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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

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 299-310 doi: 10.1007/s11783-015-0825-7

Abstract: The k-nearest neighbor (k-NN) method was evaluated to predict the influent flow rate and four water qualitiesThe search range and approach for determining the number of nearest neighbors (NNs) under dry and wetOverall, the k-NN method was verified to be useful for predicting WWTP influent characteristics.

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

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

Jian HUANG,Gui-xiong LIU

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 311-315 doi: 10.1007/s11465-016-0376-z

Abstract: 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 matchingSecond, the unknown class sample Sr was classified by the k-NN algorithm with training set Tz according to the feature vectorLast, while the classification confidence coefficient equaled k, made S<

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

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

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 386-398 doi: 10.1007/s11708-017-0497-z

Abstract: trajectory plot template images before utilizing the principal component analysis (PCA) and the -nearestneighbor ( -NN) algorithm.contribution of this paper is in utilizing the “ -value,” the number of closest data points to the nearestneighbor, in the -NN algorithm to be effective in classification of electrical appliances.

Keywords： /i>-I) trajectory     multi-stage classification algorithm     principal component analysis (PCA)     k-nearest neighbor (k-NN)    

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Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using Machine Vision Techniques Reiew

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

Engineering 2021, Volume 7, Issue 6,   Pages 758-776 doi: 10.1016/j.eng.2020.08.026

Abstract: Since the proposed method is a vision-based method and does not consider the physical properties of theIn this method, subsequent frames are subtracted and divided into blocks.The k-nearest neighbor algorithm is used to classify the blocks as normal (without leakage)The proposed method has high accuracy and a reasonable detection time for leakage detection.method are discussed at the end.

Keywords： Leakage detection and localization     Image analysis     Image pre-processing     Principle component analysis     k-nearestneighbor classification    

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Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration

Li Dejun,Lv Runhua,Wang Runtian

Strategic Study of CAE 2007, Volume 9, Issue 5,   Pages 81-84

Abstract: The acoustic method is used,  which can effectively monitor the physical parameters of slurry, &

Keywords： fuzzy pattern recognition     nearest neighbor(NN)     cooperative clustering algorithm(CCA)     slurry concentration    

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A Hierarchical-Based Initialization Method for K-Means Algorithm

Tang Jiubin,Lu Jianfeng,Tang Zhenmin, Yang Jingyu

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 74-79

Abstract:

K-means algorithm is one of common clustering algorithms,  but the In this paper,  a hierarchical-based initialization approach is proposed for K-Means algorithm Both the experimental results on simulated data and real data show that the proposed method has

Keywords： hierarchical technique     initial cluster centers     weighted data     K-means clustering    

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Biomechanics of knee joint – A review

Bhaskar Kumar MADETI,Srinivasa Rao CHALAMALASETTI,S K Sundara siva rao BOLLA PRAGADA

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 176-186 doi: 10.1007/s11465-014-0306-x

Abstract:

The present paper is to know how the work is carried out in the field of biomechanics of knee. Various model formulations are discussed and further classified into mathematical model, two-dimensional model and three-dimensional model. Knee geometry is a crucial part of human body movement, in which how various views of knee is shown in different planes and how the forces act on tibia and femur are studied. It leads to know the forces acting on the knee joint. Experimental studies of knee geometry and forces acting on knee shown by various researchers have been discussed, and comparisons of results are made. In addition, static and dynamic analysis of knee has been also discussed respectively to some extent.

Keywords： biomechanics     knee geometry     ligaments     squat     femorotibial joint     finite element method    

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Vector quantization: a review Regular Papers

Ze-bin WU, Jun-qing YU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 4,   Pages 507-524 doi: 10.1631/FITEE.1700833

Abstract: Over the past decade, quantization-based approximate nearest neighbor (ANN) search has been developingSo, finding a vector quantization method that can strike a balance between speed and accuracy and consume

Keywords： Approximate nearest neighbor search     Image coding     Vector quantization    

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A novel method to investigate voltage stability of IEEE-14 bus wind integrated system using PSAT

K. SHARMA

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 410-418 doi: 10.1007/s11708-016-0440-8

Abstract: This paper presents the line indices method to identify these weak buses, so that some corrective action

Keywords： voltage stability     line indices     power system analysis tool box (PSAT)     wind system     line loading     power flow (PF)    

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Update on Mayer–Rokitansky–Küster–Hauser syndrome

Frontiers of Medicine 2022, Volume 16, Issue 6,   Pages 859-872 doi: 10.1007/s11684-022-0969-3

Abstract: 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.

Keywords： MRKH (Mayer–Rokitansky–Küster–Hauser) syndrome     etiology     clinical characteristic     diagnosis     treatment    

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A Smart Pill for Insulin?

Elizabeth K. Wilson

Engineering 2019, Volume 5, Issue 4,   Pages 603-604 doi: 10.1016/j.eng.2019.07.008

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Stochastic analysis of laminated composite plate considering stochastic homogenization problem

SAKATA,K. OKUDA,K. IKEDA

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 141-153 doi: 10.1007/s11709-014-0286-2

Abstract: The Monte-Carlo simulation and the first-order second moment method with sensitivity analysis are employed

Keywords： stochastic homogenization     multiscale stochastic analysis     microscopic random variation     laminated composite plate    

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Shape control of multi-cellular inflatable panels

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

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 3,   Pages 276-282 doi: 10.1007/s11465-013-0267-5

Abstract:

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.

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

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Trajectory planning of mobile robots using indirect solution of optimal control method in generalized

RAHIMI, K. AMINI KHOIY

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 23-28 doi: 10.1007/s11465-012-0304-9

Abstract: To solve the problem, an indirect solution of the optimal control method is employed, and conditionssimulations are performed for a nonholonomic mobile robot to illustrate effectiveness of the proposed method

Keywords： mobile robot     trajectory planning     nonlinear dynamic     optimal control    

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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

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 3,   Pages 361-371 doi: 10.1007/s11709-017-0425-7

Abstract:

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.

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

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Title Author Date Type Operation

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

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

Journal Article

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

Jian HUANG,Gui-xiong LIU

Journal Article

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

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

Journal Article

Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using Machine Vision Techniques

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

Journal Article

Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration

Li Dejun,Lv Runhua,Wang Runtian

Journal Article

A Hierarchical-Based Initialization Method for K-Means Algorithm

Tang Jiubin,Lu Jianfeng,Tang Zhenmin, Yang Jingyu

Journal Article

Biomechanics of knee joint – A review

Bhaskar Kumar MADETI,Srinivasa Rao CHALAMALASETTI,S K Sundara siva rao BOLLA PRAGADA

Journal Article

Vector quantization: a review

Ze-bin WU, Jun-qing YU

Journal Article

A novel method to investigate voltage stability of IEEE-14 bus wind integrated system using PSAT

K. SHARMA

Journal Article

Update on Mayer–Rokitansky–Küster–Hauser syndrome

Journal Article

A Smart Pill for Insulin?

Elizabeth K. Wilson

Journal Article

Stochastic analysis of laminated composite plate considering stochastic homogenization problem

SAKATA,K. OKUDA,K. IKEDA

Journal Article

Shape control of multi-cellular inflatable panels

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

Journal Article

Trajectory planning of mobile robots using indirect solution of optimal control method in generalized

RAHIMI, K. AMINI KHOIY

Journal Article

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

Journal Article