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2012 UKSim 14th International Conference on Computer Modelling and Simulation最新文献

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Open Mobile Gateway O.M.G. for Accessing Enterprise Applications 开放移动网关O.M.G.访问企业应用程序
P. Agarwal, Varun Mittal
Open Mobile Gateway (OMG) will provide secure and controlled access to multiple Enterprise Applications via the Mobile Devices. OMG will comprise of Open Mobile Gateway Components (OMGC) which is deployed behind the firewall of the enterprise and Open Mobile Gateway Adaptors (OMGA) which is in front of the firewall. The OMGC will communicate with one or multiple enterprise application while the OMGA will be configured for communication with the Mobile Network Operator (MNO).
开放移动网关(OMG)将通过移动设备提供对多个企业应用程序的安全、可控访问。OMG将由部署在企业防火墙后面的开放移动网关组件(OMGC)和部署在防火墙前面的开放移动网关适配器(OMGA)组成。OMGC将与一个或多个企业应用程序通信,而OMGA将被配置为与移动网络运营商(MNO)通信。
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引用次数: 0
A Neuro-fuzzy Model of the Inverse Kinematics of a 4 DOF Robotic Arm 四自由度机械臂逆运动学的神经模糊模型
E. Lazarevska
The paper presents a neuro-fuzzy model of the inverse kinematics of 4 DOF robotic arm employing the relevance vector learning algorithm. Although the direct kinematics of the robotic arm can be modeled with ease by the same approach, the paper focuses on the much more interesting kinematic task, since its solution presents a basis for robot control design. The presented model is of a Takagi-Sugeno type, but its parameters and number of fuzzy rules are automatically generated and optimized through the adopted learning algorithm based on M. E. Tipping's relevance vector machine. The presented model illustrates the effectiveness of the adopted neuro-fuzzy modeling approach.
采用相关向量学习算法建立了四自由度机械臂逆运动学的神经模糊模型。虽然机器人手臂的直接运动学可以通过相同的方法轻松建模,但本文关注的是更有趣的运动学任务,因为它的解决方案为机器人控制设计提供了基础。该模型为Takagi-Sugeno型,但采用了基于M. E. Tipping相关向量机的学习算法自动生成和优化模糊规则的参数和数量。该模型说明了所采用的神经模糊建模方法的有效性。
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引用次数: 9
A New Genetic Folding Algorithm for Regression Problems 求解回归问题的一种新的遗传折叠算法
Pub Date : 2012-03-28 DOI: 10.1109/UKSim.2012.107
Mohammad A. Mezher, M. F. Abbod
Support Vector Regression (SVR) is an attractive approach for data modeling. The SVR is based on mapping nonlinear input to a linear in the feature space. Instead of minimizing the observed training error, SVR minimizes the generalization error bound using structural risk minimization in combine with a kernel trick control. The model selection plays an important role to the performance of SVR. Therefore, in SVR problems, we attempt to generalize the model by maximizing the margin. Based on experimental results, intelligent model selection is crucial to avoid over fitting and overestimating of generalization capability in such a multidimensional dataset. SVR techniques for choosing the kernel function and additional capacity control is still ongoing research. In this paper, we develop Genetic Folding (GF) for kernel selection of SVR. This methodology was motivated and proofed by our previous published works [4] in classification models. At the end, we have shown comparative results in comparing to predefined kernel models.
