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2016 18th International Conference on Advanced Communication Technology (ICACT)最新文献

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Risk of privacy loss assessment of cloud storage services 云存储服务隐私损失风险评估
Pub Date : 1900-01-01 DOI: 10.1109/ICACT.2016.7423291
Chatchawan Kamwan, T. Senivongse
Cloud storage services have promising characteristics for personal and corporate use as consumers' data can be stored on shared pools of storage hosted by cloud providers, while consumers can access and manage their data anywhere via an Internet connection. Nevertheless, protection of data privacy is one of the major issues, and at the time of storage service selection, prospective consumers are concerned with how the cloud storage providers handle their personal data. To help a consumer with storage service selection, this paper proposes a methodology to assess the risk of privacy loss when consumer data are stored with a particular cloud storage service. The risk of privacy loss is viewed from two aspects. First, sensitivity of the personal data to be stored in the cloud and sensitivity of consumers' personal data requested at the time of service registration can contribute to the risk. Second, lack of privacy control transparency can be a risk factor if the cloud storage provider inadequately show the necessary privacy principles that are practiced. The proposed methodology can assist the consumers when determining the risk levels of privacy loss of different cloud storage services. We present the application of the methodology to a case of an organization selecting a cloud storage service to host its corporate data.
云存储服务在个人和企业使用方面具有很有前景的特点,因为消费者的数据可以存储在云提供商托管的共享存储池中,而消费者可以通过互联网连接在任何地方访问和管理他们的数据。然而,数据隐私保护是主要问题之一,在选择存储服务时,潜在消费者关心云存储提供商如何处理他们的个人数据。为了帮助消费者选择存储服务,本文提出了一种方法来评估当消费者数据存储在特定的云存储服务中时隐私丢失的风险。从两个方面来看待隐私丢失的风险。首先,存储在云中个人数据的敏感性和服务注册时要求的消费者个人数据的敏感性会增加风险。其次,如果云存储提供商没有充分展示必要的隐私原则,那么缺乏隐私控制透明度可能是一个风险因素。所提出的方法可以帮助消费者确定不同云存储服务的隐私丢失风险等级。我们将该方法应用于一个组织选择云存储服务来托管其公司数据的案例。
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引用次数: 3
Decision support tool for IoT service providers for utilization of multi clouds 面向物联网服务提供商的多云利用决策支持工具
Pub Date : 1900-01-01 DOI: 10.1109/ICACT.2016.7423285
M. Kashef, Hyenyoung Yoon, M. Keshavarz, Junseok Hwang
The Internet of Things (IoT) refers to uniquely identifiable objects (things) and their virtual representations in an Internet-like structure. IoT service Providers (IoTSP), i.e. the companies who intend to offer IoT-based services, may utilize cloud computing which offers a cheap, ubiquitous, unlimited and elastic solution for the supporting infrastructure. In this way the IoTSP will deploy its Virtual Machines (VM) on various cloud service providers (multi clouds) to have satisfactory coverage and performance for its globally distributed users. In this context, one of the major problems is to minimize the overall cost of cloud infrastructure while keeping satisfactory level of performance. To achieve this the IoTSP has to cost-optimally place its VMs on the available cloud service providers. This paper proposes a decision support tool for IoTSP to find their cost-optimum VM placement on multi clouds. The tool comprises a cost estimation model as well as an optimization algorithm. Our decision support tool is examined by several simulation scenarios and the results demonstrate the working of the tool.
