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2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)最新文献

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Design and development of a fuzzy-PLC for an earthquake simulator/shake table 地震模拟器/振动台模糊plc的设计与开发
R. Baldovino, E. Dadios
This study presents the development of a fuzzy logic controller (FLC) for an earthquake simulator or shake table. This includes the use of a Programmable Logic Controller (PLC) as the main controller and the Variable Frequency Drive (VFD) as the motor's inverter drive. Combination of ladder logic diagrams (LLD), structured texts (ST) and function block diagrams (FBD) were used to code the fuzzy program. The FLC was built with 36 rules from the two (2) inputs, Actual Error or Δ Speed and Actual Error Rate or Rate of Δ Speed, having six (6) membership functions each: Neg_Large, Neg_Medium, Neg_Small, Pos_Small, Pos_Medium and Pos_Large. Mini-fuzzy associative matrix (FAM) was also introduced in the study to reduce the number of computational rules by 75%. Center of gravity (COG) was the defuzzification technique used to convert the fuzzy outputs into crisp real data due to the simplicity of its computation in providing fast results. The proposed fuzzy controller was based from the data feedback value of the drive to attain the desired motor speed. The controller was able to consider the effect of different load variations in different loadings.
本研究提出一种用于地震模拟器或振动台的模糊逻辑控制器(FLC)。这包括使用可编程逻辑控制器(PLC)作为主控制器和变频驱动器(VFD)作为电机的逆变驱动器。采用梯形逻辑图(LLD)、结构化文本(ST)和功能块图(FBD)相结合的方法对模糊程序进行编码。FLC由两(2)个输入(实际错误或Δ速度和实际错误率或Δ速度)中的36个规则构建而成,每个都有六(6)个成员函数:Neg_Large, Neg_Medium, Neg_Small, Pos_Small, Pos_Medium和Pos_Large。本研究还引入了迷你模糊关联矩阵(FAM),将计算规则的数量减少了75%。重心(Center of gravity, COG)是一种将模糊输出转化为清晰真实数据的去模糊化技术,其计算简单,结果快速。所提出的模糊控制器是基于驱动器的数据反馈值来达到期望的电机速度。该控制器能够在不同负载下考虑不同负载变化的影响。
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引用次数: 13
A small vocabulary automatic filipino speech profanity suppression system using hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) keyword spotting framework 基于隐马尔可夫模型/人工神经网络(HMM/ANN)混合关键字识别框架的小词汇量菲律宾语脏话自动抑制系统
Fernando I. Ablaza, Timothy Oliver D. Danganan, Bryan Paul L. Javier, Kevin S. Manalang, Denise Erica V. Montalvo, L. Ambata
This paper describes an implementation of speech recognition that recognizes and suppresses ten (10) defined profane and vulgar Filipino words. The adapted speech recognition architecture was that of the Oregon Graduate Institute's (OGI) Center for Spoken Language and Learning (CSLU). It utilizes a hybrid Hidden Markov Model/ Artificial Neural Network (HMM/ANN) keyword spotting framework. The feature extraction method used was Mel-Frequency Cepstral Coefficients (MFCC). The ANN is a 3-layer feedforward neural network using Multi-Layer Perceptron (MLP). In recognizing the words, an HMM decoder was used which implemented the Viterbi Beam Search Algorithm. Whenever a profane word was recognized, it would be replaced with a constant frequency tone. The training and testing data (recordings) were gathered from 30 random (15 male and 15 female) Filipino speakers.
