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2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)最新文献

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Detection and identification of ferroresonance 铁磁共振的检测与鉴定
Heba Abu Sharbain, A. Osman, A. El-Hag
This paper presents an artificial intelligent based method to detect ferroresonance. The proposed detection method utilizes wavelet transform combined with artificial neural network to detect ferroresonance. Using this method, ferroresonance can be identified and differentiated. The results show that the proposed procedure is effective in identifying ferroresonance from other transients such as capacitor switching. Moreover, they indicate that the used neural network model has an acceptable precision in the recognition of ferroresonance and by adjusting the right parameters, the highest precision is achieved.
提出了一种基于人工智能的铁磁共振检测方法。该检测方法利用小波变换结合人工神经网络对铁磁共振进行检测。利用该方法可以识别和区分铁磁共振。结果表明,该方法可以有效地从电容开关等瞬变中识别铁磁谐振。结果表明,所使用的神经网络模型在铁共振识别中具有可接受的精度,并且通过调整适当的参数可以达到最高的精度。
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引用次数: 8
A framework for collaborative cloud-based fault detection and diagnosis in smart buildings 智能建筑中基于云的协同故障检测与诊断框架
S. Lazarova-Molnar, N. Mohamed
The potential for saving on energy related cost with timely and accurate Fault Detection and Diagnosis (FDD) in Building Management Systems (BMS) has been estimated to ca. 15–30% of the overall building energy-related cost. Due to the expansion of well-equipped smart buildings that feature multitudes of sensors and meters that enable collection of large amounts of data, FDD data-based methods have become very popular. Sensor and meter data, however, have been found as insufficient for FDD purposes, and it needs to be complemented with event/fault data that is more difficult to obtain. To account for the unavailability of event/fault data, BMS can benefit from sharing each other's data and utilize it for collaborative FDD. To support collaborative FDD and sharing of data, we rely on cloud computing. In this paper we present a framework for collaborative FDD of smart buildings that utilizes cloud computing and enables BMS to share and benefit from each other's data.
据估计,楼宇管理系统若能及时及准确地侦测及诊断楼宇故障,可节省约15%至30%的楼宇能源成本。由于设备齐全的智能建筑的扩展,具有大量传感器和仪表,可以收集大量数据,基于FDD数据的方法已经变得非常流行。然而,已经发现传感器和仪表数据不足以用于FDD目的,并且需要用更难获得的事件/故障数据进行补充。为了解释事件/故障数据的不可用性,BMS可以从共享彼此的数据中获益,并将其用于协作FDD。为了支持协作式FDD和数据共享,我们依靠云计算。在本文中,我们提出了一个利用云计算的智能建筑协同FDD框架,使BMS能够共享彼此的数据并从中受益。
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引用次数: 12
Modeling and simulation of bond-slip behavior of Aluminum Alloy plates adhesively bonded to concrete 铝合金板与混凝土粘接粘结滑移行为建模与仿真
A. Mirghani, Jamal A. Abdalla, R. Hawileh
External bonding of steel, fiber reinforced polymers (FRP) and other materials has proven its reliability and effectiveness in strengthening deteriorated reinforced concrete (RC) structures. However, due to some shortcomings of these conventional materials, researchers are seeking new strengthening materials. This paper explores the use of Aluminum Alloy (AA) plates as a newly strengthening material. The bond between the strengthening material and the strengthened one is the most important factor in the success of the strengthening process. Therefore, the main objective of this paper is to model and simulate the behavior of bond stress-slip between AA plate and concrete surface. A finite element model for a single shear test has been developed and the results were compared to the experimental results. The bonded length of the AA plate is taken as 200 mm which represents 80% of the concrete prism length. It was observed that the bond stress, loading capacity and failure modes of AA were comparable with those of CFRP plates. This validates that AA plates can be used with confidence as externally bonded reinforcement EBR material.
钢、纤维增强聚合物(FRP)和其他材料的外粘接已被证明是加固劣化钢筋混凝土(RC)结构的可靠和有效方法。然而,由于这些传统材料的一些缺点,研究人员正在寻找新的增强材料。本文探讨了铝合金(AA)板作为一种新型强化材料的应用。强化材料与被强化材料之间的粘结是强化过程成功与否的最重要因素。因此,本文的主要目的是模拟和模拟AA板与混凝土表面之间的粘结应力-滑移行为。建立了单次剪切试验的有限元模型,并与试验结果进行了比较。AA板的粘结长度取200mm,占混凝土棱镜长度的80%。结果表明,AA板的粘结应力、承载能力和破坏模式与CFRP板相当。这验证了AA板可以放心地用作外部粘合增强EBR材料。
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引用次数: 6
Parallel implementation for deriving preset distinguishing experiments of nondeterministic finite state machines 非确定性有限状态机预设判别实验的并行实现
A. Haddad, K. El-Fakih, G. Barlas
Derivation of input sequences for distinguishing states of a finite state machine (FSM) specification is well studied in the context of FSM-based functional testing. We present a parallel multithreaded implementation of the exact algorithm using Open Multi-Processing (OpenMP). Experiments are conducted to assess the performance of the parallel implementation as compared to the sequential implementation using both execution time speedup and efficiency.
