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2018 International Conference on Sustainable Energy, Electronics, and Computing Systems (SEEMS)最新文献

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A Novel Scheme for Integration of PV System with AC Grid 一种光伏系统与交流电网并网的新方案
P. Sharma, M. A. Ansari, N. Pal, V. Bohra
This paper describes the integration of solar/photovoltaic system (PV) with an AC grid using a two stage configuration. Boost converter and voltage source converter (VSC) are the two stages of interface between PV module and grid. A PV module is implemented using 3-Diode model which is cascaded to the boost converter which amplifies PV output voltage to controlled dc link voltage. The boost converter output voltage is fed to a 3-phase VSC which converts this voltage into ac in order to be fed to the grid. To control the power fed to the grid, appropriate controllers are needed which have been designed based on k-factor.
本文介绍了采用两级配置的太阳能/光伏系统与交流电网的集成。升压变换器和电压源变换器是光伏组件与电网之间的两级接口。光伏模块采用3二极管模型实现,该模型级联到升压变换器,升压变换器将PV输出电压放大到受控直流链路电压。升压转换器输出电压被馈送到一个三相VSC,它将这个电压转换成交流电,以便被馈送到电网。为了控制输电网的功率,需要根据k因子设计合适的控制器。
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引用次数: 4
Regular Shuffle Exchange Interconnection Networks: Review and Comparison 定期Shuffle交换互联网络:回顾与比较
S. Gupta, G. L. Pahuja
Execution of super PC frameworks significantly relies on the interconnections of its segments, for example, processor and their memory modules. Because of expanding number of hubs in super PC frameworks Multistage Interconnection Networks (MIN) are generally utilized as interconnection systems for these frameworks. To have superb execution of such frameworks, MIN must be fault tolerant, dynamically re-routable, cost effective and above all ultra reliable. Hence it has greatly attracted the interest of researchers to enhance reliability of MIN. Shuffle Exchange Networks (SEN) is vital as MIN for actualizing above errand. In spite of the fact that significant work has been done on SEN, yet (i) Literature lacks in organization and classification of SEN MIN and, (ii) There exist no examination of various properties, for example, Reliability, Fault-tolerance, Cost effectiveness, Path length and so on. In this paper we have proposed classification of SEN MIN, and also compared above mentioned parameters of all regular SEN MIN proposed till date to the best of our insight. This investigation will permit to comprehend and select suitable SEN for the concerned application relying on the accessibility of cost and so on.
超级PC框架的执行很大程度上依赖于其部分的互连,例如,处理器及其内存模块。由于超级PC框架中集线器的数量不断增加,多级互连网络(multi - stage Interconnection network, MIN)被普遍用作这些框架的互连系统。要使这些框架具有出色的执行力,MIN必须具有容错性、动态重路由、成本效益和最重要的超可靠性。因此,如何提高最小值网络的可靠性成为研究人员关注的焦点。随机交换网络(Shuffle Exchange Networks, SEN)作为最小值网络,对于实现上述目标至关重要。尽管在SEN方面已经做了大量的工作,但是(i)文献缺乏对SEN MIN的组织和分类,(ii)没有对各种属性进行检查,例如可靠性,容错性,成本效益,路径长度等。在本文中,我们提出了SEN MIN的分类,并比较了迄今为止提出的所有常规SEN MIN的上述参数。这项调查将有助于了解和根据可及性、成本等因素,为有关的应用选择合适的环境可持续发展指标。
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引用次数: 3
A Comparison of Service Quality on Customer Satisfaction towards Music Product Website in Indonesia and India 印尼与印度音乐产品网站服务品质满意度之比较
R. Kusumawati, T. Oswari, Tristyanti Yusnitasari, Himanshu Dutt, V. K. Shukla
The development of information technology has opened the eyes of the world to a new world, new interactions, new market place, and an infinite business network. One proof of the development of these technologies is the Internet, which is causing information technology to make a positive impact on the people. Quite much it has changed the lifestyle of primitive Indonesian and Indian society transforming them into modern societies – an evolving parabola. For instance, it has created new types of business opportunities where business transactions are increasingly being made electronically, referred to as click and mortar. There has been an increased awareness about almost everything – from traditional product selling through booking orders to downloading commodities like entertainment (read music), for instant consumption. The growing popularity of such websites shows a rise in their demand but what is not clear is satisfaction customers may have with them. This research places an effort to understand the effect of service quality on customer satisfaction on music product websites with respondents from Indonesia and India, and compares are there any differences in consumer attitudes in these countries. It was observed that responsiveness, assurance, and empathy affect on customer satisfaction of music product website and tangibles, reliability and responsiveness have same impact for both countries, but assurance, empathy and customer satisfaction differ. This is an important milestone in understanding customer's intention in buying music online in both the countries.
