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2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)最新文献

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Optimal configuration of PV-Wind turbine-grid-battery in low potency energy resources 低潜能能源条件下光伏-风力发电机组-电网-电池的优化配置
S. N. G. Dhanis Woro Fittrin, F. Danang Wijaya, S. P. Hadi
As an increasing of load demand, scarcity of fossil fuel and green house effect, utilization of renewable energy resources such as solar and wind energy are done seriously. The problem rises when potency of them is far smaller than load demand and the high difference between wind velocity profile and solar radiant intensity and load profile is happened. Its make excess electricity to be higher so the electrical production cost to be higher too. The purpose of this research is designing optimal configuration of microgrid PV-Wind turbine-Grid-Battery through optimization of load capacity to reduce excess electricity. Some parameters of optimal configuration are used to evaluate them, namely electrical production cost, reliability, CO2 coming from life cycle assessment, area of installation and unemployment reduction. Software HOMER version 2.68 Beta from NREL is used to simulate alternative configuration of microgrid. The results show that distribution total load into some sub-microgrids gives the positive impact, namely smaller electrical production cost, higher reliability, minimum CO2, relative smaller area of installation and unemployment reduction.
随着负荷需求的增加、化石燃料的稀缺和温室效应的影响,太阳能、风能等可再生能源的利用受到重视。当风力发电能力远远小于负荷需求,且风速廓线与太阳辐射强度和负荷廓线之间存在较大差异时,问题就出现了。它使过剩电量更高,因此电力生产成本也更高。本研究的目的是通过优化负荷能力,设计微网光伏-风力发电机组-电网-蓄电池的最优配置,以减少多余电量。采用最优配置参数对其进行评价,即电力生产成本、可靠性、生命周期CO2排放、安装面积和减少失业。使用NREL的HOMER 2.68 Beta软件模拟微电网的备选配置。结果表明,将总负荷分配到部分亚微电网中会产生积极的影响,即更小的电力生产成本、更高的可靠性、最小的二氧化碳、相对较小的安装面积和减少失业。
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引用次数: 4
A face detector based on color and texture 基于颜色和纹理的人脸检测器
M. Mahmoodi, S. Sayedi
Face detection is one of the most important parts of biometrics and face analysis science. Numerous methods and algorithms have been developed in recent years; however, there is a sensible gap between the current detection rate and the ideal one yet. In this paper, a novel multi-stage face detection method is proposed which can remarkably detect faces in different images with different illumination conditions, variety of poses and disparate sizes. The idea is to utilize a preprocessing step to filter many non-face windows by means of a skin segmentation procedure in order to boost the speed of the detection and also utilize the color information as much as possible. Subsequently, candidate windows are fed to a Local Hierarchical Pattern (LHP) generator unit where a new texture pattern is produced. Based on this pattern, a kernel probability map is calculated for each window, and by summing probabilities of all kernels and comparing it with a predefined threshold, decision is made about content of the window. This algorithm not only effectively eliminates many non-face regions, but also it is capable of detecting faces with relatively acceptable rates.
人脸检测是生物识别和人脸分析科学的重要组成部分之一。近年来开发了许多方法和算法;然而,目前的检出率与理想的检出率之间还有很大的差距。本文提出了一种新的多阶段人脸检测方法,该方法可以在不同光照条件、不同姿态和不同尺寸的不同图像中显著地检测出人脸。其思想是利用预处理步骤,通过皮肤分割程序过滤许多非人脸窗口,以提高检测速度,并尽可能地利用颜色信息。随后,候选窗口被馈送到局部分层模式(LHP)生成单元,在该单元中产生新的纹理模式。基于此模式,计算每个窗口的核概率映射,并通过将所有核的概率相加并将其与预定义的阈值进行比较,对窗口的内容做出决策。该算法不仅有效地消除了许多非人脸区域,而且能够以相对可接受的速度检测人脸。
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引用次数: 5
An integrated model of customer repurchase intention in B2C e-commerce B2C电子商务中顾客再购买意愿的集成模型
Saowakhon Homsud, Singha Chaveesuk
Website is a key determinant of e-business survival, competitive advantage, and success. Developing and controlling quality of website that response different consumer needs can affect customer satisfaction and repurchase intention. This study constructed an integrated model of customer repurchase intention in B2C e-commerce based on DeLoan and McLean's IS success model for testing the relationships among website quality, internet shopping value, customer trust, customer satisfaction, and customer repurchase intention. Then, empirical testing examines the effect of B2C website qualities on the internet shopping value and subsequent customer repurchases intention. A survey of 384 shoppers of B2C e-commerce was conducted to test a model. The model was shown a significant fit. Results showed that system quality had a significant impact on the hedonic shopping value, information quality had a significant impact on the utilitarian shopping value, and service quality had a significant impact both on the utilitarian and hedonic shopping value. Moreover, results also showed that utilitarian shopping value, customer trust and customer satisfaction had direct positive effect on customer repurchase intention.
