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

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Delay-dependent stability of DC Microgrid with time-varying delay 时变时滞直流微电网的时滞相关稳定性
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604946
A. Khalil, Salma Elkawafi, Anass Ibrahim Elgaiyar, Jihong Wang
In order to optimize the efficiency of renewable energy sources they are connected in a form of AC and DC Microgrids. Furthermore the increased number of DC loads has shifted the view to DC Microgrids. This paper presents the stability and maximum time delay calculation for a DC Microgrid implementing master-slave control strategy. The communication between the master and the slave is achieved through communication network which makes the DC Microgrid a time delay system. A stability criterion based on Lyapunov-Krasovskii functional and replacing the delay term by Newton-Leibnitz formula is used to derive a set of linear matrix inequalities. The binary iteration algorithm is used to solve the set of linear matrix inequalities and to calculate the maximum allowable delay bound. The effects of the voltage controller gains on the maximum allowable delay bound are also investigated. Further, the relation between the maximum allowable delay bound and the time delay variation rate is studied. The results are tested through simulation using Matlab/Simulink.
为了优化可再生能源的效率,它们以交流和直流微电网的形式连接起来。此外,直流负载数量的增加使人们将目光转向了直流微电网。本文研究了采用主从控制策略的直流微电网的稳定性和最大时延计算。通过通信网络实现主从网之间的通信,使直流微电网成为一个时延系统。采用基于Lyapunov-Krasovskii泛函的稳定性判据,用Newton-Leibnitz公式代替时滞项,导出了一组线性矩阵不等式。采用二元迭代算法求解线性矩阵不等式集,并计算最大允许延迟界。研究了电压控制器增益对最大允许延迟界的影响。进一步研究了最大允许时延界与时延变化率的关系。结果通过使用Matlab / Simulink仿真测试。
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引用次数: 10
A fuzzy multi-objective approach for a meat supply chain design 肉类供应链设计的模糊多目标方法
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604897
A. Mohammed, Qian Wang
The global demand of food may be doubled by 2050 making food supply chains as one of the largest sectors in economy. Thus, a robust design of a food supply chain network is essential for a success in a competitive market and this has been increasingly becoming one of major issues for decision makers in supply chain sectors. This article presents a multi-objective model for solving an issue of a three-echelon meat supply chain (MSC) design and its distribution problem. The objectives of the developed model are aimed at minimizing the total transportation cost and CO2 emissions, and maximizing the average delivery rate in satisfying product quantity as requested by abattoirs and retailers. Furthermore, the model is formulated in terms of a fuzzy multi-objective linear programming model (FMOLPM) to handle the uncertainties associated with costs and demands in product quantity within the considered MSC. To optimize the three objectives under varying conditions, two solution methods were investigated and used. These include the method of LP-metrics and the method of ε-constraint in order to compare the obtained Pareto solutions. The best solution was determined using the Max-Min method. Computational results demonstrate the effectiveness of the developed model that helps tackle a number of issues for a meat supply chain design.
到2050年,全球粮食需求可能翻一番,使粮食供应链成为经济中最大的部门之一。因此,食品供应链网络的稳健设计对于在竞争激烈的市场中取得成功至关重要,这已日益成为供应链部门决策者的主要问题之一。本文提出了一个多目标模型,用于解决三级肉类供应链的设计和分配问题。所开发模型的目标是最小化总运输成本和二氧化碳排放量,并在满足屠宰场和零售商要求的产品数量的情况下最大化平均交货率。此外,该模型采用模糊多目标线性规划模型(FMOLPM)来处理与成本和产品数量需求相关的不确定性。为了在不同条件下优化这三个目标,研究并使用了两种求解方法。这些方法包括lp -度量法和ε-约束法,以便比较得到的Pareto解。采用Max-Min法确定最佳解。计算结果证明了所建立模型的有效性,该模型有助于解决肉类供应链设计中的一些问题。
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引用次数: 0
Realization of wearable sensors-based human activity recognition with an augmented feature group 基于可穿戴传感器的增强特征组人体活动识别的实现
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604965
Yan Wang, S. Cang, Hongnian Yu
Feature extraction is a critical stage in human activity recognition. The information carried in features directly affects the classification performance. This paper explores a new group of features for activity recognition, which have not been broadly applied in previous works in this field. The newly introduced features are related to the attitude of the on-body devices, being extracted from both time-domain and frequency-domain. Based on the collected data, we implemented certain standard data mining techniques, e.g., the Minimum-Redundancy-Maximum-Relevance (mRMR) algorithm for feature selection, and Support Vector Machine (SVM) for classification, to evaluate the performance of the hypothesis. The comparison studies suggest the augmented features perform better than the commonly used features, giving a higher recognition accuracy of 93.46%. Exploring new features without adding more sensors, while improving the accuracy significantly, enables an efficient extraction of features from limited availability of sensors.