信息技术的发展已经打开了世界的眼睛,一个新的世界,新的互动,新的市场,和无限的商业网络。互联网是这些技术发展的一个证明,它使信息技术对人们产生了积极的影响。它在很大程度上改变了原始印尼和印度社会的生活方式,将他们转变为现代社会——一个不断发展的抛物线。例如,它创造了新的商业机会,商业交易越来越多地以电子方式进行,被称为点击和砂浆。人们对几乎所有事情的意识都在增强——从通过预订订单销售的传统产品,到下载娱乐(阅读音乐)等商品,以供即时消费。这类网站越来越受欢迎,表明它们的需求在上升,但尚不清楚客户对它们是否满意。本研究旨在了解服务质量对音乐产品网站客户满意度的影响,并与来自印度尼西亚和印度的受访者进行比较,以了解这些国家的消费者态度是否存在差异。研究发现,响应性、保证性和共情性对音乐产品网站的顾客满意度有影响,而有形产品、可靠性和响应性对两国的影响相同,但保证性、共情性和顾客满意度存在差异。这是了解两国消费者在线购买音乐的意图的一个重要里程碑。
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引用次数: 0
SEEMS 2018 Preface SEEMS 2018前言
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引用次数: 0
Fuzzy Inference Systems Applied to the Combining Regression Models 模糊推理系统在组合回归模型中的应用
M. Kurzynski, Maciej Krysmann, Jakub Kozerski
Ensemble regression systems combine regression models expecting that several models outperform any single base model in prediction accuracy. To achieve a common prediction, individual models are combined using two techniques: model selection and ensemble integration. The concept of model accuracy in the input space plays the crucial role in the dynamic selection and integration of base models. The model accuracy for any test sample in the input space can be calculated in a two-step procedure which is a typical scheme of supervised machine learning. First, the accuracy set, i.e., the set of model accuracies for all validation samples is created. Then, on the base of the accuracy set, accuracy measure (function) is constructed using a supervised learning method. In this paper, the second step of the procedure is addressed by constructing accuracy measure of base model using fuzzy inference engines. Two methods are developed and applied in the ensemble system with dynamic scheme of models selection and integration: Mamdani and Takagi-Sugeno-Kang fuzzy inference systems. Both fuzzy inference systems were experimentally tested and compared against 6 literature methods of combining base models using 25 benchmark databases and three homogeneous pools of base models, containing multilayer perceptrons, 5-nearest neighbor models and linear regression models. The experimental results clearly show the effectiveness of the proposed supervised learning algorithm using fuzzy reasoning systems for dynamic selection and integration of the homogeneous ensemble of base models.
集成回归系统将回归模型组合在一起,期望几个模型在预测精度上优于任何一个基本模型。为了实现共同的预测,使用两种技术将单个模型组合起来:模型选择和集成集成。输入空间中模型精度的概念在基础模型的动态选择和集成中起着至关重要的作用。输入空间中任意测试样本的模型精度可以通过两步计算得到,这是一种典型的监督机器学习方案。首先,创建精度集,即所有验证样本的模型精度集。然后,在准确度集的基础上,采用监督学习的方法构造准确度测度(函数)。本文通过使用模糊推理引擎构造基本模型的精度度量来解决该过程的第二步。在模型选择和集成的动态方案集成系统中,提出了Mamdani模糊推理系统和Takagi-Sugeno-Kang模糊推理系统两种方法。采用25个基准数据库和包含多层感知器、5近邻模型和线性回归模型的3个同构基模型池,对两种模糊推理系统进行了实验测试,并与6种结合基模型的文献方法进行了比较。实验结果清楚地表明,所提出的基于模糊推理系统的监督学习算法对基本模型的齐次集合进行动态选择和集成是有效的。
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引用次数: 2
Load Flow Analysis of IEEE 14 Bus System Using ANN Technique 基于神经网络技术的IEEE 14总线系统负荷流分析
Satyam Tiwari, M. A. Ansari, Krishan Kumar, Sankalp Chaturvedi, Mukul Singh, Suresh Kumar
Load flow studies are introduced to acquire voltage, active and reactive power and load angle at every bus of power system to dissect its steady state conditions. Distinctive artificial neural network are produced for estimation of bus voltages and other obscure parameters of the system. A feed-forward back propagation network with sundry learning algorithms are created to acquire bus parameters. The proposed method is authenticated through a MATLAB simulation.
