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2016 22nd International Conference on Automation and Computing (ICAC)最新文献

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The framework for efficient passphrase-based multifactor authentication in cloud computing 云计算中基于密码短语的高效多因素身份验证框架
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604891
Faisal Rehman, Sanagoo Akram, M. A. Shah
Cloud computing has quickly become one of the top innovations in the information technology world due to its benefits in terms of costs, flexibility, accessibility, availability, increased throughput and the ease of use. However, it faces major security issues and challenges that must be addressed and investigated. Due to its expansion on a very large scale, many potential users are facing threats of data protection and privacy. In this paper, we discuss the major authentication frameworks in cloud computing environment and provide analysis of different authentication models in cloud computing.
由于云计算在成本、灵活性、可访问性、可用性、增加的吞吐量和易用性方面的优势,它已迅速成为信息技术领域的顶级创新之一。但也面临重大安全问题和挑战,必须加以解决和研究。由于其非常大规模的扩张,许多潜在用户面临着数据保护和隐私的威胁。本文讨论了云计算环境下主要的认证框架,并对不同的认证模型进行了分析。
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引用次数: 5
Understanding software reengineering requirements for cloud-oriented service architecture 了解面向云的服务架构的软件再造需求
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604893
S. Zheng, Xin Zuo, Hualong Yu, Hongji Yang, Jifeng Shen
In the emerging cloud computing and services computing era, technology advancements enable the sharing of unlimited resources, the usage of services without ownership, and composition of services on demand. Besides these desired features of IT services provisioning, system reliability, data security, user's privacy are also highly concerned on the cloud. This paper aims to analyse the reengineering requirements of general cloud computing users, and the strategic implications of the current delivery models and deployment models. We adopt the modelling notation of the i* framework and the general cost-benefit analysis annotations, to form an approach that is generally applicable to understand a possible computing paradigms shift. The approach also lays out how different users can make strategic decisions for cloud architecture based on the concrete context. An example software application is used to illustrate the proposed approach.
在新兴的云计算和服务计算时代,技术的进步使无限的资源共享、无所有权的服务使用和按需服务组合成为可能。除了这些IT服务提供所需的功能外,云上的系统可靠性、数据安全性、用户隐私也受到高度关注。本文旨在分析一般云计算用户的再造需求,以及当前交付模型和部署模型的战略含义。我们采用i*框架的建模符号和一般的成本效益分析注释,形成一种通常适用于理解可能的计算范式转变的方法。该方法还展示了不同的用户如何根据具体的上下文为云架构制定战略决策。通过一个软件应用实例来说明所提出的方法。
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引用次数: 0
The application of BPNN based on improved PSO in main steam temperature control of supercritical unit 基于改进粒子群算法的bp神经网络在超临界机组主汽温控制中的应用
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604916
Yuzhen Sun, Jiang Gao, H. Zhang, D. Peng, Liqin
In a supercritical power plant, large inertia, large delay and non-linear are the big challenges for main steam temperature control. An intelligent PID cascade control system with a BP Neural Network (BPNN) is proposed in this paper to solve this issue, which is based on the algorithm of improved Particle Swarm Optimization(PSO). In this system, the parameters of PID controller are adjusted online by BPNN, whose initial weight value is optimized by PSO algorithm, meanwhile the PSO method is also improved by Simulated Annealing (SA) algorithm which can get rid of local extreme point, accelerate the convergence speed and improve precision. Simulation result shows that the control quality and robustness of the system is significantly improved comparing with the conventional PID cascade control system.
在超临界电厂中,大惯性、大延迟和非线性是主蒸汽温度控制的一大挑战。为了解决这一问题,本文提出了一种基于改进粒子群优化算法的BP神经网络(BPNN)智能PID串级控制系统。该系统利用BPNN在线调整PID控制器参数,并利用粒子群算法优化初始权值,同时利用模拟退火(SA)算法对粒子群算法进行改进,消除了局部极值点,加快了收敛速度,提高了精度。仿真结果表明,与传统的PID串级控制系统相比,该系统的控制质量和鲁棒性得到了显著提高。
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引用次数: 3
Critical analysis of the eigenfilter method for the design of FIR filters and wideband beamformers 特征滤波器法在FIR滤波器和宽带波束形成器设计中的关键分析
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604970
Ahsan Raza, W. Liu
The least squares based eigenfilter method has been applied to the design of both finite impulse response (FIR) filters and wideband beamformers successfully. It involves calculating the resultant filter coefficients as the eigenvector of an appropriate Hermitian matrix, and offers lower complexity and less computation time with better numerical stability as compared to the standard least squares method. In this paper, we revisit the method and critically analyze the eigenfilter approach by revealing a serious performance issue in the passband of the designed FIR filter and the mainlobe of the wideband beamformer, which occurs due to a formulation problem. A solution is then proposed to mitigate this issue, and design examples for both FIR filters and wideband beamformers are provided to demonstrate the effectiveness of the proposed method.