在基于有限状态机的功能测试中,对有限状态机(FSM)规范中用于区分状态的输入序列的推导进行了深入的研究。我们提出了一个使用开放多处理(OpenMP)的并行多线程实现精确算法。通过实验来评估并行实现与顺序实现相比在执行时间加速和效率方面的性能。
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引用次数: 4
Comparison of Xpert MTB/RIF and GenoType MTBDRplus for rapid diagnosis of tuberculosis Xpert MTB/RIF与基因型MTBDRplus在结核病快速诊断中的比较
Urvah Shabbir, B. Wajid, Sana Akhtar
Xpert MTB/RIF (Cepheid) and GenoType MTBDRplus (Hain Lifescience) are two widely used tests for rapid diagnosis of tuberculosis. The aim of this study is to compare Xpert MTB/RIF and GenoType MTBDRplus to determine overall accuracy of diagnosis using these two tests. Based on search on PubMed, Embase and Google Scholar databases, publications were identified that compared Xpert MTB/RIF and GenoType MTBDRplus on the same dataset. A total of 6 studies with 4921 specimens were selected. Based on sensitivity and specificity, a pooled estimation of diagnostic odd ratio (DOR) and area under summary ROC curve (AUC) was calculated based on Random-Effect model. Both assays showed encouraging results for tuberculosis diagnosis but Xpert MTB/RIF depicted slightly better results based on recent studies.
Xpert MTB/RIF(造父变星)和基因型MTBDRplus (Hain Lifescience)是两种广泛用于结核病快速诊断的检测方法。本研究的目的是比较Xpert MTB/RIF和基因型MTBDRplus,以确定使用这两种检测的总体诊断准确性。通过对PubMed、Embase和Google Scholar数据库的检索,确定了在同一数据集上比较Xpert MTB/RIF和GenoType MTBDRplus的出版物。共选择6项研究,4921例标本。基于敏感性和特异性,基于随机效应模型计算诊断奇比(DOR)和汇总ROC曲线下面积(AUC)的合并估计。两种检测方法都显示了令人鼓舞的结核病诊断结果,但根据最近的研究,Xpert MTB/RIF描述的结果略好一些。
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引用次数: 0
A few properties of circulant graphs: Self-complementary, isomorphism, Cartesian product and factorization 循环图的几个性质:自互补、同构、笛卡尔积和分解
V. Vilfred
We present different properties of circulant graphs that includes (i) On the existence of self-complementary circulant graphs; (ii) Type-2 isomorphism, a new type of isomorphism other than already known Adam's isomorphism of circulant graphs and new abelian groups; (iii) Cartesian product and factorization of circulant graphs similar to the theory of product and factorization of natural numbers.
我们给出了循环图的不同性质,包括(1)关于自补循环图的存在性;(ii) 2型同构,是除已知的循环图和新阿贝尔群的亚当同构之外的一种新的同构;(3)循环图的笛卡尔积和分解,类似于自然数的积和分解理论。
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引用次数: 4
Visual human action classification for control of a passive walker 被动行走器控制的视觉动作分类
S. Taghvaei, Y. Hirata, K. Kosuge
Human action/behavior classification plays an important role for controlling systems having interaction with human users. Safety and dependability of such systems are crucial especially for walking assist systems. In this paper, upper body joint model of a user of a walking assist system is extracted using a depth sensor and a probabilistic model is proposed to detect possible non-walking states that might happen to the user. The 3D model of upper body skeleton, is reduced in dimension by applying Principal Component Analysis (PCA). The principal components are tested to have a normal distribution allowing a multivariate normal distribution fitting for walking data. The model is shown to be capable of recognizing four different falling scenarios and sitting. In these non-walking states, the motion of a passive-type walker called “RT Walker”, is controlled by generating brake force to assure fall prevention and sitting/standing up support. The experimental data is gathered from an experienced physical therapist capable of imitating different walking problems.
