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Jae-Yong Yoo, Soo-Yeon Kim and Sang-Keun Oh
This study reviewed new concept waterproofing performance gradation to respond to the limit of unified single standard performance standard used in each country from the past until now. This study was carried out using the standard test data from 34 prod...
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Yeweon Kim, Hi-Kyoung Jang and Ki-Hyung Yu
Accurate standard meteorological data sets for each city are essential elements to assess and analyze high-performance buildings quantitatively in order to ensure that they comply with energy saving policies of the nation. ECO2, which is an assessment pr...
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Jing Pang, Xuwen Zhang, Xiaojun Lin, Jianghui Liu, Xinwu Du and Jiangang Han
In an analysis of the penetration resistance and tillage depth of post-tillage soil, four surface-layer discrimination methods, specifically, three machine learning algorithms?Kmeans, DBSCAN, and GMM?and a curve-fitting method, were used to analyze data ...
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Helen Eriksson, Tim Johansson, Per-Ola Olsson, Maria Andersson, Jakob Engvall, Isak Hast and Lars Harrie
The aim of this paper is to present a proposal for a national building standard in Sweden. We define requirements for the proposed standard, e.g., it should support development of 3D city models, connect to building information models (BIM) and national ...
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Qi Song, Xinhua Wei, Weihong Sun, Zemin Lu and Tao Tao
The intelligent control of the paddy drying process is an prominent development trend and the accurate detection of paddy moisture content is the basis for the intelligent control of the paddy drying process. For the design of a paddy moisture sensor, el...
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Jianhua Cheng, Lili Guo, Hui Wang and Zhilin Dun
At present, the research results for the stress response and deformation characteristics of composite support structures are mostly based on ideal or standard working conditions. External disturbances often exist in practical engineering, which makes the...
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Ana Catarina Costa, Haitong Xu and Carlos Guedes Soares
The work presents the identification and validation of the hydrodynamic coefficients for the surge, sway, and yaw motion. This is performed in two ways: using simulated data and free-running test data. The identification and validation with the simulatio...
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Oladiran Stephen Olabiyi
Pág. 167 - 188
The study investigated the predictive effects of motivation, attitudes, and gender on senior secondary year two students? performance in woodworking technology in Lagos state. It employed the descriptive-correlation method of research and data were obtai...
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Begum Pastirmacioglu,Semih Caliskan,Deniz Ozcan,Huseyin Uzunboylu
Pág. pp. 32 - 42
This is the general aim study is to determine the mobile Internet acceptance model of special education teacher candidates. A quantitative method is employed in the study. The research is conducted during the spring semester of 2016?2017. The study group...
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Isaac Kering Cheruiyot, Mary Bosire
Pág. 2520 - 2526
This study sought to establish the effects of MFIs lending on working capital management of micro and small businesses in Narok Town. The objectives of the study were to establish the effects of Microfinance lending on cash management, inventory manageme...
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Herry Pintardi Chandra
Pág. pp. 77 - 84
Sustainable construction development needs a good environmental management system. International standard ISO 14000 is one the standard of a good environmental management system. This research aims to obtain general idea on how far Class A contractors in...
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Hui Li, Yi-Kun Ba, Ning Zhang, Yong-Jian Liu and Wei Shi
In regions with severe cold and high latitudes, concrete structures are susceptible to cracking and displacement due to uneven temperature stress, which directly impacts their normal utilization. Therefore, to investigate the temperature distribution cha...
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Nicholas F. Giannelis, Tamas Bykerk and Gareth A. Vio
This paper introduces a generic model for the study of aerodynamic behaviour relevant to fifth-generation high-performance aircraft. The model design is presented, outlining simplifications made to retain the key features of modern high-performance vehic...
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Zhenxian Peng, Zhonglian Jiang, Xiao Chu and Jianglong Ying
As an important mode of transportation for the global trade, waterborne transportation has become a priority option for import and export trade due to its large load capacity and relatively low cost. Meanwhile, shipping safety has been highly valued. By ...
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Haitong Xu and C. Guedes Soares
A data-driven method, the truncated LS-SVM, is proposed for estimating the nondimensional hydrodynamic coefficients of a nonlinear manoeuvring model. Experimental data collected in a shallow water towing tank are utilized in this study. To assess the acc...
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Hanbing Ma, Oliver Kirschner and Stefan Riedelbauch
The head and flow rate of a pump characterize the pump performance, which help determine whether maintenance is needed. In the proposed method, instead of a traditional flowmeter and manometer, the operating points are identified using data collected fro...
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Olivier Pantalé
Finite element (FE) simulations have been effective in simulating thermomechanical forming processes, yet challenges arise when applying them to new materials due to nonlinear behaviors. To address this, machine learning techniques and artificial neural ...
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Lorenzo Pezzotti, Andrey Kiryunin, Dmitri Konstantinov, Alberto Ribon, Pavol Strizenec and on behalf of the Geant4 Collaboration
The Geant4 simulation toolkit is currently adopted by many particle physics experiments, including those at the Large Hadron Collider and the ones proposed for future lepton and hadron colliders. In the present era of precision tests for the Standard Mod...
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Milos Jovanovik, Timo Homburg and Mirko Spasic
GeoSPARQL is an important standard for the geospatial linked data community, given that it defines a vocabulary for representing geospatial data in RDF, defines an extension to SPARQL for processing geospatial data, and provides support for both qualitat...
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Qibing Jin, Nan Lin and Yuming Zhang
K-Means Clustering is a popular technique in data analysis and data mining. To remedy the defects of relying on the initialization and converging towards the local minimum in the K-Means Clustering (KMC) algorithm, a chaotic adaptive artificial bee colon...
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