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2013 International Conference on Information Science and Cloud Computing Companion最新文献

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Musical Instrument Recognition Based on the Bionic Auditory Model 基于仿生听觉模型的乐器识别
Lin Zhang, Shan Wang, Lianming Wang, Yiyuan Zhang
We present a bionic auditory system for musical instrument recognition. This system is designed based on the physiological structures of the human auditory system that are essential to sound source recognition, such as the basilar membrane and inner hair cells in the cochlea of the inner ear, cochlear nucleus, and the auditory cortex. A large solo database consisting of 243 acoustic and synthetic solo tones over the full pitch ranges of seven different instruments (guitar, harp, horn, piano, saxophone, trumpet, and violin) is used to encompass different sound possibilities of each instrument. The gamma tone model, the Meddis model, and poster ventral cochlear nucleus (PVCN) model are constructed to imitate the basilar membrane, the inner hair cells, and the cochlear nucleus, respectively. By using 33%/67% splits between training and test data, a self-organizing mapping neural network (SOMNN) based on the function of auditory cortex is established to classify the instruments. The instruments are recognized with an overall success rate of over 75%. This bionic auditory system indicates high efficiency and high accuracy in musical instrument recognition.
提出了一种用于乐器识别的仿生听觉系统。该系统是根据人类听觉系统中对声源识别至关重要的生理结构,如内耳耳蜗的基底膜和内毛细胞、耳蜗核、听觉皮层等进行设计的。一个大型独奏数据库由243个声学和合成独奏音调组成,涵盖七种不同乐器(吉他、竖琴、圆号、钢琴、萨克斯、小号和小提琴)的全音高范围,用于涵盖每种乐器的不同声音可能性。分别模拟基底膜、内毛细胞和耳蜗核,构建耳蜗γ音模型、Meddis模型和后腹侧耳蜗核(PVCN)模型。利用训练数据和测试数据之间33%/67%的分割,建立了基于听觉皮层功能的自组织映射神经网络(SOMNN)对乐器进行分类。这些仪器的总体成功率超过75%。该仿生听觉系统在乐器识别方面具有较高的效率和准确性。
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引用次数: 6
A Case of Chip Multithreading Architecture with Resource Unit Manager 基于资源单元管理器的芯片多线程架构实例
Juan Fang, Zhenxi Pan, Lu Yu, Sitong Liu
In order to improve the overall throughput of processors, to increase thread-level parallelism (TLP) and instruction-level parallelism (ILP) intra and inter cores, and ensure the scalability of multi-core systems, can a novel mechanism chip multithreading with resource unit manager (RUM-CMT) be used, which is presented in this paper. By introducing the efficiency difference of resource utilization among threads, such as, the condition of dynamically resource allocation to CMT architecture and add an absorption barrier for all threads to make their reserved resources far away from hidden hunger. For verify the applicability of RUM-CMT, a 4 cores with 2 threads processor and a 4 cores with 4 threads processor are simulated based on GEMS & Simics simulator. And this limited study shows RUM-CMT can increase performance by 29.79%, and an improve success committed instructions per squash instructions by 31.15% and fairness attains 6.25% improvements over static partition on 4 cores with 4 threads processor. The 4 cores with 2 threads also attains passable enhance. So RUM-CMT can accurately and concise reallocate resource according to phase turning in the running of applications, improve resource utilization, mining the ILP and TLP in applications. In other words, RUM-CMT improves the controllability of threads, reduces invalid losses and improves system efficiency, and it is a suitable solution for multicore, multithreaded architecture.
为了提高处理器的整体吞吐量,提高内核内和内核间的线程级并行性(TLP)和指令级并行性(ILP),保证多核系统的可扩展性,本文提出了一种基于资源单元管理器(RUM-CMT)的芯片多线程机制。通过在CMT体系结构中引入线程间资源利用效率差异,如动态资源分配条件,并为所有线程添加吸收屏障,使其保留的资源远离隐性饥饿。为了验证RUM-CMT的适用性,在GEMS和Simics模拟器上分别对4核2线程处理器和4核4线程处理器进行了仿真。这项有限的研究表明,与4核4线程处理器上的静态分区相比,ram - cmt可以将性能提高29.79%,将每个压缩指令的成功率提高31.15%,公平性提高6.25%。4核2线程也获得了尚可的增强。因此,RUM-CMT可以在应用程序运行过程中根据阶段转换准确、简洁地重新分配资源,提高资源利用率,挖掘应用程序中的ILP和TLP。也就是说,ram - cmt提高了线程的可控性,减少了无效损耗,提高了系统效率,是一种适合多核、多线程架构的解决方案。
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引用次数: 0
Software Analysis of Internet Bots Using a Model Checker 使用模型检查器的互联网机器人软件分析
Eri Koike, S. Nishizaki
Internet bots are software agents which perform automated tasks. Recently, Twitter bots have become popular and are widely used. However, in order to reduce the load on the Twitter server, one can only make a limited number of connections to the server. You therefore have to design a Twitter bot considering the total number of connections. Model Checking is a technique for verifying automatically whether a model satisfies a given specification. A number of model checkers have been developed, such as SPIN and UPPAAL. In this paper, we study how to apply model checking to analysis of load provided by a bot on the Twitter server. We give a model of a Twitter bot for the UPPAAL model checker. The bot is actually implemented on the Google App Engine. We analyze the dynamic features of the model with respect to restriction of communication with the Twitter server, using the UPPAAL model checker. Finally, we discuss the future direction of our work.
