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2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)最新文献

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Improved modified fast Haar Wavelet transformation [MFHWT] based visible watermarking 基于改进的快速Haar小波变换的可见水印
Shefaly Sharma, J. Kaur, Shipra Gupta
With the explosive growth of internet technology, many innovative applications requiring exchange of large amount of data have become feasible and hence security of data have become a critical issue. In this paper, a robust and secure visible image watermarking algorithm is purposed. This purposed algorithm is based on Multi Wavelets with Modified fast Haar Wavelet transform [MFHWT]. MFHWT is the latest technique used for wavelets transformation which is used to perform image analysis at faster rate than previous techniques. The main idea of the purposed algorithm is to decompose the original image into fine scale sub bands using MFHWT according to the size of the Watermark. In this algorithm, the obtained watermarked image. In this algorithm has very high Peak Signal to Noise Ratio [PSNR].
随着互联网技术的爆炸式发展,许多需要交换大量数据的创新应用已经成为可能,因此数据的安全性成为一个关键问题。本文提出了一种鲁棒、安全的可见图像水印算法。该算法基于多小波和改进的快速Haar小波变换[MFHWT]。MFHWT是用于小波变换的最新技术,用于比以前的技术更快地执行图像分析。该算法的主要思想是根据水印的大小,利用MFHWT将原始图像分解成小尺度的子带。在该算法中,得到的水印图像。该算法具有很高的峰值信噪比(PSNR)。
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引用次数: 3
Performance evaluation of Virtual Machine (VM) scheduling policies in Cloud computing (spaceshared & timeshared) 云计算(空间共享和时间共享)下虚拟机调度策略性能评价
S. Khurana, Khyati Marwah
The concept Cloud computing has not only reshaped the field of distributed systems but also fundamentally changed how business potential extends today. In recent advancements, Cloud computing applications are provided as services to end-users. The application services hosted under Cloud computing model have complex provisioning, configuration, and deployment requirements How to use Cloud computing resources efficiently and gain the maximum profits with efficient utilization of resources is one of the Cloud computing service providers' ultimate goals. Repetitive evaluation of the performance of Cloud provisioning policies, application workload models, and resources performance models in dynamic system are difficult to achieve and rather a time consuming and costly approach. To overcome this challenge, Cloud analyst simulator based on Cloud Sim has been proposed which enables the modeling and simulation in cloud's ambience. The objective of this paper is to prove that the choice of VM Scheduling Policy in Cloud computing model significantly improves the application performance under resource and service demand variations. We will discuss different Virtual Machine (VM) Scheduling Policies implemented and their performance analysis in Virtual environment of cloud computing in order to achieve better Quality of Service (QoS).
云计算这个概念不仅重塑了分布式系统领域,而且从根本上改变了当今商业潜力的扩展方式。在最近的进展中,云计算应用程序作为服务提供给最终用户。云计算模式下托管的应用服务具有复杂的供应、配置和部署需求,如何高效地使用云计算资源,以高效的资源利用获得最大的利润,是云计算服务提供商的终极目标之一。在动态系统中对云供应策略、应用程序工作负载模型和资源性能模型的性能进行重复评估是很难实现的,而且是一种非常耗时和昂贵的方法。为了克服这一挑战,提出了基于Cloud Sim的云分析模拟器,实现了云环境下的建模和仿真。本文的目的是证明云计算模型中虚拟机调度策略的选择在资源和服务需求变化的情况下可以显著提高应用程序的性能。我们将讨论在云计算的虚拟环境中实现不同的虚拟机调度策略及其性能分析,以实现更好的服务质量(QoS)。
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引用次数: 15
Test pattern generation for benchmark circuits using LFSR 用LFSR生成基准电路的测试模式
Chengani VinodChandra, S. Ramasamy
The test generation problem for circuits is known to be NP-hard. Efficient techniques for test generation are essential in order to reduce the test generation time. Test patterns were generated using ATPG (Automatic Test Pattern Generation) and faults were inserted in the netlist file generated using DFT (Design for Test). Here ATPG is achieved using the combination of Design Compiler and the Tetramax. Fault coverage and test patterns were generated. It was observed that neither a comprehensive functional verification sequence nor a sequence with high stuck-at fault coverage gives high transition fault coverage for sequential circuits. A customized LFSR algorithm is used to find the fault coverage and pattern used to detect the faults. It is found that LFSR techniqque seems to be good when compared to the ATPG tool for the small and medium circuits. LFSR technique yields 100% fault coverage where as Tetramax is giving about 97% fault coverage.