物联网(IoT)是指在类似互联网的结构中唯一可识别的对象(事物)及其虚拟表示。物联网服务提供商(IoTSP),即打算提供基于物联网服务的公司,可以利用云计算为支持基础设施提供廉价、无处不在、无限和弹性的解决方案。通过这种方式,IoTSP将在各种云服务提供商(多云)上部署其虚拟机(VM),以便为其全球分布的用户提供满意的覆盖和性能。在这种情况下,主要问题之一是最小化云基础设施的总体成本,同时保持令人满意的性能水平。为了实现这一点,IoTSP必须以最优的成本将其虚拟机放置在可用的云服务提供商上。本文提出了一种决策支持工具,用于iot tsp在多云环境下寻找成本最优的虚拟机布局。该工具包括成本估算模型和优化算法。我们的决策支持工具通过几个模拟场景进行了检查,结果证明了该工具的工作。
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引用次数: 4
Cognitive radio with fast sensing technique using autocorrelation approach 基于自相关方法的认知无线电快速传感技术
Pub Date : 1900-01-01 DOI: 10.1109/ICACT.2016.7423253
A. Lebda, E. Gemeay, M. Khder, S. Khamis
The dynamic spectrum allocation is important to improve spectrum efficiency usage of available radio spectrum. Cognitive radio has emerged as a solution to dynamic spectrum access, due to its adaptability and re-configurability. The main problem of cognitive radio is how the secondary users can detect the holes in the frequency band of the primary users. Spectrum sensing is the main feature of cognitive radio technology. Finding a more accurate and efficient spectrum sensing technique is the core of cognitive radio technology to develop dynamic resource management in future wireless networks. A spectrum sensing based on the auto correlation technique provides performance improvement at very low SNR over the energy detection technique. In this paper, we show the autocorrelation spectrum sensing features over energy detection spectrum sensing technique. Analytical and Simulation results are performed in a non-fading and a fading environment as well. The results show that the autocorrelation technique has enormous superiority in performance over that of the energy technique.
动态频谱分配对于提高频谱效率和有效利用无线电频谱具有重要意义。认知无线电由于其适应性和可重构性而成为动态频谱接入的一种解决方案。认知无线电的主要问题是次要用户如何检测到主要用户频带中的漏洞。频谱感知是认知无线电技术的主要特点。寻找一种更准确、更高效的频谱感知技术是认知无线电技术发展未来无线网络动态资源管理的核心。与能量检测技术相比,基于自相关技术的频谱感知在非常低的信噪比下提供了性能改进。在本文中,我们展示了能量检测频谱感知技术的自相关频谱感知特征。分析和仿真结果分别在非衰落和衰落环境下进行。结果表明,自相关技术在性能上比能量技术有很大的优越性。
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引用次数: 4
A process-aware goal description language for the Internet of Things community computing environments 面向物联网社区计算环境的过程感知目标描述语言
Pub Date : 1900-01-01 DOI: 10.1109/icact.2016.7423333
Meesun Kim, Hyun Ahn, Kwanghoon Pio Kim
This paper proposes an abstract language for describing process-aware goals to be accomplished by collaborative smart-objects communities over the Internet of Things (IoT) platforms. The proposed abstract language is based upon the process-driven IoT-community computing model that is derived from a conceptual integration of the process-aware collaborations and the standardized IoT framework announced via the ITU-T SG13 Y.2060. We assume that a group of collaborative smart-objects communities can be built-up statically, dynamically, or autonomously and their process-aware goals can be specified and achieved adaptively over an IoT-based community computing environment. We also strongly expect that the proposed abstract language will deliver us a meaningful means in specifying and achieving adaptive process-aware goals of the IoT-based communities formed in a ubiquitous computing society.
本文提出了一种抽象语言,用于描述通过物联网(IoT)平台上的协作智能对象社区完成的过程感知目标。拟议的抽象语言基于过程驱动的物联网社区计算模型,该模型源自感知过程的协作和通过ITU-T SG13 Y.2060宣布的标准化物联网框架的概念集成。我们假设一组协作智能对象社区可以静态、动态或自主地构建,并且可以在基于物联网的社区计算环境中自适应地指定和实现其过程感知目标。我们也强烈期望所提出的抽象语言将为我们提供一种有意义的方法来指定和实现在无处不在的计算社会中形成的基于物联网的社区的自适应过程感知目标。
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引用次数: 0
Visual fatigue measurement model based on multi-area variance in a stereoscopy 基于立体多区域方差的视疲劳测量模型
Pub Date : 1900-01-01 DOI: 10.1109/ICACT.2016.7423569
H. Cho, Ghulam Hussain, Jin-hoon Park, Jong-Hak Kim, Jun-Dong Cho
In this paper, we propose a visual fatigue measurement model which based on multi-area variance. Existing visual fatigue measurement model focused at negative area which largely occurred visual fatigue. To make up for previous research, our method uses characteristic of depth-map image that can consider negative area and positive area. Then, we calculate variance ratio and average ratio that located at maximum variance area and minimum variance area in a depth-map image. We obtained correlation index of 87.3% from experimental results which is between Variance based on Visual Fatigue (VVF) model and Mean Opinion Score (MOS).