人类行为分类对于控制与人类用户交互的系统起着重要的作用。这些系统的安全性和可靠性是至关重要的,尤其是行走辅助系统。本文利用深度传感器提取了行走辅助系统用户的上肢关节模型,并提出了一种概率模型来检测用户可能出现的非行走状态。采用主成分分析(PCA)对人体上半身骨骼三维模型进行降维处理。主成分经检验为正态分布,允许多变量正态分布拟合行走数据。该模型被证明能够识别四种不同的摔倒和坐姿。在这些非行走状态下,被称为“RT walker”的被动型助行器的运动通过产生制动力来控制,以确保防止跌倒和坐/站支撑。实验数据是从一位经验丰富的物理治疗师那里收集的,他能够模仿不同的行走问题。
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引用次数: 6
Data aggregate point placement for smart grid with joint consideration of communication and power networks 综合考虑通信网和电网的智能电网数据集点布局
A. Mahdy, P. Kong, B. Zahawi, G. Karagiannidis
Data aggregate point (DAP) placement is one of the great challenges in implementing smart grid. The placement problem involves determining the optimal number and locations of DAPs, while maintaining a desired level of quality for each communication link that connects a smart meter to its associated DAP. Having smart meters on different feeders in the power network, connecting to the same DAP in the communication network may lead to inefficient data aggregation. Therefore, the placement problem must not consider the communication network in isolation from the power network. In this paper, a DAP placement scheme is proposed to jointly consider the topologies of both power and communication networks, in achieving a higher communication efficiency, and fulfilling a desired level of transmission reliability. In the proposed scheme, a mixed-integer non-linear optimization is formulated to determine the number and locations of DAPs that would reduce the delay in the network, so that the amount of data traffic and the system cost are minimized. Numerical results show that having the number of DAPs equals to the number of feeders is the optimal one. In addition, it is concluded that having less number of feeders and lower data arrival rate would lead to a smaller delay.
数据聚合点(DAP)的放置是实现智能电网的重大挑战之一。放置问题涉及确定DAP的最佳数量和位置,同时保持连接智能电表与其相关DAP的每个通信链路的理想质量水平。在电网的不同馈线上安装智能电表,在通信网络中连接同一个DAP,可能导致数据聚合效率低下。因此,敷设问题不能孤立地考虑通信网与电网的关系。本文提出了一种同时考虑电力网络和通信网络拓扑的DAP放置方案,以实现更高的通信效率,并满足期望的传输可靠性水平。在该方案中,采用混合整数非线性优化来确定可减少网络延迟的dap的数量和位置,从而使数据流量和系统成本最小化。数值计算结果表明,dap的数量等于馈线的数量是最优的。此外,还得出了馈线数量越少,数据到达率越低,延迟越小的结论。
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引用次数: 4
Control oriented modeling of dynamic torque converter system 面向控制的动态变矩器系统建模
Jin-Hyuk Lee
A torque converter is an essential part of an automatic transmission. It is a hydrodynamic device that has most influence on the transient response of a vehicle such as gear shifting and vehicle launching. In order to study such characteristics accurately, dynamic analysis of the torque converter is necessary. The zero order torque converter model of Kotwicki has been widely used for control design purposes, since the dynamic modeling method has not been readily available to control engineers. A dynamic model for the stand-alone torque converter system that allows mathematical analysis and performance prediction for transient powertrain controls based on four-first order nonlinear differential equations is presented. The results confirm that the model predicts hydrodynamic torque converter dynamic response accurately, the prediction being robust to variation of the operating condition.
变矩器是自动变速器的重要组成部分。它是对车辆换挡、发射等瞬态响应影响最大的流体动力装置。为了准确地研究液力变矩器的这些特性,有必要对其进行动态分析。Kotwicki的零阶变矩器模型已被广泛用于控制设计目的,因为动态建模方法尚不容易为控制工程师所用。提出了一种基于四阶非线性微分方程的单机变矩器系统动力学模型,该模型能够对动力系统暂态控制进行数学分析和性能预测。结果表明,该模型能较准确地预测液力变矩器的动态响应,对工况变化具有较强的鲁棒性。
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引用次数: 2
Enhancement of cross-entropy based stopping criteria via turning point indicator 利用拐点指示器增强基于交叉熵的停车准则
R. Mohamad, Harlisya Harun
Cross-entropy (CE) based stopping criteria is known for its early termination capability of the turbo decoding iterations without scarifying its performance, in terms of bit error rate (BER). This advantage, however, performs well in high signal-to-noise ratio (SNR) albeit requiring infinite iterations at low SNR, thereby resulting in more unwanted computations and decoding delays. In this paper, a simple turning point (TP) measurement from the BER and average iteration number (AIN) graphs of the Genie stopping criterion has been introduced. The motivation is twofold; to terminate the iteration at the early stage in low SNR and maintaining the same level of performance of the existing method in high SNR, by using the proposed TP measurement. From the simulation results, the enhanced CE-based stopping criteria improve the early termination in low SNR and maintain the BER performance for various frame sizes compared to existing stopping criteria.
基于交叉熵(CE)的停止准则以其在不影响turbo译码迭代的误码率(BER)的情况下提前终止的能力而闻名。然而,这种优势在高信噪比(SNR)下表现良好,尽管在低信噪比下需要无限迭代,从而导致更多不必要的计算和解码延迟。本文介绍了一种基于杰尼停止准则的误码率图和平均迭代数图的简单拐点测量方法。动机是双重的;在低信噪比条件下早期终止迭代,在高信噪比条件下保持现有方法的性能水平。从仿真结果来看,与现有的停止准则相比,基于增强ce的停止准则改善了低信噪比下的早期终止,并保持了各种帧大小下的误码率性能。
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引用次数: 8
期刊
2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)
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