众所周知,电路的测试生成问题是np困难的。有效的测试生成技术对于减少测试生成时间至关重要。使用ATPG(自动测试模式生成)生成测试模式,并将故障插入到使用DFT(测试设计)生成的网表文件中。在这里,ATPG是使用设计编译器和Tetramax的结合来实现的。生成了故障覆盖和测试模式。结果表明,无论是全面的功能验证序列,还是高卡滞故障覆盖率的序列,都不能为顺序电路提供高的过渡故障覆盖率。使用自定义的LFSR算法确定故障覆盖范围和用于检测故障的模式。与ATPG工具相比,LFSR技术在中小型电路中似乎是好的。LFSR技术的故障覆盖率为100%,而Tetramax的故障覆盖率约为97%。
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引用次数: 5
Dealing QAP & KSP with Green Heron optimization algorithm — A new bio-inspired meta-heuristic 用绿鹭优化算法处理QAP和KSP——一种新的生物启发式元算法
C. Sur, A. Shukla
In this paper a new biological phenomenon following meta-heuristics called Green Heron Optimization Algorithm (GHOA) is being discussed, for the first time, which acquired its inspiration from the Green Heron birds, their intelligence, perception analysis capability and technique for food acquisition. The natural phenomenon of the bird has been capped into some unique operations which favour the graph based and discrete combinatorial optimization problems but with slight modification can also be utilized for other wide variety of problems of the real world which have discrete representation of data and variables having several constraints. In this work we have mainly concentrated on the description, mathematical representations, presentations, features, limitations and performance analysis of the algorithm on the scattered dimensional datasets of the Quadratic Assignment Problem (QAP) & 0/1 Knapsack Problem (KSP) to clearly demarcate its performance with change in dimension that is scalability. The results of the simulation clearly reveal how the algorithm has worked optimally for the various datasets of the problem. GHOA is one of the few members in the discrete domain algorithms of the bio-inspired computation family which favours suitably the graph based problems like path planning, process scheduling etc and has the capability of recombination and local search for global optimization and refinement of the solutions.
本文首次讨论了继元启发式之后的一种新的生物学现象——绿苍鹭优化算法(Green Heron Optimization Algorithm, GHOA),该算法的灵感来源于绿苍鹭的智力、感知分析能力和食物获取技术。鸟的自然现象已经被限定为一些独特的操作,这些操作有利于基于图的离散组合优化问题,但稍加修改,也可以用于现实世界中具有离散数据表示和具有若干约束的变量的其他各种问题。在这项工作中,我们主要集中在二次分配问题(QAP)和0/1背包问题(KSP)的分散维度数据集上对算法的描述,数学表示,演示,特征,局限性和性能分析,以明确区分其性能与维度变化即可扩展性。仿真结果清楚地揭示了该算法如何在问题的各种数据集上实现最佳工作。GHOA算法是生物启发计算族中为数不多的离散域算法之一,它适合于路径规划、过程调度等基于图的问题,并具有重组和局部搜索的能力,以实现解的全局优化和细化。
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引用次数: 6
Improve the performance of LRU page replacement algorithm using augmentation of data structure 利用数据结构的增强来提高LRU页面替换算法的性能
C. C. Kavar, S. Parmar
The process takes less time for handling instructions then would be speedy and efficient. The speed of the process is not only depends on architectural features and operational frequency, but also depends on the algorithm and data structure, which is used for that process. There are many page replacement algorithms such as least recently used (LRU), first-in-first-out (FIFO), Optimal and the combination of LRU and least frequently used (LFU) are available in memory management. We can improve the performance of page replacement algorithm either develop a new algorithm from scratch or using augmentation of data structure and algorithm design. In this paper we use augmented doubly circular link list, skip list, splay tree and hash table and apply all these on LRU page replacement algorithm. We implement all these augmented data structure with LRU page replacement algorithm and traced using Standard Performance Evaluation Corporation (SPEC) benchmark files. This paper show that augmentation of data structure can improve the performance of LRU page replacement algorithm.
