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Gradient Based Control and Synchronization of Lorenz System with Periodic Parametric Forcing 周期参数强迫下基于梯度的Lorenz系统控制与同步
Pub Date : 2012-09-04 DOI: 10.14419/JACST.V1I4.301
Mohammad Ali Khan
Several important properties of chaos synchronization with gradient based control of chaotic system with periodic parametric forcing remain still unexplored. This paper investigates the behavior of the Lorenz system to change from chaotic to periodic, parametric forcing also entrains the system output with the forcing frequency. Secondly synchronization of two identically chaotic Lorenz systems are derived by linear feedback control and then discussed the gradient based control method for Lorenz system with periodic parametric forcing. Finally numerical simulation results are presented to show the feasibility and effectiveness of the approach.
周期参数强迫下基于梯度的混沌同步控制的几个重要性质还没有得到进一步的研究。本文研究了洛伦兹系统从混沌到周期转变的行为,参数强迫也伴随着强迫频率的变化。其次,利用线性反馈控制导出了两个同混沌Lorenz系统的同步,并讨论了具有周期参数强迫的Lorenz系统的基于梯度的控制方法。最后给出了数值仿真结果,验证了该方法的可行性和有效性。
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引用次数: 1
Detail Preserving Fast Median Based Filter 基于细节保持的快速中值滤波器
Pub Date : 2012-08-29 DOI: 10.14419/JACST.V1I4.248
G. Hanji, M. Latte
In this paper, a new nonlinear median based filtering technique is introduced for the enhancement of medical images that are highly contaminated by impulse noise. The proposed Detail Preserving Fast Median Filtering (DPFMF) technique is more effective in eliminating fixed value impulse noise and preserving the image details. The filter replaces a corrupted pixel by the median value of the fast median filter or by the value computed based on a unique criterion applied to the processed neighboring pixel values. The uncorrupted pixels are left undisturbed. Simulation studies show that the proposed filter can eliminate impulse noise of densities up to 80% while preserving the edges and fine details satisfactorily. The performance is evaluated by applying the proposed filter on different gray scale images and the superior results obtained in terms of subjective and objective evaluation are presented.
本文提出了一种新的基于非线性中值的滤波技术,用于对受脉冲噪声严重污染的医学图像进行增强。所提出的细节保持快速中值滤波(DPFMF)技术在消除固定值脉冲噪声和保持图像细节方面更有效。该滤波器通过快速中值滤波器的中值或基于应用于处理过的相邻像素值的唯一准则计算的值来替换损坏的像素。未损坏的像素不受干扰。仿真研究表明,该滤波器在保留图像边缘和细节的同时,能有效地消除密度脉冲噪声达80%。将该滤波器应用于不同灰度图像上,对其性能进行了评价,并从主观评价和客观评价两方面给出了较好的评价结果。
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引用次数: 6
An adaptive Power controlled routing in Wireless Ad hoc Networks 无线自组织网络中的自适应功率控制路由
Pub Date : 2012-08-26 DOI: 10.14419/JACST.V1I4.366
M. Ramalingam, Selvakumar Kannabiran
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引用次数: 0
Introducing Software-Based Fault Handling Mechanism to Cope with Electromagnetic Interference (EMI) in Digital Electronic Circuits 引入基于软件的数字电路电磁干扰故障处理机制
Pub Date : 2012-08-26 DOI: 10.14419/JACST.V1I4.230
Jinadu Olayinka, Oluwole Olusegun Arobieke, Kayode Idowu, O. Samuel
Digital circuits operating under radiation are subject to different kinds of permanent and transient effects. Most electromagnetic (EM) environment in which electronic systems have to operate is becoming increasingly hostile while dependence on electronics is widespread and increasing. The need for digital architectures to survive faults and remain dependable despite the multiple-fault injection nature of the electromagnetic interference (EMI) in microprocessors calls for the
在辐射下工作的数字电路受到各种永久和瞬态效应的影响。大多数电子系统必须运行的电磁(EM)环境变得越来越敌对,而对电子的依赖越来越广泛和增加。尽管微处理器中的电磁干扰(EMI)具有多故障注入性质,但数字架构仍需要在故障中存活并保持可靠性,这就要求
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引用次数: 0
Study of error control capability for the new moduli set ({2^{2n+1}+2^{n}-1, 2^{2n+1}-1, 2^{n}-1, 2^{3n},2^{3n+1}-1}) 新模集的误差控制能力研究 ({2^{2n+1}+2^{n}-1, 2^{2n+1}-1, 2^{n}-1, 2^{3n},2^{3n+1}-1})
Pub Date : 2012-08-26 DOI: 10.14419/JACST.V1I4.269
S. Modiri, A. Movaghar, A. Barati
In this paper, a new 3-moduli set {2 2n+1 +2 n -1, 2 2n+1 -1, 2 n -1} with an efficient residue-to-binary converter using mixed radix conversion algorithm is presented. Moreover, by adding two redundant modulus {2 3n , 2 3n+1 -1}, a new moduli set in redundant residue number system is provided that can correct up to (2n+2) error bits. Simulation results of the error control algorithm's functionality with C++ programming language for 10'000 different error bits states show that the average percent of error detection capability using the proposed moduli set by setting n=2 is equal to 77.97%.
