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Solving Equations Systems Using Artificial Intelligence - a Survey 用人工智能求解方程组-综述
Liviu Octavian Mafteiu-Scai, Roxana Mafteiu-Scai Emanuela Mafteiu
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引用次数: 0
SECURITY METHOD: CLOUD COMPUTING APPROACH BASED ON MOBILE AGENTS 安全方法:基于移动代理的云计算方法
A. Alwesabi, K. Okba
The cloud computing is a new computer model that provide computer services in the form of services on demand, accessible from anywhere, anytime and by anyone, the cloud computing are mainly used for the treatment of loads computer work very intensive and provide very large storage of data, these two objectives are combined with the third goal of potentially reducing management costs and use. In this paper, we present an architecture based on mobile agent for cloud computing, today most applications of cloud computing use the model "client / server" where the exchange is done by sending messages across the network , this model has the disadvantage of increasing the traffic on the network and requires a permanent connection. In this paper, we propose a new approach that uses mobile agents in cloud computing, our architecture is based on mobile agents that have kept the goal of security communication in cloud computing, we are relying on the ability of security of agents.
云计算是一种新的计算机模型,它以按需服务的形式提供计算机服务,可从任何地点、任何时间和任何人访问,云计算主要用于处理负载非常密集的计算机工作并提供非常大的数据存储,这两个目标与第三个目标相结合,潜在地降低管理成本和使用。本文提出了一种基于移动代理的云计算体系结构,目前大多数云计算应用使用“客户端/服务器”模型,通过在网络上发送消息来完成交换,这种模型的缺点是增加了网络上的流量,并且需要永久连接。本文提出了一种在云计算中使用移动代理的新方法,我们的架构是基于移动代理的,它保持了云计算中安全通信的目标,我们依赖于代理的安全能力。
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引用次数: 5
Hybrid Design Space Exploration Methodology for Application Specific System Design 应用特定系统设计的混合设计空间探索方法
K. Balasubadra
During the application specific system design process, the designer has to take early decisions for selecting the optimal system components from the available huge design alternatives. To obtain the optimal design configuration from the available design alternatives, an efficient Design Space Exploration (DSE) process is required. This paper extends our previous work by integrating Bayesian Belief Network (BBN) based design space pruning methodology with the proposed heuristic algorithm for appropriate selection of memory configuration during the system design process. A complete and well structured DSE strategy has been formulated through the combination of BBN and heuristic approaches. The BBN performs design space pruning from the available huge design alternatives, resulting in near Pareto-optimal solution. The proposed heuristic algorithm performs the selection of the most optimal cache options. This paper mainly focuses on integrating the BBN with the proposed heuristic algorithm for providing efficient DSE strategy that aids the system designers during the application specific system design process. The experimental results in support of the proposed heuristic show a considerable reduction in the number of simulations required for covering the design space and also the algorithm finds the most optimal cache configurations for the given application with less number of iterations.
在特定于应用程序的系统设计过程中,设计人员必须尽早做出决定,从可用的大量设计方案中选择最佳的系统组件。为了从可用的设计方案中获得最佳的设计配置,需要一个有效的设计空间探索(DSE)过程。本文通过将基于贝叶斯信念网络(BBN)的设计空间修剪方法与提出的启发式算法相结合,扩展了我们之前的工作,以便在系统设计过程中适当选择内存配置。通过结合BBN和启发式方法,制定了一个完整的、结构良好的DSE策略。BBN从可用的巨大设计备选方案中执行设计空间修剪,从而产生接近帕累托最优的解决方案。提出的启发式算法选择最优的缓存选项。本文主要集中于将BBN与所提出的启发式算法相结合,以提供有效的DSE策略,帮助系统设计者在特定应用的系统设计过程中进行设计。实验结果表明,该算法大大减少了覆盖设计空间所需的模拟次数,并且以较少的迭代次数为给定应用程序找到了最优的缓存配置。
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引用次数: 0
An Enhanced Algorithm for Cloud Scheduling with Setup Cost 一种具有设置成本的云调度改进算法
Redwan A. Al-dilami, Ammar Thabit Zahary Adnan Zain Al-Saqqaf
The study aimed at investigating the problem of online task scheduling of identifying job of MapReduce on cloud computing infrastructures. It was proposed that the virtualized cloud computing setup comprised machines that host multiple identical virtual machines (VMs) under pay-as-you-go charging and booting a VM requires a constant setup time. The problem occurs when the VMs turning off after finishing processing a task and running it again for another. The goal is to limit the delay resulted from setting up the VMs, and to minimize the idle cost (VM does not find any task to possess) when VM is continuing in an active state without processing tasks. It was a constant number of VMs in an activation state continuity, and the cost of idle was distributed over existing tasks where the cost should be less than the cost of setting up one VM. The researchers' algorithm limited the delay resulted from setting up the VMs, the cost resulted from the continuing VMs in an active state without processing tasks was distributed to the current tasks fairly. The known cases was discussed where the duration of each task was known upon its arrival.