支持向量回归(SVR)是一种很有吸引力的数据建模方法。SVR是基于将非线性输入映射到特征空间中的线性输入。SVR不是最小化观察到的训练误差,而是使用结构风险最小化与核技巧控制相结合的方法最小化泛化误差界。模型选择对支持向量回归算法的性能起着至关重要的作用。因此,在SVR问题中,我们试图通过最大化边际来推广模型。基于实验结果,智能模型选择是避免在多维数据集中过度拟合和高估泛化能力的关键。核函数选择和附加容量控制的SVR技术仍在研究中。本文提出了一种基于遗传折叠的支持向量回归核选择方法。我们之前发表的分类模型研究[4]激发并证明了这种方法。最后,我们展示了与预定义核模型的比较结果。
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引用次数: 9
Flame Detector Model: A Prototype for Detecting Flames in Social Networking Sites 火焰探测器模型:在社交网站中检测火焰的原型
S. Shukla, Nitin, S. Singh, Navjot Singh Parande, A. Khare, Nilesh Kumar Pandey
Now-a-days the social Networking sites are gaining most popularity due to the ideal and efficient way of communication between two parties. However, during communication between two parties it may possible that some abusive words are to be used may be intentionally or unintentionally that is referred as Flaming during communication. This paper mainly focuses on the Flame detector model, which will capture the status of the user with the help of the web services from social networking sites and store it in to the local computer. The Flame Detector Model will find the flaming words from the status & provide the flaming words as inputs to the Flame intensity, which is one section of whole Flame Detection Model, will show the flame intensity level based on the inputs. The flame intensity also generates graph representing the intensity.
如今,由于理想和有效的双方沟通方式,社交网站越来越受欢迎。然而,在双方之间的沟通中,可能会有意或无意地使用一些辱骂性的词语,在沟通中被称为“烈焰”。本文主要研究的是火焰探测器模型,该模型利用社交网站的web服务来获取用户的状态并存储到本地计算机中。火焰检测模型将从状态中找到燃烧的单词,并将燃烧的单词作为火焰强度的输入,火焰强度是整个火焰检测模型的一部分,将根据输入显示火焰强度等级。火焰强度也生成了表示火焰强度的图形。
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引用次数: 7
Cooperative Synchronization in Wireless Multi-hop Communication 无线多跳通信中的协同同步
Hongmin Deng, Yong Zhi, Hui Hu
Cooperative synchronization of a multi-hop wireless communication networks is investigated in this paper. First, a basic and typical dual-hop network which consists of coupled chaotic systems is discussed, and synchronization has been achieved via the nonlinear integral control method. On the basis of this model, the study of the cooperative synchronization is extended to the multi-hop networks. Two network topologies, namely the MESH network structure and the MOORE neighborhood structure, are considered. Also, the nonlinear feedback integral method is used as the control law. Simulation results demonstrate the effectiveness of modeling the communication networks and the perfect synchronization of the multi-hop network consisting of chaotic nodes.
研究了多跳无线通信网络的协同同步问题。首先,讨论了一个由耦合混沌系统组成的基本和典型双跳网络,并通过非线性积分控制方法实现了同步。在此模型的基础上,将协同同步的研究扩展到多跳网络。考虑了两种网络拓扑结构,即MESH网络结构和MOORE邻域结构。采用非线性反馈积分法作为控制律。仿真结果证明了该方法对通信网络建模的有效性和混沌节点构成的多跳网络的完美同步性。
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引用次数: 0
A Novel Design and Simulation of a Compact and Ultra Fast CNTFET Multi-valued Inverter Using HSPICE 基于HSPICE的紧凑超高速CNTFET多值逆变器设计与仿真
Pub Date : 2012-03-28 DOI: 10.1109/UKSim.2012.103
Subrata Biswas, Kazi Muhammad Jameel, Rahmanul Haque, Md. Abul Hayat
This paper presents a novel design of a compact multi-valued inverter circuit using Carbon Nanotube Field effect Transistor (CNTFET). All simulations are done by using HSPICE model of CNTFET. The novelty of this paper is by using only one circuit all multi-valued output can be achieved than using three different CNTFET circuits or complex band-gap reference circuits to produce each reference voltage for precise output in case of CMOS implementation which are previously done. Also the same design implementation using MOSFETs with different threshold mask would increase higher process cost. It is widely considered that CNTFET possesses high fabrication feasibility and superior device performance than MOSFET. The extensive simulated results and performance bench-marking of the proposed design also show a significant reduction in power delay product (PDP) which aids over 50% faster speed than typical multi-valued inverter. Hence with this uniquely new design it is possible to accomplish simplicity, energy efficiency and of course reducing the chip area in modern ultra low power VLSI circuits.