本文给出了一个新的3模集{2 2n+1 +2 n - 1,2 2n+1 - 1,2 n -1},它具有一个有效的残二数转换算法。此外,通过增加两个冗余模{23n, 23n +1 -1},在冗余余数系统中提供了一个新的模集,该模集最多可纠错(2n+2)位。用c++编程语言对10000种不同的错误位状态进行了误差控制算法的仿真结果表明,设置n=2所提出的模集的误差检测能力平均百分比为77.97%。
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引用次数: 2
DFT domain Feature Extraction using Edge-based Scale Normalization for Enhanced Face Recognition 基于边缘尺度归一化的DFT域特征提取增强人脸识别
Pub Date : 2012-08-15 DOI: 10.14419/JACST.V1I3.212
K. Manikantan, S. Ramachandran
This paper proposes a novel preprocessing technique in order to improve the performance of a Face Recognition (FR) system. The proposed Edge-based Scale Normalization (ESN) process involves the use of scale normalization along with edge detection as a preprocessing technique in order to eliminate unwanted background details in face images. Feature extraction is performed on the preprocessed image using Discrete Fourier Transform (DFT). The DFT spectrums of these images extract the low frequency coefficients required for face recognition. These important features are selected through a rhombus-shaped mask around the center of the DFT spectrum. Further optimization in feature selection is achieved through Binary Particle Swarm Optimization (BPSO) technique. Experimental results, obtained by applying the proposed algorithm on Cambridge ORL and Extended YaleB face databases, show that the proposed system outperforms other FR systems. A significant increase in the recognition rate and a substantial reduction in the number of features is observed. Significant dimensionality reduction by more than 98.5% and improved recognition rate of 98% are achieved for both datasets. ∗Corresponding author, E-mail: kmanikantan@msrit.edu †E-mail: ramachandr@gmail.com DFT domain Feature Extraction using Edge-based Scale Normalization for Enhanced Face Recognition 135
为了提高人脸识别系统的性能,提出了一种新的预处理技术。提出的基于边缘的尺度归一化(ESN)过程包括使用尺度归一化和边缘检测作为预处理技术,以消除人脸图像中不需要的背景细节。利用离散傅立叶变换(DFT)对预处理后的图像进行特征提取。这些图像的DFT谱提取了人脸识别所需的低频系数。这些重要的特征是通过围绕DFT光谱中心的菱形掩模来选择的。通过二元粒子群优化(BPSO)技术实现特征选择的进一步优化。将该算法应用于Cambridge ORL和Extended YaleB人脸数据库的实验结果表明,该算法优于其他人脸识别系统。识别率显著提高,特征数量显著减少。两种数据集的维数均显著降低了98.5%以上,识别率提高了98%。*通讯作者,E-mail: kmanikantan@msrit.edu†E-mail: ramachandr@gmail.com基于边缘尺度归一化的DFT域特征提取增强人脸识别[j]
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引用次数: 2
Implementing Stack E6 via OS Linux Sockets 通过OS Linux Sockets实现Stack E6
Pub Date : 2012-07-24 DOI: 10.14419/JACST.V1I3.274
D. Zaitsev, Kharsun
New software implementation of Ukrainian national stack of networking protocols E6 was presented. Within operating system Linux kernel, families of E6 protocols and addresses were created as well as functions of their processing, in the form of a loadable module. Application of socket technology gives a series of considerable advantages among which unified with other stacks application interface, reuse of the kernel resources facilitating the further development and enterprise implementation of stack E6, engineering corresponding networking devices.