这个过程需要更少的时间来处理指令,然后将是快速和有效的。该过程的速度不仅取决于体系结构特征和操作频率,还取决于该过程所使用的算法和数据结构。在内存管理中有许多页面替换算法,如最近最少使用(LRU)、先进先出(FIFO)、最优以及LRU和最不常用(LFU)的组合。为了提高页面替换算法的性能,我们可以从零开始开发一种新的算法,也可以利用数据结构和算法设计的增强。本文将扩充双循环链表、跳跃表、展开树和哈希表应用于LRU页面替换算法。我们使用LRU页面替换算法实现所有这些增强的数据结构,并使用标准性能评估公司(SPEC)基准文件进行跟踪。本文表明,数据结构的增强可以提高LRU页面替换算法的性能。
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引用次数: 2
Real time visual SLAM using cloud computing 使用云计算的实时可视化SLAM
Kumar Ayush, N. Agarwal
Simultaneous localization and map-building (SLAM) continues to draw considerable attention in the robotics community due to the advantages it can offer in building autonomous robots. However, few approaches to this problem scale up to handle a large number of landmarks present in real environments. The processing resource requirement to carry out SLAM in real time can be quite high. In this paper we present a novel system which employs resources provided by infrastructure as a service (IaaS) and parallelism for effective processing. Using private cloud infrastructure employing virtualized resources based on MPI the task of global map building is performed in real time simultaneously carrying out loop detection and bundle adjustment for indoor environments. Through implementation in various challenging environments with moving obstacles, visually homogeneous areas having few features, regions with large changes in lighting and relatively fast camera motion we demonstrate our system to be one which is effective as well as robust.
同时定位和地图构建(SLAM)在机器人社区中继续引起相当大的关注,因为它可以在构建自主机器人方面提供优势。然而,很少有解决这个问题的方法可以扩展到处理现实环境中存在的大量地标。实时执行SLAM对处理资源的要求非常高。本文提出了一种利用基础设施即服务(IaaS)提供的资源和并行性进行有效处理的新系统。利用私有云基础设施,利用基于MPI的虚拟化资源,实时完成全局地图构建任务,同时对室内环境进行环检测和束调整。通过在各种具有挑战性的环境中实现移动障碍物,视觉上均匀的区域几乎没有特征,照明变化很大的区域和相对较快的相机运动,我们证明了我们的系统是有效的,也是健壮的。
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引用次数: 4
Modified ant colony optimization algorithm with uniform mutation using self-adaptive approach for travelling salesman problem 基于自适应方法的改进均匀变异蚁群优化算法求解旅行商问题
R. S. Jadon, U. Datta
Ant Colony Optimization (ACO) algorithm is a novel meta-heuristic algorithm that has been widely used for different combinational optimization problem and inspired by the foraging behavior of real ant colonies. It has strong robustness and easy to combine with other methods in optimization. In this paper, an efficient modified ant colony optimization algorithm with uniform mutation using self-adaptive approach for the travelling salesman problem (TSP) has been proposed. Here mutation operator is used for enhancing the algorithm escape from local optima. The algorithm converges to the final optimal solution, by accumulating most effective sub-solutions. Experimental results show that the proposed algorithm is better than the algorithm previously proposed.