本研究旨在探讨MapReduce在云计算基础设施上识别作业的在线任务调度问题。有人提出,虚拟云计算设置包括托管多个相同的虚拟机(VM)的机器,按按需付费,并且启动虚拟机需要恒定的设置时间。当虚拟机在完成一个任务后关闭,并再次运行另一个任务时,会出现该问题。目标是限制由设置VM引起的延迟,并在VM继续处于活动状态而不处理任务时最小化空闲成本(VM找不到任何要拥有的任务)。它是处于激活状态连续性的恒定数量的VM,并且空闲的成本分布在现有任务上,其中成本应该小于设置一个VM的成本。研究人员的算法限制了虚拟机设置的延迟,将虚拟机处于活动状态而不处理任务所产生的成本公平地分配给当前任务。讨论了已知的情况,其中每个任务的持续时间在其到达时已知。
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引用次数: 1
Interactive Face Robot 交互式面部机器人
M. Owayjan, Hasan A. Ezzidine Fady C. Elias-Sleiman, Nourhane Haidar
The interaction between humans and robots has increased and become more personalized in this century. Robots are being used in various fields such as medicine, manufacturing, automation, etc.; however, they lack the interaction capability that is found in a human mainly because more than 60% of human communication is non-verbal, and thus, is hard to replace him. This project presents an interactive face robot which is able to mimic the six universal human facial expressions: happiness, surprise, fear, sadness, anger, and disgust. It can interact with the user using speech recognition in order to mimic a career/major adviser. The Interactive Face Robot is made out of a rubber mask to simulate the skin. Facial expressions are created by moving muscle-like structures based on a facial mass-spring model. Nine servo motors move the different action units in the face to create the different expressions. The Interactive Face Robot mimics a career/major adviser using speech recognition software, the BitVoicer, which recognizes the user’s speech and communicates with a LabVIEWTM program that evaluates the answers and calculates the best career/major choice. The LabVIEWTM program, which runs on a laptop computer, also converts the pre-defined questions that the robot asks into voice, and communicates with an Arduino Mega the expression that the face is to generate. Using pulse-width modulation, the Arduino Mega controls the needed servo motors to create the necessary facial expression. The Interactive Face Robot has proven to be user-friendly, and interacted with humans as pre-programmed. Facial expressions provide robots with more capabilities for human-like interactions, making them more adequate for applications requiring interactions with humans. This Interactive Face Robot can replace a career/major adviser, and can be programmed as a receptionist, front-desk operator, or can be used in therapeutic applications. Keywords—HCI; Facial Expressions; Interactive Robot
人类与机器人之间的互动在本世纪增加了,变得更加个性化。机器人被应用于医药、制造、自动化等各个领域;然而,它们缺乏人类的互动能力,主要是因为人类60%以上的交流是非语言的,因此很难取代人类。这个项目展示了一个互动面部机器人,它能够模仿六种人类普遍的面部表情:快乐、惊讶、恐惧、悲伤、愤怒和厌恶。它可以通过语音识别与用户互动,以模仿职业/主要顾问。互动面部机器人是由一个橡胶面具来模拟皮肤。面部表情是通过基于面部质量-弹簧模型的运动肌肉结构产生的。9个伺服马达带动脸上不同的动作单元,创造出不同的表情。交互式面部机器人使用语音识别软件BitVoicer模仿职业/专业顾问,该软件识别用户的语音,并与LabVIEWTM程序交流,该程序评估答案并计算最佳职业/专业选择。在笔记本电脑上运行的LabVIEWTM程序还可以将机器人提出的预先定义的问题转换为语音,并与Arduino Mega交流面部要生成的表情。使用脉宽调制,Arduino Mega控制所需的伺服电机来创建必要的面部表情。交互式面部机器人已被证明是用户友好的,并与人类进行预先编程的互动。面部表情为机器人提供了更多类似人类的交互能力,使它们更适合需要与人类交互的应用。这款交互式面部机器人可以代替职业/主要顾问,也可以被编程为接待员、前台操作员,或者可以用于治疗应用。Keywords-HCI;面部表情;交互式机器人
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引用次数: 0
Hardware-based scheduling and synchronization for light-weight, fine-grainedmulti-threading 基于硬件的轻量级、细粒度多线程的调度和同步
S. Haddad, Jeanine E. Cook
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引用次数: 0
Parallel k means Clustering Algorithm on SMP SMP上的并行k均值聚类算法
A. Alrajhi, S. S. Zaghloul
The k-means clustering algorithm is one of the popular and simplest clustering algorithms. Due to its simplicity, it is widely used in many applications. Although k-means has low computational time and space complexity, increasing the dataset size results in increasing the computational time proportionally. One of the most prominent solutions to deal with this problem is the parallel processing. In this paper, we aim to design and implement a parallel k-means clustering algorithm on shared memory multiprocessors using parallel java library. The performance of the parallel algorithm is evaluated in terms of speedup, efficiency and scalability. Accuracy and quality of clustering results are also measured. Furthermore, this paper presents analytical results for the parallel program performance metrics.