特征提取是人体活动识别的关键环节。特征所携带的信息直接影响分类性能。本文探索了一组新的特征用于活动识别,这些特征在该领域以前的工作中没有得到广泛的应用。新引入的特征与体上器件的姿态有关,分别从时域和频域提取。基于收集到的数据,我们实现了一些标准的数据挖掘技术,例如,用于特征选择的最小冗余-最大相关性(mRMR)算法和用于分类的支持向量机(SVM),以评估假设的性能。对比研究表明,增强特征比常用特征表现更好,识别准确率达到93.46%。在不增加更多传感器的情况下探索新特征,同时显著提高精度,能够从有限的可用传感器中有效地提取特征。
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引用次数: 4
Optimization scheduling model based on source-load-energy storage coordination in power systems 基于源-负荷-储能协调的电力系统优化调度模型
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604905
Yaowang Li, S. Miao, Xing Luo, Jihong Wang
To improve the wind power and photovoltaic power accommodation rate and reduce the power system operation costs, this paper considers thermal power units, price-based demand response (DR) and battery energy storage system (BESS) as scheduling resources and establishes an optimization scheduling model based on source, load and energy storage coordination. A two stages optimization method is proposed in order to minimize the system operational costs including thermal power units operation cost, wind power and photovoltaic power curtailment cost and price-based DR scheduling costs. The first stage optimization uses binary particle swarm optimization algorithm (BPSO) to minimize the sum of wind power and photovoltaic power curtailment cost and thermal power units start-up cost. Based on the optimization results at the first stage, the second stage optimization uses double layers' continuous particle swarm optimization (CPSO) algorithm to minimize the sum of price-based DR scheduling cost and fuel consumption cost. The simulation results verify the feasibility and effectiveness of this optimization scheduling model.
为提高风电和光伏发电的调节率,降低电力系统运行成本,本文将火电机组、基于价格的需求响应(DR)和电池储能系统(BESS)作为调度资源,建立了基于源、负荷和储能协调的优化调度模型。以火电机组运行成本、风电和光伏弃电成本以及基于价格的DR调度成本为目标,提出了一种两阶段优化方法。第一阶段优化采用二元粒子群优化算法(BPSO)使风电、光伏弃电成本和火电机组启动成本之和最小。在第一阶段优化结果的基础上,第二阶段优化采用双层连续粒子群优化(CPSO)算法,使基于价格的DR调度成本与燃料消耗成本之和最小。仿真结果验证了该优化调度模型的可行性和有效性。
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引用次数: 8
Observer-based output feedback control of sampled-data system under stochastic sampling 随机抽样下基于观测器的采样数据系统输出反馈控制
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604969
Haoyuan Sun, Jian Sun, Jie Chen, Jun-Wei Jin
This paper is concerned with output feedback stabilization problem for a class of sampled-data systems under stochastic sampling. Different from the existing results, a systems matrix A whose eigenvalues contain zero is allowed. By combining the Kronecker product operation with the Vandermonde matrix, a sufficient condition is developed to guarantee the stochastic stability of the closed-loop system. Based on linear matrix inequality (LMI) and a cone complementarity linearization algorithm, a method of designing an observer-based output feedback controller for the system is given. Finally, a simulation example is given to show the effectiveness of the proposed method.
