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Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

《环境科学与工程前沿(英文)》 2016年 第10卷 第2期   页码 299-310 doi: 10.1007/s11783-015-0825-7

摘要: The k-nearest neighbor (k-NN) method was evaluated to predict the influent flow rate and four water qualities, namely chemical oxygen demand (COD), suspended solid (SS), total nitrogen (T-N) and total phosphorus (T-P) at a wastewater treatment plant (WWTP). The search range and approach for determining the number of nearest neighbors (NNs) under dry and wet weather conditions were initially optimized based on the root mean square error (RMSE). The optimum search range for considering data size was one year. The square root-based (SR) approach was superior to the distance factor-based (DF) approach in determining the appropriate number of NNs. However, the results for both approaches varied slightly depending on the water quality and the weather conditions. The influent flow rate was accurately predicted within one standard deviation of measured values. Influent water qualities were well predicted with the mean absolute percentage error (MAPE) under both wet and dry weather conditions. For the seven-day prediction, the difference in predictive accuracy was less than 5% in dry weather conditions and slightly worse in wet weather conditions. Overall, the k-NN method was verified to be useful for predicting WWTP influent characteristics.

关键词: influent wastewater     prediction     data-driven model     k-nearest neighbor method (k-NN)    

Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

《机械工程前沿(英文)》 2016年 第11卷 第3期   页码 311-315 doi: 10.1007/s11465-016-0376-z

摘要:

The identification of targets varies in different surge tests. A multi-color space threshold segmentation and self-learning k-nearest neighbor algorithm (k-NN) for equipment under test status identification was proposed after using feature matching to identify equipment status had to train new patterns every time before testing. First, color space (L*a*b*, hue saturation lightness (HSL), hue saturation value (HSV)) to segment was selected according to the high luminance points ratio and white luminance points ratio of the image. Second, the unknown class sample Sr was classified by the k-NN algorithm with training set Tz according to the feature vector, which was formed from number of pixels, eccentricity ratio, compactness ratio, and Euler’s numbers. Last, while the classification confidence coefficient equaled k, made Sr as one sample of pre-training set Tz′. The training set Tz increased to Tz+1 by Tz′ if Tz′ was saturated. In nine series of illuminant, indicator light, screen, and disturbances samples (a total of 21600 frames), the algorithm had a 98.65% identification accuracy, also selected five groups of samples to enlarge the training set from T0 to T5 by itself.

关键词: multi-color space     k-nearest neighbor algorithm (k-NN)     self-learning     surge test    

A systematic approach in load disaggregation utilizing a multi-stage classification algorithm for consumer

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

《能源前沿(英文)》 2019年 第13卷 第2期   页码 386-398 doi: 10.1007/s11708-017-0497-z

摘要: The potential to save energy in existing consumer electrical appliances is very high. One of the ways to achieve energy saving and improve energy use awareness is to recognize the energy consumption of individual electrical appliances. To recognize the energy consumption of consumer electrical appliances, the load disaggregation methodology is utilized. Non-intrusive appliance load monitoring (NIALM) is a load disaggregation methodology that disaggregates the sum of power consumption in a single point into the power consumption of individual electrical appliances. In this study, load disaggregation is performed through voltage and current waveform, known as the - trajectory. The classification algorithm performs cropping and image pyramid reduction of the - trajectory plot template images before utilizing the principal component analysis (PCA) and the -nearest neighbor ( -NN) algorithm. The novelty of this paper is to establish a systematic approach of load disaggregation through - trajectory-based load signature images by utilizing a multi-stage classification algorithm methodology. The contribution of this paper is in utilizing the “ -value,” the number of closest data points to the nearest neighbor, in the -NN algorithm to be effective in classification of electrical appliances. The results of the multi-stage classification algorithm implementation have been discussed and the idea on future work has also been proposed.

关键词: load disaggregation     voltage-current (V-I) trajectory     multi-stage classification algorithm     principal component analysis (PCA)     k-nearest neighbor (k-NN)    

利用机器视觉技术对化工厂管道进行自动视觉泄漏检测与定位 Reiew

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

《工程(英文)》 2021年 第7卷 第6期   页码 758-776 doi: 10.1016/j.eng.2020.08.026

摘要: 在本方法中,首先对后续帧进行减影和分块处理,然后对每一分块进行主成分分析,提取特征;接着将分块内所有减影帧都转换为特征向量(作为块分类的依据),根据特征向量,采用k-最近邻算法将块分为正常(无泄漏)和异常