网站是电子商务生存、竞争优势和成功的关键决定因素。开发和控制响应不同消费者需求的网站质量,可以影响顾客满意度和再购买意愿。本研究基于DeLoan和McLean的IS成功模型构建了B2C电子商务中顾客再购买意愿的整合模型,以检验网站质量、网络购物价值、顾客信任、顾客满意度和顾客再购买意愿之间的关系。然后,实证检验B2C网站质量对网络购物价值和后续顾客再购买意愿的影响。通过对384名B2C电子商务购物者的调查来检验模型。该模型显示出了显著的拟合。结果表明,制度质量对享乐性购物价值有显著影响,信息质量对功利性购物价值有显著影响,服务质量对功利性购物价值和享乐性购物价值均有显著影响。此外,结果还显示功利购物价值、顾客信任和顾客满意对顾客再购买意愿有直接的正向影响。
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引用次数: 3
Flower pollination algorithm for optimal control in multi-machine system with GUPFC 基于GUPFC的多机系统花卉授粉最优控制算法
Mohammad Musofa Mulya Pambudy, S. P. Hadi, H. Ali
This paper proposes flower pollination method implemented in multi-machine system with generalized unified power flow controller (GUPFC). Flower pollination method was used to provide parameters of two stage lead-lag controller. The controller provides supplementary signals for PSS and POD. The study was carried out to determine the stability of the multimachine power system without and with GUPFC. The results show that the addition of GUPFC optimized by proposed method is able to decrease the initial value of oscillations, overshoot, and settling time that happened. In addition, system's eigenvalues shifted toward the left half plane of complex coordinate.
提出了一种基于广义统一潮流控制器(GUPFC)的多机传粉方法。采用传粉法给出了两阶段超前滞后控制器的参数。控制器为PSS和POD提供补充信号。对多机电力系统的稳定性进行了研究,以确定无和有GUPFC的多机电力系统的稳定性。结果表明,加入经该方法优化的GUPFC后,系统振荡的初始值、超调量和稳定时间均有所降低。此外,系统的特征值向复坐标的左半平面偏移。
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引用次数: 26
A neural network structure with parameter expansion for adaptive modeling of dynamic systems 用于动态系统自适应建模的参数展开神经网络结构
Erwin Sitompul
A new neural network structure for adaptive modeling of dynamic system is presented in this paper. Based on multi-layer perceptron (MLP), the network possesses parameter expansion and external recurrence. Parameter expansion is obtained by using tapped delay lines (TDLs) to the outputs of the hidden layer. This increases the number of parameters between the hidden layer and the output layer. Furthermore, external recurrence is obtained by connecting the output and the input of the network. Proper learning algorithm is derived to accommodate the aforementioned modifications. Afterwards, the network is integrated in an adaptive scheme so that it can model systems with changing property or operating condition. The application in modeling of a water tank system demonstrates the ability of the proposed scheme.