研究了一类随机抽样数据系统的输出反馈镇定问题。与已有的结果不同,允许存在特征值为零的系统矩阵a。将Kronecker积运算与Vandermonde矩阵相结合,给出了保证闭环系统随机稳定的充分条件。基于线性矩阵不等式和锥互补线性化算法,给出了一种基于观测器的输出反馈控制器的设计方法。最后,通过仿真实例验证了该方法的有效性。
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引用次数: 2
Complete parametric approach for eigenstructure assignment in second-order systems using displacement-plus-acceleration feedback 利用位移加加速度反馈的二阶系统特征结构分配的完全参数方法
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604915
D. Gu, Dejiang Zhao, Yindong Liu, Yanming Fu
This paper proposes a complete parametric approach for eigenstructure assignment in second-order system Mq̈+Dq̇+Kq=Cu using the displacement-plus-acceleration feedback controller. The expressions of closed-loop eigenvector matrix and feedback gains are in direct closed forms in terms of the closed-loop eigenvalues and a group parameter vectors, which represents the degree of design freedom. The main advantage of the proposed method is solved directly in matrix second-order framework, without transformation into the first-order form, and the numerical stability is better because it used only right coprime factorization and simple matrix transformation. The proposed algorithm is simple and does not contain `go back' procedures. Finally, computational results show its effect and simplicity.
利用位移-加速度反馈控制器,提出了二阶系统Mq +Dq +Kq=Cu特征结构分配的全参数化方法。闭环特征向量矩阵和反馈增益以闭环特征值和一组参数向量的直接封闭形式表示,参数向量表示设计自由度。该方法的主要优点是直接在矩阵二阶框架中求解,不需要转换成一阶形式,并且由于只使用了正确的素数分解和简单的矩阵变换,因此具有较好的数值稳定性。所提出的算法简单,不包含“返回”过程。最后,计算结果表明了该方法的有效性和简单性。
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引用次数: 6
Research on the micro-interactive interface design of intelligent washing machines in IOT environment 物联网环境下智能洗衣机微交互界面设计研究
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604966
Daoyi Wu
With the rapid development of IOT and artificial intelligence technologies, an intelligent washing machines will be able to have a sensitive induction, an intelligent control system and a natural interaction way. This paper presents an interface design strategy with better interface color screen sensory experience, fully touch-enabled interaction, mobile intelligent terminal system service and interface information logic to realize the micro-interaction between the end users and the user interface of intelligent washing machines. The paper concludes with the remarks on the development trend for futuristic smart home ecosystem.
随着物联网和人工智能技术的快速发展,智能洗衣机将具有敏感感应、智能控制系统和自然交互方式。本文提出了一种更好的界面彩屏感官体验、全触控交互、移动智能终端系统服务和界面信息逻辑的界面设计策略,实现终端用户与智能洗衣机用户界面的微交互。最后对未来智能家居生态系统的发展趋势进行了展望。
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引用次数: 4
Dynamic decoupling control strategy for 6-DOF motion simulator based on singular value decomposition 基于奇异值分解的六自由度运动模拟器动态解耦控制策略
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604917
Liyi Yin, Chifu Yang, Changhong Gao, D. Cong, Junwei Han
The strong dynamic coupling exists in each channel of 6-DOF motion simulator. Aiming at this problem, singular value decomposition is used to transform coupling physical space to decoupling space of motion simulator. PID controller of decoupling space for each channel of motion simulator is designed, which realizes dynamic decoupling of motion simulator and optimal regulation of control parameter of each channel. The experiment results verify the effectiveness of the proposed dynamic decoupling control strategy.