本文提出了一种基于多区域方差的视觉疲劳测量模型。现有的视疲劳测量模型主要集中在视觉疲劳发生的负区域。为了弥补以往研究的不足,我们的方法利用了深度图图像可以考虑负区域和正区域的特点。然后,计算深度图图像中最大方差区和最小方差区方差比和均值;实验结果表明,基于视觉疲劳(VVF)模型的方差与平均意见评分(MOS)之间的相关指数为87.3%。
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引用次数: 2
Investigation of software maintainability prediction models 软件可维护性预测模型研究
Pub Date : 1900-01-01 DOI: 10.1109/ICACT.2016.7423558
Aida Shafiabady, M. N. Mahrin, Masoud Samadi
Software must be well developed and maintainable to adapt to the constantly changing requirement of the competitive world. In this article, we distinct different software maintainability prediction models and techniques which can help us to predict the maintainability of software, and can lead us to minimum the effort required to fix the faults in the software and the software will be more maintainable. We have gathered our data from different studies focused on the accuracy of the prediction models as criteria. The results of our study showed that there is a little evidence on the accuracy results of the software maintainability prediction models.
软件必须很好地开发和维护,以适应竞争世界不断变化的需求。在本文中,我们区分了不同的软件可维护性预测模型和技术,这些模型和技术可以帮助我们预测软件的可维护性,并可以使我们最小限度地修复软件中的错误,从而使软件更具可维护性。我们从不同的研究中收集数据,重点关注预测模型的准确性作为标准。我们的研究结果表明,软件可维护性预测模型的准确性结果几乎没有证据。
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引用次数: 10
An adaptive approximation for Gaussian wavelet kernel 高斯小波核的自适应逼近
Pub Date : 1900-01-01 DOI: 10.1109/ICACT.2016.7423478
Young-Mok Ha, J. Yoon
Kernel machine plays a critical role in science community since temporal data become more important and popular with rapidly increasing big data analysis. A major problem for the machine is difficulty in constructing kernel function. We show that it is possible to adaptively estimate the parameters of Gaussian wavelet kernel in Laplace method. Our approach is constructed on an obvious fact that the gradient of the kernel with respect to a central variable of feature space becomes zero. It is remarkable that the complexity of our estimation method is O(N) for N data. In order to validate the performance of the proposed approach, we simulate two kernel regression models which exploit the proposed approach on real electricity load data from Korea power exchange and electricity consumption data from Ireland's Commission for Energy Regulation.
随着大数据分析的迅速发展,时间数据变得越来越重要和流行,核机在科学界起着至关重要的作用。该机器的一个主要问题是难以构造核函数。证明了用拉普拉斯方法自适应估计高斯小波核的参数是可行的。我们的方法是基于一个明显的事实,即核相对于特征空间的中心变量的梯度变为零。值得注意的是,对于N个数据,我们的估计方法的复杂度为O(N)。为了验证所提出方法的性能,我们模拟了两个核回归模型,这两个模型利用了韩国电力交易所的实际电力负荷数据和爱尔兰能源监管委员会的电力消耗数据。
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引用次数: 0
A dynamic variable exchange method for data-intensive workflow 数据密集型工作流的动态变量交换方法
Pub Date : 1900-01-01 DOI: 10.1109/ICACT.2016.7423465
Minjae Park, Jin Ma, Hyunah Kim, Hyun Ahn, Kwanghoon Pio Kim
In order to create or modify workflow model which is validated, it is good to support real-time trace and debug for data-intensive workflow model design tool. And, if it is possible to change variables of workflow instance, when workflow model trace or debug, it is very useful. So, we propose dynamic variables exchange method, and attempt to exchange variables on a data-intensive workflow modelling tool with visual approach.