k-means聚类算法是目前最流行、最简单的聚类算法之一。由于其简单性,它被广泛应用于许多应用中。虽然k-means具有较低的计算时间和空间复杂度,但增加数据集大小会导致计算时间成比例地增加。处理此问题的最突出的解决方案之一是并行处理。本文利用并行java库设计并实现了一种基于共享内存多处理器的并行k-means聚类算法。从加速、效率和可扩展性三个方面对并行算法的性能进行了评价。对聚类结果的准确性和质量进行了测量。此外,本文还给出了并行程序性能指标的分析结果。
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引用次数: 2
DESIGN OF A REVERSIBLE FUSED 32-POINT RADIX -2 FLOATING POINT FFT UNIT USING 3:2 COMPRESSOR 采用3:2压缩器设计可逆熔接32点基数-2浮点FFT装置
A. V. AnanthaLakshmi, G. Sudha
This paper aims on the design of a reversible fused 32Point Radix-2 single precision floating point FFT unit using 3:2 compressor. The work focuses on the realization of three reversible fused floating point units: reversible floating point add-sub unit, reversible floating point multiply-add unit and reversible floating point multiply-subtract unit. The proposed work requires the design of a reversible single precision floating point adder, a reversible single precision floating point subtractor and a reversible single precision floating point multiplier. A reversible single precision floating point adder and subtractor is designed with less quantum cost, less number of reversible gates and less constant inputs. A reversible single precision floating point multiplier is implemented using 3:2 compressor as the 24x24 bit multiplier based on 3:2 compressor is highly efficient when compared with the design using 4:3 compressors. A reversible fused 32-Point Radix-2 floating point FFT Unit using 3:2 compressor consumes less number of resources, operates at a slightly greater speed and dissipates less power when compared with the reversible discrete 32-Point Radix-2 floating point FFT Unit. The proposed Fused 32-Point Radix-2 floating point FFT unit using 3:2 compressor dissipates 2.074W while the same design as a discrete implementation dissipates 2.176W.
本文的目的是设计一个可逆融合的32点基数-2单精度浮点FFT单元,采用3:2压缩器。重点实现了三种可逆融合的浮点单元:可逆浮点加-子单元、可逆浮点乘-加单元和可逆浮点乘-减单元。所提出的工作需要设计一个可逆的单精度浮点加法器,一个可逆的单精度浮点减法器和一个可逆的单精度浮点乘法器。设计了一种量子成本低、可逆门数少、常数输入少的可逆单精度浮点加减法器。采用3:2压缩器实现可逆单精度浮点乘法器,因为基于3:2压缩器的24x24位乘法器比使用4:3压缩器的设计效率更高。使用3:2压缩器的可逆融合32点基数-2浮点FFT单元与可逆离散32点基数-2浮点FFT单元相比,消耗的资源数量更少,运行速度略快,功耗更低。建议使用3:2压缩器的32点基数2浮点FFT单元耗散2.074W,而与离散实现相同的设计耗散2.176W。
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引用次数: 0
A Comprehensive Survey of Security Related Challenges in Internet of Things 物联网安全相关挑战综述
E. Ezema, Nfm Sani A.Abdullah
The IoT network is a decentralized type of network which can sense information and transmit the information to a base station. Due to small size of the sensor nodes, energy consumption and security is seen as the major challenge to the IoT network. The LEACH is the energy efficient protocol which can divide the whole network into fixed size clusters. In each cluster, the cluster heads are selected, to transmit data to base station. The cluster heads are selected in the network based on the energy of each node and distance from sensor node to base station. The energy of the sensor node is dissipated when each node receives or transmits data to the base station. The energy is also consumed when the sensor nodes aggregate data to cluster head. In this paper, we analyze existing research works in IoT system and proposed security approaches. In the literature, we have studied that many related challenges have been discovered and work on, but they are still open challenges to these different approaches and techniques. The paper highlights various security challenges of IoT and contributions from researcher.
物联网网络是一种分散类型的网络,可以感知信息并将信息传输到基站。由于传感器节点体积小,能耗和安全被视为物联网网络的主要挑战。LEACH是一种高效节能的协议,它可以将整个网络划分为固定大小的簇。在每个簇中,选择簇头,将数据传输到基站。根据每个节点的能量和传感器节点到基站的距离在网络中选择簇头。当每个节点接收或向基站发送数据时,传感器节点的能量会被耗散。当传感器节点将数据聚合到簇头时,也会消耗能量。在本文中,我们分析了物联网系统的现有研究工作,并提出了安全方法。在文献中,我们研究了许多相关的挑战已经被发现和研究,但它们仍然是这些不同方法和技术的开放挑战。本文重点介绍了物联网的各种安全挑战和研究人员的贡献。
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引用次数: 2
Network Traffic Classification Using Ensemble Learning with Time Related Features 基于时间相关特征集成学习的网络流量分类
Muhammad Anwarul Azim, Tanvir, Mohammad Islam
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引用次数: 0
期刊
International journal of new computer architectures and their applications
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