基于最小二乘的特征滤波器方法已成功地应用于有限脉冲响应滤波器和宽带波束形成器的设计。与标准最小二乘法相比,该方法的复杂度更低,计算时间更短,并且具有更好的数值稳定性。在本文中,我们通过揭示设计的FIR滤波器的通带和宽带波束形成器的主瓣中由于公式问题而出现的严重性能问题,重新审视了该方法并批判性地分析了特征滤波器方法。然后提出了一种解决方案来缓解这个问题,并提供了FIR滤波器和宽带波束形成器的设计示例来证明所提出方法的有效性。
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引用次数: 2
A Majority Voting Goal Based technique for Requirement Prioritization 基于多数投票目标的需求优先级划分技术
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604958
R. M. Liaqat, Mudassar Adeel Ahmed, F. Azam, Bilal Mehboob
Requirement prioritization (RP) plays an important role in software development phases. There are many techniques which are used for RP. By using these techniques, at time, specific goals of developed system also required to be fine-tuned. Sometimes we have a deadlock situation in RP and it's necessary to select only those requirements which are relatively more appropriate to satisfy the specific goals. In this paper we are proposing a novel technique, namely: Majority Voting Goal Based (MVGB) technique for RP. The proposed technique manages the deadlock situation that may occur while satisfying the most appropriate stakeholders' requirements for achieving specific goals.
需求优先级(RP)在软件开发阶段起着重要的作用。有许多技术用于RP。通过使用这些技术,有时还需要对开发系统的特定目标进行微调。有时我们在RP中会遇到僵局,有必要只选择那些相对更适合满足特定目标的需求。在本文中,我们提出了一种新的RP技术,即基于多数投票目标(MVGB)技术。建议的技术管理在满足最合适的涉众实现特定目标的需求时可能发生的死锁情况。
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引用次数: 8
Off-line signature verification based on a new symbolic representation and dynamic time warping 基于新的符号表示和动态时间规整的离线签名验证
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604903
Xinxin Yao, Hua-Liang Wei
Handwritten signature verification is a classical technology. Which uses features extracted from signatures. The purpose of signature verification is to identify whether a testing signature image is the same as a template. In this study, a new off-line signature verification method based on symbolic representation and dynamic time warping is proposed. In the proposed symbolic representation, the distances between symbols are defined according to the average value of each segment rather than the distance calculated based on Gaussian distribution, which is used in traditional symbolic representations. The proposed dynamic time warping (DTW) method is used to detect the optimal path and an optimal verification result can then be obtained by comparing the fitting errors of all matching paths. To demonstrate the performance the proposed approach, the following experiment is carried out: firstly, a signature image was created by a person and this is used as the template. Secondly, a total of 100 signature images written by the same person were collected, and the false rejected rate (FRR) and false acceptance rate (FAR) are calculated using the proposed method. Thirdly, a total of 100 signature images written by 100 different people were collected, based on which the false acceptance rate is calculated. The experimental results show that the performance of the proposed method is very promising, and the FRR and FAR values for the two group tests are 3% and 2% respectively.
手写签名验证是一种经典的技术。它使用从签名中提取的特征。签名验证的目的是识别测试签名图像是否与模板相同。本文提出了一种基于符号表示和动态时间规整的离线签名验证方法。在本文提出的符号表示中,符号之间的距离是根据每段的平均值来定义的,而不是传统符号表示中基于高斯分布计算的距离。采用动态时间翘曲(DTW)方法检测最优路径,通过比较所有匹配路径的拟合误差得到最优验证结果。为了验证所提方法的性能,我们进行了以下实验:首先,由一个人创建一个签名图像并将其作为模板。其次,收集同一人所写的签名图像共100张,利用该方法计算签名图像的误拒率(FRR)和误接受率(FAR);第三,收集100个人的100张签名图像,以此为基础计算误接受率。实验结果表明,该方法性能良好,两组测试的FRR和FAR值分别为3%和2%。
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引用次数: 7
Simulation based evaluation of DDH-MAC protocol for Cognitive Radio Networks 认知无线网络中基于仿真的DDH-MAC协议评估
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604972
Muhammad Salman, Muhammad Asif Aziz, M. A. Shah
Cognitive Radio (CR) has emerged as an intelligent technology to deal with spectrum scarcity. This research aims to simulate our already published research paper “DDH-MAC: A novel Dynamic De-Centralized Hybrid MAC protocol for Cognitive Radio Networks”. We have assessed the efficiency of the protocol by using a network simulation tool, OPNET 14.5 modeler. The simulation results were then compared with CREAM-MAC and F2-MAC protocols, and a comparative analysis have been evaluated and discussed. We show that the DDH-MAC protocol provides efficiency in time and energy which are the core objective features of CR Ad-hoc networks. Moreover, we also found that the delay of DDH-MAC could be reduced to much extent by increasing the DSSS data rate in physical characteristics.