六自由度运动模拟器的各通道存在强动态耦合。针对这一问题,采用奇异值分解将运动模拟器的耦合物理空间转化为解耦空间。设计了运动模拟器各通道解耦空间PID控制器,实现了运动模拟器的动态解耦和各通道控制参数的最优调节。实验结果验证了所提动态解耦控制策略的有效性。
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引用次数: 0
A new seismic data visualization method 一种新的地震数据可视化方法
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604964
Lei Chen, Jing Yu, A. Ditta, Chuangbai Xiao, Xueliang Li, Zhenli Wang
Accurate seismic data visualization is of paramount importance for seismic interpretation such that reservoir quality can be predicted precisely and oil or gas resources can be evaluated truthfully. For micro geological structure in seismic data, due to the variable geometric attribute, smaller size and significant role, seismic data visualization presents an intriguing problem. Existing approaches are limited to provide strong ability to visualize macro geological structure. Although some previous works can reveal micro geological structure to some extent in 3D, the contrast ratio is low and saw tooth still exists on dip horizon top. In this paper, we focus on the seismic data's coloring and tessellation. We discover that the contrast ratio is higher if the color component of the palette is filled exponentially. We further find that tessellate each seismic point according to its dip style can eliminate saw tooth on dip horizon top further. Based on these findings, we propose a novel method, referred to as a new seismic data visualization method, to visualize the seismic data in 3D. Experimental results based on real seismic data show that the proposed method presents high contrast ratio and the saw tooth on dip horizon top is eliminated more thoroughly.
准确的地震数据可视化对地震解释具有重要意义,可以准确预测储层质量,真实评价油气资源。对于地震数据中的微观地质构造,由于其几何属性多变、体积小、作用重大,地震数据可视化是一个令人感兴趣的问题。现有的方法对宏观地质构造的可视化能力有限。虽然以前的一些作品可以在一定程度上三维揭示微观地质构造,但在倾斜层顶对比度较低,仍存在锯齿现象。本文主要研究地震数据的着色和镶嵌。我们发现,如果调色板的颜色成分呈指数填充,则对比度更高。进一步发现,将各震点按其倾角样式进行细分,可以进一步消除倾角层顶的锯齿现象。在此基础上,我们提出了一种新的地震数据可视化方法,即新的地震数据可视化方法。基于实际地震数据的实验结果表明,该方法具有较高的对比度,能较好地消除倾斜层顶的锯齿现象。
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引用次数: 2
Fingerprint authentication and security risks in smart devices 智能设备指纹认证与安全风险
Pub Date : 2016-09-01 DOI: 10.1109/IConAC.2016.7604977
Muhammad Rehman Zafar, M. A. Shah
The smartphone market is growing rapidly and enriching our digital lives by instant of information sharing. As smartphone devices contain sensitive data of users, it is very essential to protect this information efficiently. To fulfill this, modern smartphones are adopting fingerprint scanners for biometric authentication. Fingerprint biometric authentication is simple and quick, however, it is vulnerable to attacks as hackers can steel fingerprint biometric data. Therefore, a consistent fingerprint biometric authentication mechanism is required to protect personal information of the user as well as biometrics data. In this paper, we will analyze different attacks and security risks associated with fingerprint authentication. Previously, there are eight levels of attacks studied to compromise biometric data. Here, we propose two additional levels of attacks to provide a more robust mechanism to deal with security vulnerabilities in future.
智能手机市场发展迅速,通过即时信息共享丰富了我们的数字生活。由于智能手机设备包含用户的敏感数据,因此有效地保护这些信息非常重要。为了实现这一点,现代智能手机正在采用指纹扫描仪进行生物识别认证。指纹生物识别认证简单快捷,但黑客可以窃取指纹生物识别数据,因此很容易受到攻击。因此,需要一个一致的指纹生物特征认证机制来保护用户的个人信息和生物特征数据。在本文中,我们将分析与指纹认证相关的各种攻击和安全风险。在此之前,研究人员研究了八个级别的攻击来破坏生物识别数据。在这里,我们提出了两个额外的攻击级别,以提供一个更健壮的机制来处理将来的安全漏洞。
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引用次数: 16
期刊
2016 22nd International Conference on Automation and Computing (ICAC)
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