互联网机器人是执行自动任务的软件代理。最近,推特机器人开始流行并被广泛使用。但是,为了减少Twitter服务器上的负载,只能对服务器建立有限数量的连接。因此,您必须设计一个考虑连接总数的Twitter机器人。模型检查是一种自动验证模型是否满足给定规范的技术。已经开发了许多模型检查器,例如SPIN和UPPAAL。在本文中,我们研究了如何将模型检查应用于Twitter服务器上机器人提供的负载分析。我们为UPPAAL模型检查器提供了一个Twitter机器人模型。这个机器人实际上是在谷歌应用引擎上实现的。我们使用UPPAAL模型检查器,根据与Twitter服务器的通信限制来分析模型的动态特征。最后,讨论了今后的工作方向。
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引用次数: 3
Factors Affecting Small and Medium-Sized Enterprise's Information Technology Absorptive Capability: An Empirical Study of Jilin Province in China 中小企业信息技术吸收能力的影响因素——基于吉林省的实证研究
Lei Wang, Xinhua Bi, Yue Cao, Meiling Gu
In order to find out the key factors affecting the Information Technology (IT) absorptive capability of Small and Medium-sized Enterprises (SMEs), an empirical study is conducted in this paper. Based on the three-dimensional structure and the influence model of IT absorptive capability proposed by Cuiling Yu, and combined with the characteristics of SMEs, this paper proposes a new model of influence factors, and meanwhile makes an empirical study on the SMEs in Jilin province. Empirical results show that IT consulting, IT infrastructure and government support have significantly impacts on the three-dimension of SMEs' IT absorptive capability. On one hand, the paper reveals how the regions and industries as control variables influence the IT absorptive capacity of SMEs, on the other hand, the paper reveals that IT consulting has a special effect on IT absorptive capacity of SMEs.
为了找出影响中小企业信息技术吸收能力的关键因素,本文进行了实证研究。本文在余翠玲提出的IT吸收能力三维结构和影响模型的基础上,结合中小企业的特点,提出了新的IT吸收能力影响因素模型,并对吉林省中小企业进行了实证研究。实证结果表明,IT咨询、IT基础设施和政府支持对中小企业IT吸收能力的三维影响显著。本文一方面揭示了地区和行业作为控制变量对中小企业IT吸收能力的影响,另一方面揭示了IT咨询对中小企业IT吸收能力的特殊影响。
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引用次数: 1
The Improved Particle Filter Algorithm Based on Weight Optimization 基于权值优化的改进粒子滤波算法
Juntao Zhu, Xiaolong Wang, Qiansheng Fang
Particle filter algorithm is to achieve recursive Bayesian filter through the simulation method of non-parameter Monte Carlo, It based on sequential importance sampling, and can not avoid particle degeneration problem, a way to overcome the particle degradation is re-sampling, However sample impoverishment will appear in the process of re-sampling, This paper proposes an improved particle filter method based on optimized weight. To some extent, the method solves the particle impoverishment problem, According to simulation results, we can confirm that the improved particle filter algorithm proposed in the paper can effectively improve the estimation precision of particle filter algorithm.
粒子滤波算法是通过非参数蒙特卡罗模拟方法实现递归贝叶斯滤波,它基于顺序重要采样,无法避免粒子退化问题,克服粒子退化的一种方法是重采样,但是在重采样过程中会出现样本贫化现象,本文提出了一种基于优化权值的改进粒子滤波方法。该方法在一定程度上解决了粒子贫困化问题,通过仿真结果可以证实,本文提出的改进粒子滤波算法可以有效提高粒子滤波算法的估计精度。
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引用次数: 6
A New Model Language for Cyber Physical Systems 一种新的网络物理系统模型语言
Mingxing Liu, Wubin Ma, Dengsu, Hongbing Huang
Cyber Physical Systems are an emerging discipline that integrates computation and physical processes. With the computation field developed maturely, the major challenges of the implementation of CPSs are the informational abstraction of physical processes and the feedback control on physical processes. The aim of this paper is to provide a description methodology of the physical entity control part, which we named CPSs Hyper Control Mark up Language (CPSsHCML). Through the analysis of TV control part, which is an important physical entity in smart home which is a typical CPSs, the classification of CPSs Hyper Control is obtained in the following four aspects: Function Switch (FS), Discrete Enumerative (DE), Continuous Interval (CI) and Angle Direction (AD). Our work focuses on the definition and description of the attribute fields of global properties and the four CPSs Hyper Controls. In addition, an application of CPSsHCML, which we mentioned above, Sony KLV-40F300A TV in smart home, is provided to show that the prospects of CPSsHCML are promising. Furthermore, some important research challenges and suggestions in future are outlined in brief.