引入潮流研究,获取电力系统各母线的电压、有功、无功功率和负载角,剖析其稳态状态。利用独特的人工神经网络对母线电压和系统中其他模糊参数进行估计。采用多种学习算法建立了前馈反传播网络获取总线参数。通过MATLAB仿真验证了该方法的有效性。
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引用次数: 9
SEEMS 2018 Distinguished Speakers 2018年杰出演讲嘉宾
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引用次数: 0
Identifying the Stabilizing Regions of PI Controller based on Frequency Specifications for a Lab Scale Distillation Column 基于频率指标的实验室蒸馏塔PI控制器稳定区域识别
R. Janani, Vinayambika S. Bhat, I. Thirunavukkarasu, V. I. George
In this article the authors have made an attempt to design and validate the PI controller based on the frequency based specifications on a lab scale distillation column. In general, the literature reveals the controller design based a specific formula, which leads to a static controller. In lab/Industrial scale most of the processes are dynamic in nature, hence the static controller concepts fail to prove its effectiveness in the presence of dynamic behaviors of the plant. In this article, wide range of stable $mathrm {K}_{mathrm {p}}$ and Ki values are plotted with fixed Kd for specific gain and phase margin. The design engineers are permitted to select any $mathrm {K}_{mathrm {p}}$ and Ki values based on the closed loop specifications required. The presented algorithm is simulated for the closed loop response of the lab scale binary distillation column model identified by Vinaya and Arasu [6], [7], [8]. The closed loop simulation with 30% uncertainty in all process parameters are also analyzed presented in this article. The Performance measure calculations for servo and regulatory responses are also reported. The experimental validation of the given control algorithm on a lab scale pilot plant distillation column is also found satisfactory to prove the control algorithm effectiveness.
本文尝试在实验室规模精馏塔上设计并验证了基于频率的PI控制器。一般来说,文献揭示了基于特定公式的控制器设计,这导致静态控制器。在实验室/工业规模中,大多数过程本质上是动态的,因此静态控制器概念无法证明其在工厂动态行为存在下的有效性。在本文中,绘制了大范围稳定的$mathrm {K}_{mathrm {p}}$和Ki值,并以固定的Kd表示特定的增益和相位裕度。设计工程师可根据闭环要求选择任意$mathrm {K}_{mathrm {p}}$和Ki值。对Vinaya和Arasu[6]、[7]、[8]确定的实验室规模二元精馏塔模型进行闭环响应仿真。文中还对全工艺参数不确定度为30%的闭环仿真进行了分析。还报道了伺服和调节响应的性能测量计算。该控制算法在实验室规模中试精馏塔上的实验验证也令人满意,证明了控制算法的有效性。
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引用次数: 2
Comparing Various Filtering Techniques for Reducing Noise in MRI MRI中各种降噪滤波技术的比较
Sneha Tiruwa, R. Yadav
To form high quality of human brain images the Magnetic Resonance Imaging plays a vital role in the medical imaging. MRI is used for the detection of brain, prostrate cancers etc. for the structural visualization, functions of tissues and other organs in the body. MRI basic principal over whom it works is NMR and specifically the field gradient NMR. Different noises for example salt and pepper noise, speckle noise, Gaussian noise, is prone to suffer from the MRI diagnosis images. Therefore acquiring accurate brain images is a very complicated task. Algorithms for image processing are implemented to capture MRI data and for its de-noising.MRI images for de-noising various techniques have been presented also each method have its own assumption, merits and demerits. The performance evaluation of these techniques is considered based on the parameters like PSNR and MSE.
为了形成高质量的人脑图像,磁共振成像在医学成像中起着至关重要的作用。MRI用于脑癌、前列腺癌等的检测,用于身体组织和其他器官的结构可视化、功能。核磁共振成像的基本原理是核磁共振,特别是场梯度核磁共振。不同的噪声,如椒盐噪声、斑点噪声、高斯噪声等,是MRI诊断图像中容易出现的噪声。因此,获取准确的脑图像是一项非常复杂的任务。实现了图像处理算法来捕获MRI数据及其去噪。MRI图像去噪的方法有很多,每一种方法都有自己的假设和优缺点。基于PSNR和MSE等参数对这些技术进行性能评价。
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引用次数: 4
Informatian Retrieval of Indonesian Translated version of Al Quran and Hadith Bukhori Muslim 印尼语古兰经和穆斯林圣训的信息检索
Irfan Humaini, Tristyanti Yusnitasari, Lily Wulandari, Diana Ikasari, Himanshu Dutt
This paper discusses other ways that can be used to obtain information on the translation of Indonesian Alqur’an and hadith that is by using Information Retrieval Technique which the process is tokenizing, stopword removal and steamming. The stemming method used in this study is ECS (Enhance Confix Stripping). The database consists of hadith documents Bukhori Muslim numbered 7008 number of traditions and Al Quran translation 30 Juz from the Ministry of Religious Affairs of the Republic of Indonesia. The resulting system can speed up the search process on the Indonesian translation of the Qur’an and Hadith and obtain relevant information.
本文讨论了印尼语《古兰经》和《圣训》翻译信息的其他获取方法,即利用信息检索技术对印尼语《古兰经》和《圣训》的翻译信息进行标记化、停词去除和蒸汽化处理。本研究使用的词干提取方法为ECS (enhanced Confix Stripping)。该数据库包括布霍里穆斯林的圣训文件,编号为7008,传统数量和印度尼西亚共和国宗教事务部的古兰经译本30 Juz。由此产生的系统可以加快对古兰经和圣训印尼语翻译的搜索过程,并获得相关信息。
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引用次数: 6
期刊
2018 International Conference on Sustainable Energy, Electronics, and Computing Systems (SEEMS)
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