提出了一种新的用于动态系统自适应建模的神经网络结构。该网络基于多层感知器(MLP),具有参数展开性和外部递归性。通过对隐层输出使用抽头延迟线(tdl)实现参数展开。这增加了隐藏层和输出层之间的参数数量。此外,通过连接网络的输出和输入,得到外部递归。并推导出适当的学习算法以适应上述修改。然后,将网络集成到一个自适应方案中,使其能够对属性或运行条件变化的系统进行建模。在水箱系统建模中的应用验证了该方法的有效性。
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引用次数: 0
Comparison of economic models for two differently configured uninterrupted power supply systems from user electricity bill perspective 从用户电费角度比较两种不同配置的不间断供电系统的经济模型
Awais Yousaf, Onaiza Yousaf, Durdana Yousaf
In this paper, prevalent use of flooded lead acid batteries as a backup for energy with Uninterrupted Power Supply Systems (UPS) in homes is investigated. An analysis for two different UPS Battery configurations and their comparison with battery life is presented. In one configuration, inverter and battery charger of UPS, which is connected to a battery have good power factors and design. In the second configuration, inverter and battery charger of UPS have poor power factors and design but is connected to the same battery. Based on developed economic model and battery life comparison illegal use of flooded batteries is identified.
在本文中,普遍使用淹水铅酸电池作为后备能源与不间断电源系统(UPS)在家庭进行了调查。分析了两种不同的UPS电池配置,并对其电池寿命进行了比较。在一种配置中,UPS的逆变器和电池充电器连接到电池上,具有良好的功率因数和设计。在第二种配置中,UPS的逆变器和电池充电器的功率因数和设计都很差,但连接的是同一块电池。通过对已开发的经济模型和电池寿命的比较,确定了液浸电池的非法使用。
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引用次数: 0
C2C E-Commerce trust level measurement and analysis in Indonesia 印尼C2C电子商务信任水平测量与分析
S. A. Hadi, James Purnama, Moh A. Amin Soetomo, M. Galinium
The purpose of this study is to find the level of trust of Indonesian consumers to C2C E-Commerce system in Indonesia. There are four antecedents of consumer trust will be measured and analysed to search the Indonesian C2C E-Commerce trust of Indonesian consumers. This study used the previous study that has been conducted about B2C E-Commerce system in Indonesia and also the similar study that has been conducted in United States of America. Gathering the data using online questionnaire and verify the data by interview some respondents, Structural Equation Modelling, Confirmatory Factor Analysis, and Squared Multiple Correlations were conducted in this study. Results from this study shows that the trust level of Indonesian consumers toward C2C E-Commerce system in Indonesia only 10.7%. Surprisingly, the users of C2C E-Commerce system are high, but the trust level is low, this is because of the third party recognition and some sellers do not provide a payment method that the buyers want and also there is no function that shows the reputation score of sellers.
本研究的目的是找出印尼消费者对印尼C2C电子商务系统的信任程度。消费者信任的四个前因将被测量和分析,以搜索印尼C2C电子商务印尼消费者的信任。本研究使用了先前在印度尼西亚进行的关于B2C电子商务系统的研究,以及在美国进行的类似研究。本研究采用在线问卷调查的方式收集数据,并对部分调查对象进行访谈验证,采用结构方程建模、验证性因子分析、平方多重相关分析等方法进行研究。本研究结果显示,印尼消费者对C2C电子商务系统的信任度仅为10.7%。令人惊讶的是,C2C电子商务系统的用户数量很高,但信任程度却很低,这是因为第三方认可,一些卖家没有提供买家想要的支付方式,也没有显示卖家信誉评分的功能。
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引用次数: 4
Release of masking and FAME performance evaluation to improve speech intelligibility on cochlear implant 释放掩蔽和FAME性能评估提高人工耳蜗语音清晰度
S. S. Suprapto, D. Arifianto, Sekartedjo
Cochlear implant (CI) is a hearing aid for people with profound deafness, inability to respond to a sound stimulus above 90dB SPL. The main problem of CI user is the inability to discriminate simultaneous incoming sounds, focusing on the desired sound (target) whilst ignoring the rest (cocktail party problem). In this research, the release of masking strategy is introduced to give a glimpse of acoustical cues for CI user to make the discrimination easier in the presence of background noise (masker). We evaluated the performance release of masking with various combinations of target sound channel vocoder (the sound that want to hear) with respect to masker channel. For further enhancement, we also evaluated spectral subtraction (SS), Ephraim-Malah, and Frequency Amplitude Modulation Encoding (FAME) to improve intelligibility of channelized sounds. The results showed that the release of masking may have improve the intelligibility on CI users to access temporal structure of waveform of simultaneous stimuli. The best enhancement method is FAME with PESQ value 1.4 and % correct word increased to 72%.