网络物理系统是一门集计算和物理过程于一体的新兴学科。随着计算领域的成熟,cps实现的主要挑战是物理过程的信息抽象和对物理过程的反馈控制。本文的目的是提供一种物理实体控制部分的描述方法,我们将其命名为cps超控制标记语言(CPSsHCML)。电视控制部分是智能家居中重要的物理实体,是典型的cps,通过对其进行分析,得出了cps超控制的分类,分为功能开关(FS)、离散枚举(DE)、连续间隔(CI)和角度方向(AD)四个方面。我们的工作重点是全局属性和四个cps超控件的属性字段的定义和描述。此外,本文还提供了前面提到的CPSsHCML在索尼KLV-40F300A电视在智能家居中的应用,说明CPSsHCML的应用前景广阔。在此基础上,提出了今后研究的一些重要挑战和建议。
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引用次数: 2
Cloud Model: Detect Unsupervised Communities in Social Tagging Networks 云模型:在社会标签网络中检测无监督社区
H. Gao, Jing Jiang, Li Zhang, Li Yuchao, Deyi Li
In the big data era, detecting unsupervised communities in a given dataset, analyzing the evolution of the unsupervised communities, tracing the interests of users are very important. For instance, we can capture user's interest and provide personalized information. In order to detect unsupervised communities in social tagging networks, this paper uses similarity cloud properties of cloud model to solve the different community analysis, classification, and describe the evolutions of unsupervised communities quantitatively and users' dynamic interests in unsupervised communities problems. Cloud model is used in this paper. By introducing similarity cloud properties of cloud model, cloud model can detect the unsupervised communities, describe the evolutions of unsupervised communities quantitatively, and users' dynamic interests in unsupervised communities. For illustration, the proposed model is applied to Delicious dataset to detect unsupervised communities and one month is used as time slice to study the evolutions of the unsupervised communities. Empirical results show that the unsupervised community in social tagging in network, using Similarity cloud properties of cloud model can effectively detect different unsupervised communities, and describe the evolutions of unsupervised communities quantitatively. Similarity cloud properties based cloud model can effectively detect unsupervised community in social tagging network, and quantitatively describe the evolutions of the community and community user' dynamic interest. Hence, CBUCD model is an efficient solution for detecting unsupervised community and analyzing evolutions.
在大数据时代,在给定的数据集中检测无监督社区,分析无监督社区的演变,追踪用户的兴趣是非常重要的。例如,我们可以捕捉用户的兴趣并提供个性化信息。为了检测社会标签网络中的无监督社区,本文利用云模型的相似云属性解决了不同社区的分析、分类,并定量描述了无监督社区的演变和用户对无监督社区的动态兴趣问题。本文采用的是云模型。通过引入云模型的相似云属性,云模型可以检测无监督社区,定量描述无监督社区的演变,以及用户在无监督社区中的动态兴趣。为了说明,将该模型应用于Delicious数据集来检测无监督社区,并以一个月作为时间片来研究无监督社区的演变。实证结果表明,在网络社会标注中的无监督社区,利用云模型的相似云属性可以有效地检测不同的无监督社区,并定量描述无监督社区的演变。基于相似云属性的云模型可以有效地检测社交标签网络中的无监督社区,并定量描述社区的演变和社区用户的动态兴趣。因此,cbud模型是检测无监督群体和分析进化的有效解决方案。
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引用次数: 9
A Cloud-Based Platform for Watching Same Content on Three-Screen TV Continuously in Smart Home 基于云的智能家居三屏电视同一内容连续观看平台
E. Ahvar, G. Lee, N. Crespi
Watching Same Content on Three-Screen TV Continuously (WSC3STVC) has been considered as one of the representative services in smart homes recently. This service offers content mobility among multiple kinds of screens based on user position in home. Quality of Experience (QoE) and service implementation cost are two important challenges for supporting WSC3STVC service. To the best of our knowledge, there is no visible attempt to design a comprehensive platform for supporting this service in smart homes. Benefiting from cloud computing, peer-to-peer (P2P) network, clustering and H.264 SVC transcoding, this paper proposes a QoE-aware and cost-effective platform for supporting WSC3STVC service in smart home. The strong points of the proposed platform are transcoding in cloud instead of Home GateWay (HGW) for decreasing HGW cost, content switching inside HGW for reducing service delay, using a cloud-managed P2P network for improving bandwidth between cloud and homes and also clustering homes for reducing transfer delay between homes.