提出了一种利用碳纳米管场效应晶体管(CNTFET)设计的紧凑多值逆变电路。所有仿真均采用CNTFET的HSPICE模型进行。本文的新颖之处在于仅使用一个电路就可以实现所有多值输出,而不是使用三个不同的CNTFET电路或复杂的带隙参考电路来产生每个参考电压,以便在以前完成的CMOS实现的情况下精确输出。同样的设计实现使用不同阈值掩模的mosfet将增加更高的工艺成本。人们普遍认为,与MOSFET相比,cnfet具有较高的制造可行性和优越的器件性能。广泛的仿真结果和性能基准测试也表明,该设计显著降低了功率延迟积(PDP),使速度比典型的多值逆变器快50%以上。因此,这种独特的新设计可以实现简单,节能,当然还可以减少现代超低功耗VLSI电路中的芯片面积。
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引用次数: 6
Energy and LCC Optimised Design of Compressed Air Systems: A Mixed Integer Optimisation Approach with General Applicability 压缩空气系统的能量和LCC优化设计:一种具有普遍适用性的混合整数优化方法
H. Fridén, L. Bergfors, A. Björk, E. Mazharsolook
Compressed air systems account for much of the total energy use by European industries. Air compressors alone account for over 10% of UK industrial energy use (>;15,000 GWh). Many of these systems are not optimized to save energy and money, and to have more reliable compressed air power. We present here an integrated optimization solution for the design of such systems. The input to the design procedure is an audit of the air usage pattern and the user defined requirements of the compressed air system. A multi-objective optimiser proposes a design solution. It generates candidate system configurations with alternative equipment, minimises, on-the-fly, the energy use of these using a SIMULINK simulator, computes predicted lifecycle cost, and selects the configuration which meets the specifications and gives the lowest 10 year life-cycle cost.
压缩空气系统占欧洲工业总能耗的很大一部分。仅空气压缩机就占英国工业能源使用量的10%以上(>;15,000 GWh)。这些系统中的许多都没有经过优化,以节省能源和金钱,并有更可靠的压缩空气动力。在此,我们提出了一种用于此类系统设计的集成优化方案。设计程序的输入是对空气使用模式和用户定义的压缩空气系统要求的审计。一个多目标优化器提出了一个设计方案。它生成备选设备的候选系统配置,使用SIMULINK模拟器实时最小化这些设备的能源消耗,计算预测的生命周期成本,并选择符合规格的配置,并给出最低的10年生命周期成本。
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引用次数: 9
A New Fault Tolerant Routing Algorithm for Advance Irregular Augmented Shuffle Exchange Network 一种新的不规则增强Shuffle交换网络容错路由算法
V. P. Bhardwaj, Nitin
Interconnection Network is a significant component in parallel processing system (PPS). Multistage interconnection network (MIN) plays a vital role in order to design efficient PPS. In the present research scenario, obtaining a cost effective and fault tolerant MIN is a critical challenge. This paper introduces a new fault tolerant irregular MIN named as Advance Irregular Augmented Shuffle Exchange Network (AIASEN). The proposed MIN is the advance form of irregular augmented shuffle exchange network (IASEN). It has been observed that AIASEN provides full access capability in presence of multiple faults in the network. It shows better tolerance fault at minimum cost as compare to the IASEN.