认知无线电(CR)作为一种解决频谱短缺的智能技术应运而生。本研究旨在模拟我们已经发表的研究论文“DDH-MAC:一种用于认知无线网络的新型动态去中心化混合MAC协议”。我们使用网络仿真工具OPNET 14.5 modeler评估了该协议的效率。将仿真结果与CREAM-MAC协议和F2-MAC协议进行了比较,并对对比分析进行了评价和讨论。我们证明了DDH-MAC协议在时间和能量上提供了效率,这是CR自组织网络的核心目标特征。此外,我们还发现,在物理特性上提高DSSS数据速率可以在很大程度上降低DDH-MAC的延迟。
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引用次数: 2
A computational intelligence based dislocation recognition during molecular dynamics simulation 分子动力学模拟中基于计算智能的位错识别
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604923
Jianfeng Huang, D. Mcglinchey, Yuanxin Luo, Yi Chen
Dislocation evolution in metal is the majority response of external stress or strain during the deformation. In this paper, a computational intelligence aided dislocation recognition algorithm which is integrated in a molecular dynamics simulation is proposed. This algorithm is inspired by genetic algorithm(GA) and follows the main GA process in which the initial population is the disperse nodes set and is under the select, crossover to evolve the new generation of nodes set. Finally, two examples of the dislocation recognition during fatigue simulation by using this algorithm is provided with good result when comparing with the traditional MD post process method.
变形过程中,金属的位错演化是外部应力或应变的主要响应。本文提出了一种结合分子动力学模拟的计算智能辅助位错识别算法。该算法受遗传算法(GA)的启发,遵循遗传算法的主要过程,即初始种群为分散节点集,在选择、交叉下进化新一代节点集。最后,将该算法应用于疲劳仿真中的两个错位识别实例,与传统的MD后处理方法进行了比较,取得了较好的结果。
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引用次数: 1
Survey on security threats of smartphones in Internet of Things 物联网中智能手机的安全威胁调查
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604979
M. Khan, M. A. Shah
Internet of Things (IoT) is an emerging concept which will interconnect billions of devices (such as smartphones, sensors and other networking devices), to communicate with each other. This interconnection of devices can be beneficial in many ways such as improving location based services and timely coordination. However, this also impose severe security concerns specially on smartphones which contains sensitive data. In this paper, we provide a comprehensive analysis of different security issues in smartphones which are integral part of IoT. We provide an easy and concise overview of different security threats. Our categorization helps in identifying specific security breach and applying relevant countermeasures.
物联网(IoT)是一个新兴概念,它将连接数十亿设备(如智能手机、传感器和其他网络设备),以相互通信。这种设备互连在许多方面都是有益的,例如改进基于位置的服务和及时协调。然而,这也带来了严重的安全问题,特别是对于包含敏感数据的智能手机。在本文中,我们对智能手机中的不同安全问题进行了全面分析,智能手机是物联网的组成部分。我们简单扼要地概述了不同的安全威胁。我们的分类有助于识别特定的安全漏洞并应用相关的对策。
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引用次数: 17
Application of Evidential Reasoning rules to identification of asthma control steps in children 证据推理规则在儿童哮喘控制步骤识别中的应用
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604960
Huaying Zhu, Jianbo Yang, Dongling Xu, Cong Xu
The UK is one of these countries in Europe, which have the highest death rate from asthma, and the rules to identify asthma control steps are vague in the current official guideline of asthma management. In this research, diagnosis rules on asthma control steps are developed to supplement the current guideline and to assist patients to monitor and manage their asthma on daily basis. The main challenge of developing the rules is missing values. Although the data examined have prodigious volumes of records for patients, no one have all and different patients have different information recorded. The large proportion of missing values lead to comparatively limited powers of some techniques like Decision Tree Analysis, Logistic Regression, ANN, Bayes' Rule and SVM. This research explores the Evidential Reasoning (ER) rule to develop prognostic rules for asthma control steps. ER is prior-free probabilistic inference and has not been applied to disease diagnosing and monitoring. The results are represented as probability distributions on asthma control steps given any combination of evidence, even if some combinations are not recorded in the current database. In practice, it could help clinicians to identify asthma control steps of patients, prescribe corresponding treatments, and monitor the effectiveness of the treatment and the progress of patients in asthma control management.
英国是欧洲哮喘死亡率最高的国家之一,在目前的官方哮喘管理指南中,确定哮喘控制步骤的规则是模糊的。本研究拟制定哮喘控制步骤诊断规则,以补充现有指南,协助患者对哮喘进行日常监测和管理。制定规则的主要挑战是缺少价值。尽管所检查的数据有大量的患者记录,但没有人拥有所有的记录,不同的患者记录的信息也不同。缺失值的比例很大,导致决策树分析、逻辑回归、人工神经网络、贝叶斯规则和支持向量机等技术的能力相对有限。本研究探讨证据推理(ER)规则,以制定哮喘控制步骤的预后规则。ER是一种无先验的概率推理,尚未应用于疾病的诊断和监测。结果表示为给定任何证据组合的哮喘控制步骤的概率分布,即使某些组合未记录在当前数据库中。在实践中,它可以帮助临床医生识别患者的哮喘控制步骤,开出相应的治疗方案,并监测治疗效果和患者在哮喘控制管理中的进展。
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引用次数: 4
期刊
2016 22nd International Conference on Automation and Computing (ICAC)
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