business development. The purpose of this paper is to propose a hybrid model which combines support vector machine with isometric feature mapping (ISOMAP), Principal Component Analysis (PCA) and Locally Linear Embedding (LLE) utilized as a preprocessor in order to improve countries economic performance evaluation and classification capability by support vector machine. The results show that our hybrid approach SMV+ISOMAP only not has the best classification rate, but also produces the lowest incidence of Type II errors and have the excellent Receiver Operating Characteristic (ROC) curve. In addition it's capable to provide on time the economic performance classification for better investment and government decisions.
经济绩效评价与分类是一个重要而具有挑战性的问题,在过去三十年的学术研究、金融机构集团和商业发展中受到越来越多的关注。本文的目的是提出一种将支持向量机与等长特征映射(ISOMAP)、主成分分析(PCA)和局部线性嵌入(LLE)相结合作为预处理的混合模型,以提高支持向量机对国家经济绩效的评价和分类能力。结果表明,SMV+ISOMAP混合方法不仅具有最佳的分类率,而且产生的II型错误发生率最低,并且具有优异的受试者工作特征(ROC)曲线。此外,它还能够及时提供经济绩效分类,以便更好地进行投资和政府决策。
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引用次数: 1
A novel algorithm for extracting text labels and subfigure captions from multi-panel figure caption 一种从多面板图标题中提取文本标签和子图标题的新算法
Mushtaq Ali, Le Dong, Yan Liang, Zongyi Xu, Ling He, Ning Feng
Segmentation of multi-panel figure caption into subfigure captions and text labels is a problem that arises in a number of applications particularly in estimating the total number of panels in the multi-panel figure. The results of the existing methods for solving this problem are unsatisfactory and need improvement. Moreover, these methods are computationally expensive. In this paper, we propose a novel algorithm for the segmentation of multi-panel figure caption. This algorithm needs two inputs, i.e., multi-panel figure caption to be segmented and text label type. Upon receiving these two inputs it will extracts text labels and subfigure captions from the given multi-panel figure caption. We implemented the proposed algorithm and evaluated its results on 100 multipanel figure captions collected from 100 research papers. From the results we observed 100% accuracy for the text label types containing two or more than two characters.
将多面板图标题分割成子图标题和文本标签是在许多应用中出现的问题,特别是在估计多面板图中的面板总数时。现有的解决这一问题的方法效果不理想,需要改进。此外,这些方法的计算成本很高。本文提出了一种新的多面板图像标题分割算法。该算法需要两个输入,即待分割的多面板图标题和文本标签类型。在接收到这两个输入后,它将从给定的多面板图标题中提取文本标签和子图标题。我们实现了该算法,并对从100篇研究论文中收集的100个多面板图标题进行了结果评估。从结果中我们观察到,对于包含两个或两个以上字符的文本标签类型,准确率为100%。
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引用次数: 0
期刊
2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP)
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