关键词: 泄漏检测与定位     图像分析     图像预处理     主成分分析     k-最近邻分类    

模式识别技术在泥浆浓度反演中的应用

李德军,吕艳华,王润田

《中国工程科学》 2007年 第9卷 第5期   页码 81-84

摘要:

泥浆在建筑工程中使用非常普遍,合理地控制泥浆的物理性能对于建筑工程施工及其质量控制非常 重要,通过声学方法可以有效地监测泥浆的体积浓度等物理参数。在通过声衰减和声速等介质的声学参数反演 泥浆浓度的过程中,数据拟合的好坏直接影响到反演的精确程度。通过模式识别技术,利用聚类算法,对数据 进行分类、归类处理,能有效的地提高反演的准确度。

关键词: 模式识别     最近邻法     聚类算法     泥浆浓度    

基于层次的K-means初始化算法

汤九斌,陆建峰,唐振民,杨静宇

《中国工程科学》 2007年 第9卷 第11期   页码 74-79

摘要:

K-means算法是一种常用的聚类算法,但是聚类中心的初始化是其中的一个难点。笔者提出了一个基于层次思想的初始化方法。模拟数据和真实数据的实验结果均显示基于层次抽样初始化的K-means算法不仅收敛速度快、聚类质量高,而且对噪声不敏感,其性能明显优于现有的相关算法。

关键词: 层次技术     初始聚类中心     加权数据     K平均聚类    

向量量化综述 Regular Papers

Ze-bin WU, Jun-qing YU

《信息与电子工程前沿(英文)》 2019年 第20卷 第4期   页码 507-524 doi: 10.1631/FITEE.1700833

摘要: 向量量化用于语音与图像编码可有效减小带宽和存储开销。根据码书生成过程,可将传统向量量化方法分为7类:树形向量量化、直和向量量化、迪卡尔积向量量化、格子向量量化、基于分类的向量量化、反馈向量量化以及模糊向量量化。在过去10年中,基于向量量化的近似近邻搜索发展迅速,涌现大量在大规模数据集内存中搜索图像的编码方法。这些方法的一个显著特征是使用多个码书,形成两种新的码书结构:线性组合码书和联合码书,这将成为未来发展趋势。这些方法用于近似近邻搜索的本质是在速度、准确率和空间开销之间权衡,有时其中一个会受损。因此,找到一个在速度、准确率和空间开销中平衡的向量量化方法依然是一个值得研究的问题。

关键词: 近似近邻搜索;图像编码;向量量化    

Update on Mayer–Rokitansky–Küster–Hauser syndrome

《医学前沿(英文)》 2022年 第16卷 第6期   页码 859-872 doi: 10.1007/s11684-022-0969-3

摘要: This review presents an update of Mayer–Rokitansky–Küster–Hauser (MRKH) syndrome on its etiologic, clinical, diagnostic, psychological, therapeutic, and reproductive aspects. The etiology of MRKH syndrome remains unclear due to its intrinsic heterogeneity. Nongenetic and genetic causes that may interact during the embryonic development have been proposed with no definitive etiopathogenesis identified. The proportion of concomitant extragenital malformations varies in different studies, and the discrepancies may be explained by ethnic differences. In addition to physical examination and pelvic ultrasound, the performance of pelvic magnetic resonance imaging is crucial in detecting the presence of rudimentary uterine endometrium. MRKH syndrome has long-lasting psychological effects on patients, resulting in low esteem, poor coping strategies, depression, and anxiety symptoms. Providing psychological counseling and peer support to diagnosed patients is recommended. Proper and timely psychological intervention could significantly improve a patient’s outcome. Various nonsurgical and surgical methods have been suggested for treatment of MRKH syndrome. Due to the high success rate and minimal risk of complications, vaginal dilation has been proven to be the first-line therapy. Vaginoplasty is the second-line option for patients experiencing dilation failure. Uterine transplantation and gestational surrogacy are options for women with MRKH syndrome to achieve biological motherhood.

关键词: MRKH (Mayer–Rokitansky–Küster–Hauser) syndrome     etiology     clinical characteristic     diagnosis     treatment     psychological effect    

用智能药丸提供胰岛素?