为了创建或修改经过验证的工作流模型,数据密集型工作流模型设计工具最好支持实时跟踪和调试。并且,在工作流模型跟踪或调试时,如果可以改变工作流实例的变量,则非常有用。因此,我们提出了动态变量交换方法,并尝试在数据密集型工作流建模工具上以可视化的方式进行变量交换。
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引用次数: 0
A mechanism to access the medical information and a modeling approach for medical hazards 访问医疗信息的机制和医疗危害的建模方法
Pub Date : 1900-01-01 DOI: 10.1109/ICACT.2016.7423549
A. Shahzad, B. Khaltar, Malrey Lee, Jae-Young Choi, N. Xiong
The considerable revolution of information technology (IT) and its demands, and uses in the various parts of the human lives, such as education sectors, industrial sectors, agriculture sectors, communication sectors and others, there has also been high demands of IT in medical sectors which use to process, track and monitor the patient's information. To facilitate the medical sectors, the uses of propose study is twofold, and categorized in two phases. In first phase, the patient's real time information is carried via radio frequency identification (RFID) sensors tags and is transmitted and monitored through the uses of mobile phone, as an authorized user of monitoring system. In the second phase, the propose work is novel and is more based on the conceptual modeling, which provides the real time medical services for those patients that will have sudden illness (i.e., less major or major), and they may located at the distance placed from the main medical service station, may the distance will be in several, meters, kilometers, or a whole city. Therefore, to achieve this, a formal model will be designed which result the medical service that required by, and delivered to the remote located patients.
信息技术(IT)的巨大革命及其在教育部门、工业部门、农业部门、通信部门等人类生活的各个方面的需求和应用,也对用于处理、跟踪和监测患者信息的医疗部门的IT提出了很高的要求。为了方便医疗部门,建议研究的用途是双重的,并分为两个阶段。在第一阶段,患者的实时信息通过射频识别(RFID)传感器标签进行传输,并通过使用移动电话作为监控系统的授权用户进行传输和监控。在第二阶段,所提出的工作是新颖的,更多地基于概念建模,为突发疾病(即轻微或严重)的患者提供实时医疗服务,这些患者可能位于距离主要医疗服务站的距离,可能是几米,可能是公里,也可能是整个城市的距离。因此,为了实现这一目标,将设计一个正式的模型,以产生所需的医疗服务,并提供给偏远地区的患者。
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引用次数: 0
Joint iterative channel estimation and decoding under impulsive interference condition 脉冲干扰条件下的联合迭代信道估计与译码
Pub Date : 1900-01-01 DOI: 10.1109/ICACT.2016.7423584
Patcharin Insom, Piyakiat Insom, P. Boonsrimuang
Even though Low-Density-Parity-Check (LDPC) code which has the decoding performance close to the Shannon Limit and it is designed as a powerful forward-error-correction (FEC) code in the Additive White Gaussian Noise (AWGN) channel, simulation results show that the performance of LDPC decoder is degraded when exposed to the impulsive noise. According to such a impulsive noise impact, joint iterative channel estimation and decoding technique is proposed in this paper so as to decrease the effect of impulsive interference while less complicated in processing. The proposed methods decreases the complexity by implementing the simple way of channel estimation and applying joint iterative technique between channel estimation and LDPC decoding under two kind of impulsive noise; pulsed radio frequency interference(RFI) and symmetric alpha-stable (SαS). In the optimal decoder, channel parameter estimation can be as accurate as possible. Because computed in every time of iterative decoder, channel parameters have been always optimized resulting in the enhancement of LDPC decoder performance.
低密度奇偶校验码(LDPC)的译码性能接近香农极限,在加性高斯白噪声(AWGN)信道中被设计为一种功能强大的前向纠错码(FEC),但仿真结果表明,LDPC译码器在脉冲噪声的作用下,译码性能下降。针对这种脉冲噪声的影响,本文提出了联合迭代信道估计和译码技术,以减少脉冲干扰的影响,同时减少处理的复杂性。该方法通过实现简单的信道估计方法,并在两种脉冲噪声下采用信道估计与LDPC译码的联合迭代技术,降低了复杂度;脉冲射频干扰(RFI)和对称α稳定(s - α s)。在最优解码器中,信道参数估计尽可能准确。由于在每次迭代解码器中进行计算,信道参数一直在优化,从而提高了LDPC解码器的性能。
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引用次数: 0
期刊
2016 18th International Conference on Advanced Communication Technology (ICACT)
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