介绍了乌克兰国家网络协议栈E6的新软件实现。在操作系统Linux内核中,以可加载模块的形式创建了E6协议和地址族以及它们的处理功能。套接字技术的应用带来了一系列可观的优势,其中与其他栈应用接口的统一、内核资源的重用,便于栈E6的进一步开发和企业实施,工程化相应的网络设备。
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引用次数: 1
Artificial Neural Networks for Dairy Industry: A Review 人工神经网络在乳业中的应用综述
Pub Date : 2012-06-29 DOI: 10.14419/JACST.V1I3.109
S. Goyal
Artificial Neural Networks (ANNs) have been implemented in almost every field, viz., science, technology, medicine and engineering as they have proved useful tools for obtaining the desired output including the analyses and shelf life prediction in case of food products. This review discusses the systematic information available in the literature concerning the implementation of ANN models for shelf life determination of milk, various dairy products, viz., yoghurt, chocolate, butter, cheese, kalakand, dairy confections and milk based coffee drinks, which would be very useful for dairy industry, consumers, wholesalers, retailers, regulatory agencies, food researchers and academicians.
人工神经网络(ann)已经在几乎每个领域实施,即科学,技术,医学和工程,因为它们已被证明是获得所需输出的有用工具,包括食品的分析和保质期预测。本文综述了有关应用人工神经网络模型测定牛奶、各种乳制品(如酸奶、巧克力、黄油、奶酪、卡拉坎德、乳制品糖果和牛奶咖啡饮料)保质期的文献中现有的系统信息,这将对乳制品行业、消费者、批发商、零售商、监管机构、食品研究人员和学者非常有用。
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引用次数: 15
Content-based navigation within virtual museums 虚拟博物馆内基于内容的导航
Pub Date : 2012-06-20 DOI: 10.14419/JACST.V1I2.135
A. Koutsoudis, C. Makarona, G. Pavlidis
The ongoing evolution of the Internet has enabled web applications that use real time three-dimensional (3D) graphics and virtual environments. Moreover, in recent years, cultural technology has also flourished notably. Virtual museums represent one significant application that combines culture with modern technologies and the internet, requiring an interdisciplinary approach aiming both at dissemination and education. We present our approach to enhance virtual museums by incorporating content-based retrieval that refers to 3D objects. In this context, a virtual visitor is able to navigate within the museum, examine the exhibited artifacts and perform queries-byexample in order to locate the position of related artifacts. The retrieval mechanism responds to the visitor’s queries by indicating similar artifacts, which are ranked according to their similarity scores. This way, the visitor is able to navigate within a virtual museum not only by means of a virtual walkthrough but also by means of the context.
Internet的持续发展使得使用实时三维(3D)图形和虚拟环境的web应用程序成为可能。此外,近年来,文化技术也蓬勃发展。虚拟博物馆代表了一种将文化与现代技术和互联网相结合的重要应用,需要一种跨学科的方法,旨在传播和教育。我们提出了通过结合基于内容的检索来增强虚拟博物馆的方法,该检索涉及3D对象。在这种情况下,虚拟访客能够在博物馆内导航,检查展出的文物并执行查询,以确定相关文物的位置。检索机制通过指示相似的工件来响应访问者的查询,这些工件根据其相似度评分进行排序。通过这种方式,游客不仅可以通过虚拟漫游,还可以通过上下文在虚拟博物馆中导航。
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引用次数: 12
Identifying aspects of Ambient Intelligence through a review of recent developments 通过对最近发展的回顾,确定环境智能的各个方面
Pub Date : 2012-06-20 DOI: 10.14419/JACST.V1I3.136
Maria Charalampidou, S. Mouroutsos, G. Pavlidis
It has already been realized by the scientific and technical community that a new form of technology is going to lead the future technological developments. This technology will be more humancentric and will be more and more “hidden” within everyday-life objects. It will be smarter, personalized, pervasive and ubiquitous. This technology includes what is called Ambient Intelligence (AmI). In this paper, we identify the main aspects of AmI through a review of the recent developments that have been achieved in these aspects of AmI and Ambient Intelligence Environments (AmIEs), as well as point out the problems yet to be solved and the visions of the future.
科技界已经认识到,一种新的技术形式将引领未来的技术发展。这项技术将更加以人为中心,并将越来越多地“隐藏”在日常生活物品中。它将变得更加智能、个性化、无处不在。这项技术包括所谓的环境智能(AmI)。在本文中,我们通过对人工智能和环境智能环境(AmIEs)在这些方面取得的最新进展的回顾,确定了人工智能的主要方面,并指出了尚未解决的问题和未来的愿景。
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引用次数: 4
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Journal of Advanced Computer Science and Technology
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