Elizabeth K. Wilson

《工程(英文)》 2019年 第5卷 第4期   页码 603-604 doi: 10.1016/j.eng.2019.07.008

Stochastic analysis of laminated composite plate considering stochastic homogenization problem

SAKATA,K. OKUDA,K. IKEDA

《结构与土木工程前沿(英文)》 2015年 第9卷 第2期   页码 141-153 doi: 10.1007/s11709-014-0286-2

摘要: This paper discusses a multiscale stochastic analysis of a laminated composite plate consisting of unidirectional fiber reinforced composite laminae. In particular, influence of a microscopic random variation of the elastic properties of component materials on mechanical properties of the laminated plate is investigated. Laminated composites are widely used in civil engineering, and therefore multiscale stochastic analysis of laminated composites should be performed for reliability evaluation of a composite civil structure. This study deals with the stochastic response of a laminated composite plate against the microscopic random variation in addition to a random variation of fiber orientation in each lamina, and stochastic properties of the mechanical responses of the laminated plate is investigated. Halpin-Tsai formula and the homogenization theory-based finite element analysis are employed for estimation of effective elastic properties of lamina, and the classical laminate theory is employed for analysis of a laminated plate. The Monte-Carlo simulation and the first-order second moment method with sensitivity analysis are employed for the stochastic analysis. From the numerical results, importance of the multiscale stochastic analysis for reliability evaluation of a laminated composite structure and applicability of the sensitivity-based approach are discussed.

关键词: stochastic homogenization     multiscale stochastic analysis     microscopic random variation     laminated composite plate    

Shape control of multi-cellular inflatable panels

KATAYAMA, K. ISHIMURA, K. MINESUGI, DANIEL J. INMAN

《机械工程前沿(英文)》 2013年 第8卷 第3期   页码 276-282 doi: 10.1007/s11465-013-0267-5

摘要:

Multi-cellular inflatable structures are ultra-light and robust against membrane damage such as pinholes caused by space debris. Due to their robustness, inflatable structures supported by inner gases can be applied as space structures. In the present study, shape control for a simple multi-cellular inflatable panel was achieved via a novel diaphragm mechanism. When the bending actuator in a center membrane bends, the inner pressures of sub-cells become different, and the diaphragm mechanism bends as a whole. Because a sliding component is not included, this deformable system is a reliable mechanism. In addition, the proposed mechanism has higher rigidity than that of a bending actuator used alone. In the present paper, we investigate the feasibility of a novel diaphragm mechanism and its characteristics using experimental and numerical results.

关键词: Membrane structures     inflatable structure     shape control     smart structures     structural mechanics     space engineering    

A multi-attribute decision making approach of mix design based on experimental soil characterization

Amit K. BERA, Tanmoy MUKHOPADHYAY, Ponnada J. MOHAN, Tushar K. DEY

《结构与土木工程前沿(英文)》 2018年 第12卷 第3期   页码 361-371 doi: 10.1007/s11709-017-0425-7

摘要:

The clay mineral composition is one of the major factors that governs the physical properties of silty sand subgrade. Therefore, a thorough knowledge of mineral composition is essential to predict the optimum engineering properties of the soil, which is generally characterized by different indices like maximum dry density (MDD), California bearing ratio (CBR), unconfined compressive strength (UCS) and free swelling index (FSI). In this article, a novel multi-attribute decision making (MADM) based approach of mix design has been proposed for silty sand – artificial clay mix to improve the characteristic strength of a soil subgrade. Experimental investigation has been carried out in this study to illustrate the proposed approach of selecting appropriate proportion for the soil mix to optimize all the above mentioned engineering properties simultaneously. The results show that a mix proportion containing approximately 90% silty sand plus 10% bentonite soil is the optimal combination in context to the present study. The proposed methodology for optimal decision making to choose appropriate combination of bentonite and silty sand is general in nature and therefore, it can be extended to other problems of selecting mineral compositions.

关键词: silty sand     bentonite soil     soil mix design     multi-attribute decision making    

Semi-active fuzzy control of Lali Cable-Stayed Bridge using MR dampers under seismic excitation

Sajad JAVADINASAB HORMOZABAD, Amir K. GHORBANI-TANHA

《结构与土木工程前沿(英文)》 2020年 第14卷 第3期   页码 706-721 doi: 10.1007/s11709-020-0612-9

摘要: Seismic control of cable-stayed bridges is of paramount importance due to their complex dynamic behavior, high flexibility, and low structural damping. In the present study, several semi-active Fuzzy Control Algorithms (FCAs) for vibration mitigation of Lali Cable-Stayed Bridge are devised. To demonstrate the efficiency of the algorithms, a comprehensive nonlinear 3-D model of the bridge is created using OpenSees. An efficient method for connecting MATLAB and OpenSees is devised for applying FCAs to the structural model of the bridge. Two innovative fuzzy rule-bases are introduced. A total of six different fuzzy rule-bases are utilized. The efficiency of the FCAs is evaluated in a comparative manner. The performance of fuzzy control systems is also compared with a sky-hook and a passive-on system. Moreover, the sensitivity of efficiency of control systems to the peak ground acceleration is evaluated qualitatively. In addition, the effect of time lag is also investigated. This study thoroughly examines the efficiency of the FCAs in different aspects. Therefore, the results can be regarded as a general guide to design semi-active fuzzy control systems for vibration mitigation of cable-stayed bridges.