互联网络是并行处理系统(PPS)的重要组成部分。为了设计高效的PPS,多级互连网络(MIN)起着重要的作用。在目前的研究情况下,获得一个经济有效且容错的最小二乘是一个关键的挑战。本文介绍了一种新的容错不规则交换网络——高级不规则增强洗牌交换网络(AIASEN)。所提出的MIN是不规则增强型洗牌交换网络(IASEN)的改进形式。已经观察到,AIASEN在网络存在多个故障的情况下提供了完全的接入能力。与IASEN相比,它在最小成本下具有更好的容错能力。
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引用次数: 16
Bayesian Neural Network Applied in Medical Survival Analysis of Primary Biliary Cirrhosis 贝叶斯神经网络在原发性胆汁性肝硬化医学生存分析中的应用
Corneliu T. C. Arsene, P. Lisboa
A benchmark medical study is realized for a Primary Biliary Cirrhosis (PBC) dataset by using two different versions of a Bayesian Neural Network (BNN) entitled Partial Logistic Artificial Neural Network for Competing Risks with Automatic Relevance Determination (PLANN-CR-ARD). The two BNN versions are based on two different compensation mechanisms which are designed to preserve the numerical stability of the PLANN-CR-ARD model and to calculate the marginalized network results. The predictions of the PLANN-CR-ARD models are comparable to the non-parametric estimates obtained through the survival analysis of the PBC dataset. The input variables from the PBC dataset which can have a strong influence on the outcome of the disease are determined. The PLANN-CR-ARD models can be used to investigate the non-linear inter-dependencies between the predicted outputs and the input data which consist of the characteristics of the PBC patients.
通过使用两种不同版本的贝叶斯神经网络(BNN)实现了原发性胆汁性肝硬化(PBC)数据集的基准医学研究,该网络名为“带有自动相关性确定的竞争风险部分逻辑人工神经网络”(PLANN-CR-ARD)。两个BNN版本基于两种不同的补偿机制,旨在保持PLANN-CR-ARD模型的数值稳定性并计算边缘网络结果。plan - cr - ard模型的预测结果与通过PBC数据集的生存分析获得的非参数估计结果相当。确定了来自PBC数据集的对疾病结果有强烈影响的输入变量。PLANN-CR-ARD模型可用于研究预测输出与包含PBC患者特征的输入数据之间的非线性相互依赖关系。
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引用次数: 6
Towards Service Oriented Architecture (SOA) for Massive Multiplayer Online Games (MMOG) 面向大型多人在线游戏(MMOG)的面向服务架构(SOA)
Farrukh Arslan
In recent times Massive Multiplayer Online Game has appeared as a computer game that enables hundreds of players from all parts of the world to interact in a game world (common platform) at the same time instance. Current architecture used for MMOGs based on the classic tightly coupled distributed system. While, MMOGs are getting more interactive same time number of interacting users is increasing, classic implementation architecture may raise scalability and interdependence issues. This requires a loosely coupled service oriented architecture to support evolution in MMOG application. Data flow architecture, Event driven architecture and client server architecture are basic date orchestration approaches used by any service oriented architecture. Real time service is hottest issue for service oriented architecture. The basic requirement of any real time service oriented architecture is to ensure the quality of service. In this paper we have proposed a service oriented architecture for massive multiplayer online game and a specific middleware (based on open source DDS) in MMOG's for fulfilling real time constraints.
近年来,大规模多人在线游戏作为一种电脑游戏出现,使来自世界各地的数百名玩家能够同时在一个游戏世界(公共平台)中进行互动。当前用于mmog的体系结构是基于经典的紧耦合分布式系统。虽然mmog的交互性越来越强,同时交互用户的数量也在增加,但传统的实现架构可能会带来可伸缩性和相互依赖性问题。这需要一个松散耦合的面向服务的体系结构来支持MMOG应用程序的发展。数据流体系结构、事件驱动体系结构和客户端服务器体系结构是任何面向服务的体系结构使用的基本数据编排方法。实时服务是面向服务体系结构研究的热点问题。任何实时面向服务的体系结构的基本要求都是确保服务质量。在本文中,我们提出了一个面向服务的大型多人在线游戏架构和一个特定的中间件(基于开源DDS),以满足MMOG的实时约束。
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引用次数: 6
期刊
2012 UKSim 14th International Conference on Computer Modelling and Simulation
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