在三屏电视上连续观看相同的内容(WSC3STVC)是近年来智能家居的代表性服务之一。该服务根据用户在家中的位置在多种屏幕之间提供内容移动性。体验质量(QoE)和服务实现成本是支持WSC3STVC服务的两个重要挑战。据我们所知,目前还没有明显的尝试设计一个全面的平台来支持智能家居中的这项服务。利用云计算、点对点网络、集群和H.264 SVC转码等技术,提出了一种支持WSC3STVC服务的qos感知、性价比高的智能家居平台。该平台的优点是在云中转码而不是家庭网关(HGW)以降低HGW成本,在HGW内进行内容交换以减少服务延迟,使用云管理的P2P网络以提高云和家庭之间的带宽,以及集群家庭以减少家庭之间的传输延迟。
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引用次数: 3
Research of the Anti-phishing Technology Based on E-mail Extraction and Analysis 基于电子邮件提取与分析的反网络钓鱼技术研究
Yanhui Du, Fu Xue
In this paper, an anti-phishing technique based on e-mail extraction and analysis is proposed. The technique approached with phishing email, the channel phishing attack transmits, distinguish phishing emails and extract the suspicious URL from the e-mail for further analysis. Upon arrival, a protected list is built according to those third parties which are the most vulnerable to phishers in order to filter those confusing advertising spams in China and a neural network based model is proposed in order to detecting phishing messages from an e-mail stream. In this anti-phishing technique, email stream captured by our honey pot subsystem from the Internet is parsed into a MIME email firstly, various feathers are extracted from the email and outputted into feather vectors. The feature vectors will be self-organized by ART2 neural network one by one and classified into corresponding categories. Link URLs in the suspected emails' messages will be extracted for further detection in phishing site subsystem. Experiment using collected emails shows a good performance aiming at detecting phishing emails in China while foreign method performs badly in distinguishing phishing emails from spam.
本文提出了一种基于电子邮件提取和分析的反网络钓鱼技术。该技术以网络钓鱼邮件为突破口,通道式网络钓鱼攻击传输、识别网络钓鱼邮件,并从邮件中提取可疑URL进行进一步分析。在到达后,根据最容易受到网络钓鱼者攻击的第三方建立保护列表,以过滤中国境内令人困惑的广告垃圾邮件,并提出了基于神经网络的模型来检测电子邮件流中的网络钓鱼信息。在这种反网络钓鱼技术中,蜜罐子系统首先将从互联网上捕获的电子邮件流解析为MIME电子邮件,从电子邮件中提取各种羽毛并输出到羽毛向量中。特征向量将被ART2神经网络逐个自组织并分类到相应的类别中。可疑邮件消息中的链接url将被提取出来,供钓鱼网站子系统进一步检测。通过收集到的邮件进行的实验表明,该方法在检测国内网络钓鱼邮件方面表现良好,而国外的方法在区分网络钓鱼邮件和垃圾邮件方面表现不佳。
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引用次数: 5
Hand Tracking Algorithm Based on SuperPixels Feature 基于超像素特征的手部跟踪算法
Zhiqin Zhang, Fei Huang
There have been considerable research efforts to use the hand as an input device for HCI in recent years. Hand tracking is the most important procedure for HCI, it is essential of tracking stability and efficiency for hand manipulation. This paper proposed a novel hand tracking algorithm which can track a hand stable and is real time, and the proposed algorithm can work on normal CCD cameral. Our algorithm is based on mean-shift and we improved it to fit for robust hand tracking by using super pixel cluster, integrated GIH and skin color mask, the skin color mask was extracted using online learning. The proposed improved algorithm can track hand reliably even in clutter environments comparing to the existing traditional algorithms.
近年来,已经有相当多的研究努力将手作为HCI的输入设备。手部跟踪是人机交互中最重要的环节,对手部操作的跟踪稳定性和效率至关重要。本文提出了一种新颖的手部跟踪算法,该算法能够稳定、实时地跟踪手部,并能在普通CCD摄像机上工作。该算法以mean-shift为基础,通过超像素聚类、融合GIH和肤色掩模对算法进行改进,使其适应鲁棒手部跟踪,肤色掩模通过在线学习提取。与现有的传统算法相比,改进算法在杂波环境下也能可靠地跟踪手部。
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引用次数: 10
期刊
2013 International Conference on Information Science and Cloud Computing Companion
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