人工耳蜗(Cochlear implant, CI)是一种用于深度耳聋患者的助听器,这些患者无法对超过90dB声级的声音刺激做出反应。CI用户的主要问题是无法区分同时传入的声音,专注于期望的声音(目标)而忽略其他声音(鸡尾酒会问题)。本研究引入掩蔽策略的释放,为CI用户提供一种声学线索的一瞥,使其在背景噪声(掩蔽器)存在的情况下更容易识别。我们用不同组合的目标声道声码器(想要听到的声音)相对于掩蔽声道来评估掩蔽的性能释放。为了进一步增强,我们还评估了频谱减法(SS)、Ephraim-Malah和频率幅度调制编码(FAME)来提高信道化声音的可理解性。结果表明,掩蔽的释放可能提高了CI使用者对同时刺激波形时间结构的可理解性。最佳的增强方法是FAME, PESQ值为1.4,正确率提高到72%。
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引用次数: 0
Automated document classification for news article in Bahasa Indonesia based on term frequency inverse document frequency (TF-IDF) approach 基于词频逆文档频率(TF-IDF)方法的印尼语新闻文章自动文档分类
Ari Aulia Hakim, Alva Erwin, Kho I Eng, M. Galinium, W. Muliady
The exponential growth of the data may lead us to the information explosion era, an era where most of the data cannot be managed easily. Text mining study is believed to prevent the world from entering that era. One of the text mining studies that may prevent the explosion era is text classification. It is a way to classify articles into several predefined categories. In this research, the classifier implements TF-IDF algorithm. TF-IDF is an algorithm that counts the word weight by considering frequency of the word (TF) and in how many files the word can be found (IDF). Since the IDF could see the in how many files a term can be found, it can control the weight of each word. When a word can be found in so many files, it will be considered as an unimportant word. TF-IDF has been proven to create a classifier that could classify news articles in Bahasa Indonesia in a high accuracy; 98.3%.
数据的指数级增长可能会将我们带入信息爆炸时代,这是一个大多数数据无法轻松管理的时代。文本挖掘研究被认为可以阻止世界进入那个时代。文本分类是防止爆炸时代的文本挖掘研究之一。这是一种将文章划分为几个预定义类别的方法。在本研究中,分类器实现了TF-IDF算法。TF-IDF是一种通过考虑单词的频率(TF)和可以在多少个文件中找到单词(IDF)来计算单词权重的算法。由于IDF可以看到一个词可以在多少个文件中找到,所以它可以控制每个词的权重。当一个单词可以在这么多的文件中找到时,它将被认为是一个不重要的单词。TF-IDF已被证明可以创建一个分类器,可以对印尼语的新闻文章进行高精度分类;98.3%。
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引用次数: 84
An improved maximum efficiency control for dual-motor drive systems 改进了双电机驱动系统的最高效率控制
Luiz R. Ramelan, E. Firmansyah, Tian‐Hua Liu, Shao-Kai Tseng, Jing-Wei Hsu
A maximum efficiency control for a dual-motor drive system is presented in this paper. The torque sharing between two motors is optimized by using the perturbation and observation method. A fuzzy-logic controller is implemented for the perturbation and observation method. As a result, the step of perturbation can be adaptively modified to improve the performance. In addition, a simple calculation is used to achieve real-time efficiency measurement. The proposed method is implemented on two identical 2 kW permanent magnet synchronous motors connected in parallel. Finally, experimental results validate the proposed control scheme performance.
提出了一种双电机驱动系统的最大效率控制方法。采用摄动观察法优化了两电机之间的转矩共享。对扰动和观测方法采用了模糊逻辑控制器。因此,可以自适应地修改扰动步长以提高性能。此外,采用简单的计算方法实现了实时的效率测量。该方法在两台并联的2kw永磁同步电动机上实现。最后,实验结果验证了所提控制方案的性能。
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引用次数: 6
期刊
2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)
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