本文描述了一种语音识别的实现,它可以识别和抑制十(10)个定义为亵渎和粗俗的菲律宾词。改编的语音识别架构是俄勒冈研究生院(OGI)口语和学习中心(CSLU)的。它利用隐马尔可夫模型/人工神经网络(HMM/ANN)混合关键字识别框架。特征提取方法为Mel-Frequency Cepstral Coefficients (MFCC)。该神经网络是一个采用多层感知器(MLP)的三层前馈神经网络。在单词识别中,采用HMM解码器实现维特比波束搜索算法。每当一个亵渎的词被识别出来,它就会被一个恒定频率的音调所取代。训练和测试数据(录音)是随机从30名菲律宾人(15名男性和15名女性)中收集的。
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引用次数: 4
Molecular dynamics study on the effects of varying temperature and pressure on phosphatidylcholine lipids for microalgae drying 微藻干燥过程中不同温度和压力对磷脂酰胆碱脂影响的分子动力学研究
Melsa Rose D. Ducut, A. R. Villagracia, J. Corpuz, N. Arboleda, M. David, R. Manrique, A. Ubando, A. Culaba
In pursuit of finding a more suitable way of drying microalgae that would require less energy input which will consequently lessen the production cost, a study was conducted to investigate the migration of water molecules across a cell membrane of microalgae. Molecular Dynamics simulations using GROMACS software were utilized to obtain a molecular model of a cell membrane. The membrane model was composed of 32 dilauroylphosphatidylcholine (DLPC) lipids, 32 dioleolyphosphatidylcholine (DOPC) lipids, 32 dipalmitoylphosphatidylcholine (DPPC) lipids, 32 distearoylphosphatidylcholine (DSPC) lipids and 6000 water molecules in an all-atom force field. The effect of varying the temperature on the bilayer thickness and the effect of varying the osmotic pressure on the water migration across the lipid bilayer were determined. The temperature was varied from 300 K to 345 K with 5 K interval and the pressure was changed from 100 MPa to 150 MPa with 10 MPa interval. Results showed that at increasing temperature the bilayer thickness increased but when it reached 340 K the bilayer thickness started thinning. Furthermore, at increasing osmotic pressure the water migration became faster.
为了寻找一种更适合的干燥微藻的方式,以减少能量输入,从而降低生产成本,我们进行了一项研究,研究了水分子在微藻细胞膜上的迁移。利用GROMACS软件进行分子动力学模拟,得到细胞膜的分子模型。膜模型由32种二酰酰磷脂酰胆碱(DLPC)脂质、32种二油酰磷脂酰胆碱(DOPC)脂质、32种二棕榈酰磷脂酰胆碱(DPPC)脂质、32种二硬脂酰磷脂酰胆碱(dsc)脂质和6000个水分子在全原子力场中组成。测定了温度变化对脂质双分子层厚度的影响以及渗透压变化对水在脂质双分子层上迁移的影响。温度变化范围为300 ~ 345 K,间隔5 K;压力变化范围为100 ~ 150 MPa,间隔10 MPa。结果表明:随着温度的升高,双分子层厚度增加,但当温度达到340 K时,双分子层厚度开始变薄。随着渗透压的增加,水的迁移速度加快。
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引用次数: 8
Fuzzy based hierarchical performance evaluation in telecommunications access networks 基于模糊的电信接入网分层性能评价
F. Lilik, L. Kóczy
Performance evaluation of wire pairs of telecommunications access networks is a great challenge for telecommunications service providers. Although there are existing methods and systems for it, these are expensive or unpunctual. This paper presents a novel, hierarchical fuzzy inference based performance evaluation method for wire pairs of access networks, which is based on measurements of the pairs. The set of antecedent (input) parameters and their role in the evaluation, the consequent (output) states and the type of the used fuzzy rule bases are presented. In addition, the behavior and the role of the noise that can be measured in the wire pairs are detailed.
电信接入网线对的性能评估是电信服务提供商面临的一个巨大挑战。虽然有现有的方法和系统,但这些都是昂贵的或不守时的。提出了一种新的基于层次模糊推理的接入网线对性能评价方法,该方法基于线对的测量值。给出了前项(输入)参数的集合及其在评价中的作用、后项(输出)状态和所使用的模糊规则库的类型。此外,还详细介绍了在导线对中可以测量到的噪声的行为和作用。
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引用次数: 0
期刊
2014 International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)
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