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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 S_r was classified by the k-NN algorithm with training set T_z 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: The k-nearest neighbor algorithm is used to classify the blocks as normal (without leakage)

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:

Slurry is widely used in construction projects, and it is important to control the slurry's physical characteristic properly. The acoustic method is used, which can effectively monitor the physical parameters of slurry, such as concentration. Data processing affects directly the precision in the measurement of slurry concentration by the sound attenuation and velocity. Based on the fuzzy pattern recognition, data are sorted and further classified, with cooperative clustering algorithm.

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

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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 developing

Keywords： Approximate nearest neighbor search Image coding Vector quantization

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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: 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.

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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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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Experiment study on fatigue property of concrete filled steel pipe K-joints

Zhong Xingu,Yang Sheng,Shi Weihua

Strategic Study of CAE 2011, Volume 13, Issue 9, Pages 97-100

Abstract: the truss arch of Xiangtan 4th Bridge, we made fatigue property test on concrete filled steel pipe K-jointsdifferent specifications, and calculated the amplitude of fatigue load of concrete filled steel pipe K-jointsassess fatigue life of concrete filled steel pipe, and fatigue property of concrete filled steel pipe K-jointswas obviously better than that of steel pipe K-joints.Moreover, the S—N curve of concrete filled steel pipe K-joints proposed by this paper would be

Keywords： concrete filled steel pipe K-joints fatigue property S—N curve

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What Will 5G Bring?

Erika K. Carlson

Engineering 2020, Volume 6, Issue 7, Pages 725-727 doi: 10.1016/j.eng.2020.05.012

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Space Tourism Moves Closer to Lift Off

Elizabeth K. Wilson

Engineering 2019, Volume 5, Issue 5, Pages 819-821 doi: 10.1016/j.eng.2019.08.006

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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

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