蚁群优化算法(Ant Colony Optimization, ACO)是一种新型的元启发式算法,受到真实蚁群觅食行为的启发,被广泛应用于各种组合优化问题。该方法鲁棒性强,易于与其他优化方法结合。针对旅行商问题,提出了一种基于自适应方法的改进的均匀变异蚁群优化算法。这里使用变异算子来增强算法对局部最优的逃避。该算法通过累积最有效的子解,收敛到最终的最优解。实验结果表明,该算法优于现有算法。
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引用次数: 23
Automated static data flow analysis 自动静态数据流分析
Ishwari Aghav, Vishal Tathe, Aashay Zajriya, M. Emmanuel
Abstract Syntax Trees (AST) are useful to understand program semantics. Data flow analysis of interests to program developers. In this paper we use effectively AST to reveal data flow information. Computer programs larger part in static form is declaration of data. Analyzing data dependency helps to design and development of source programs. We consider data flow analysis with more importance and focus in the design and implementation of method. We propose an utility that lists the data dependency in static source code by analyzing data flow. Data flow analysis is used to improve the process of software development as it helps in analyzing the existing code and in developing new program by modifying or extracting modules. In the implementation we have used open source compiler LLVM with Clang as its front end to interpret C/C++ code.
抽象语法树(AST)对于理解程序语义非常有用。对程序开发人员感兴趣的数据流分析。在本文中,我们有效地使用AST来揭示数据流信息。计算机程序大部分是以静态形式声明数据的。分析数据依赖性有助于源程序的设计和开发。在方法的设计和实现中,我们更加重视和关注数据流分析。我们提出了一个实用程序,通过分析数据流来列出静态源代码中的数据依赖关系。数据流分析有助于分析现有代码,并通过修改或提取模块来开发新程序,从而改进软件开发过程。在实现中,我们使用了开源编译器LLVM, Clang作为其前端来解释C/ c++代码。
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引用次数: 1
Performace and energy efficient Greedy forwarding method for sensor networks 传感器网络的性能和节能贪婪转发方法
Shradha P. Dugam, S. Pingat
The area of study and work presented in this paper is on a method of routing in sensor networks that is a part of Geographic Routing protocol known as Greedy Forwarding. This is an much more efficient version of methods that are applicable in GR. This works on the principle of progressing in the process of forwarding by selecting a peer that is nearer to the final node where the packets are destined. But with the benefits of reducing the total distance between two end points this method incurs limitations regarding collection of proper network topology information thus creating voids while sending packets. To avoid this an improvised version of previous works is presented over here that highlights mainly of increasing performance as well as energy efficiency of GF method in GR. A more enhanced method that will collect more accurate topological information and support the forwarding process with energy saving to increase networks lifetime is presented. Here the discussion about the work done by previous methods will be shown along with we introduce to you a newer version. The basic aim is to consider maximum energy paths and nodes with maximum energy remains.
本文提出的研究和工作领域是传感器网络中的路由方法,该方法是地理路由协议的一部分,称为贪婪转发。这是适用于GR的方法的一个更有效的版本。它的工作原理是在转发过程中,通过选择一个更接近数据包目的地的对等体来推进。但是,由于减少了两个端点之间的总距离,这种方法在收集适当的网络拓扑信息方面产生了限制,因此在发送数据包时产生了空白。为了避免这种情况,本文介绍了先前工作的临时版本,主要强调了GR中GF方法的性能和能效的提高。提出了一种更增强的方法,该方法将收集更准确的拓扑信息,并支持节能的转发过程,以增加网络生命周期。在这里,我们将讨论以前的方法所完成的工作,并向您介绍一个更新的版本。基本目标是考虑最大能量路径和剩余能量最大的节点。
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引用次数: 0
DWT-SVD based reversible watermarking algorithm for embedding the secret data in medical images 基于DWT-SVD的医学图像秘密数据嵌入可逆水印算法
E. Kumar, Remya Elizabeth Philip, P. S. Kumar, M. Sumithra
There are different ways to protect medical images, most commonly used are steganography, watermarking, encryption etc. Due to the advantages of watermarking it has achieved a great importance in the field of image security. This paper gives a comparative analysis on applying SVD on different sub bands of a Haar wavelet transformed medical image. The experimentation is done using MRI and CT scan medical images.
医学图像的保护方法有很多,最常用的有隐写、水印、加密等。由于水印技术的优点,它在图像安全领域取得了重要的地位。对Haar小波变换后的医学图像在不同子带上应用奇异值分解进行了对比分析。实验采用核磁共振成像和CT扫描医学图像。
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引用次数: 9
期刊
2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)
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