关键词: semi-active control     Fuzzy Control Algorithm     cable-stayed bridge     MR damper     Lali Bridge    

K型钢管混凝土节点疲劳性能试验研究

钟新谷,杨胜,石卫华

《中国工程科学》 2011年 第13卷 第9期   页码 97-100

摘要:

以湘潭四大桥桁架拱为工程背景,进行了三种规格的K型钢管混凝土节点的疲劳试验,基于热点应力计算了K型钢管混凝土节点的疲劳荷载幅值,表明热点应力法能够较好地评估钢管混凝土节点的疲劳寿命;试验表明K型钢管混凝土节点的疲劳性能明显优于K型钢管节点。在此基础上初步提出了K型钢管混凝土节点的S—N曲线,对建立K型钢管混凝土节点疲劳寿命设计准则具有一定的参考意义。

关键词: K型钢管混凝土节点     疲劳性能     S—N曲线    

Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based on ANN-NSGA-II hybrid technique

Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH

《机械工程前沿(英文)》 2013年 第8卷 第3期   页码 319-332 doi: 10.1007/s11465-013-0269-3

摘要:

The effective study of hybrid machining processes (HMPs), in terms of modeling and optimization has always been a challenge to the researchers. The combined approach of Artificial Neural Network (ANN) and Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) has attracted attention of researchers for modeling and optimization of the complex machining processes. In this paper, a hybrid machining process of Electrical Discharge Face Grinding (EDFG) and Diamond Face Grinding (DFG) named as Electrical Discharge Diamond face Grinding (EDDFG) have been studied using a hybrid methodology of ANN-NSGA-II. In this study, ANN has been used for modeling while NSGA-II is used to optimize the control parameters of the EDDFG process. For observations of input-output relations, the experiments were conducted on a self developed face grinding setup, which is attached with the ram of EDM machine. During experimentation, the wheel speed, pulse current, pulse on-time and duty factor are taken as input parameters while output parameters are material removal rate (MRR) and average surface roughness (Ra). The results have shown that the developed ANN model is capable to predict the output responses within the acceptable limit for a given set of input parameters. It has also been found that hybrid approach of ANN-NSGA-II gives a set of optimal solutions for getting appropriate value of outputs with multiple objectives.

关键词: hybrid machining processes (HMPs)     electrical discharge diamond grinding (EDDG)     artificial neural network (ANN)     genetic algorithm     modeling and optimization    

标题 作者 时间 类型 操作

Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

期刊论文

Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

期刊论文

A systematic approach in load disaggregation utilizing a multi-stage classification algorithm for consumer

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

期刊论文

利用机器视觉技术对化工厂管道进行自动视觉泄漏检测与定位

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

期刊论文

模式识别技术在泥浆浓度反演中的应用

李德军,吕艳华,王润田

期刊论文

基于层次的K-means初始化算法

汤九斌,陆建峰,唐振民,杨静宇

期刊论文

向量量化综述

Ze-bin WU, Jun-qing YU

期刊论文

Update on Mayer–Rokitansky–Küster–Hauser syndrome

期刊论文

用智能药丸提供胰岛素?

Elizabeth K. Wilson

期刊论文

Stochastic analysis of laminated composite plate considering stochastic homogenization problem

SAKATA,K. OKUDA,K. IKEDA

期刊论文

Shape control of multi-cellular inflatable panels

KATAYAMA, K. ISHIMURA, K. MINESUGI, DANIEL J. INMAN

期刊论文

A multi-attribute decision making approach of mix design based on experimental soil characterization

Amit K. BERA, Tanmoy MUKHOPADHYAY, Ponnada J. MOHAN, Tushar K. DEY

期刊论文

Semi-active fuzzy control of Lali Cable-Stayed Bridge using MR dampers under seismic excitation

Sajad JAVADINASAB HORMOZABAD, Amir K. GHORBANI-TANHA

期刊论文

K型钢管混凝土节点疲劳性能试验研究

钟新谷,杨胜,石卫华

期刊论文

Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based on ANN-NSGA-II hybrid technique

Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH

期刊论文