254 research outputs found
Rapid Prototyping for Sheet Metal Products
The aim of this chapter is to evaluate and predict forming limit and then to improve and develop the incremental sheet metal forming (ISMF) processes for complex surface products of sheet metal. The theoretical study was first overviewed and synthesized in order to recognize the effect of geometry, technology parameters, and processing conditions on ISMF process. Finite element method (FEM) simulation study was then used to compare the accuracy of constitutive material models and fracture criteria and propose new equations in order to improve the prediction of FEM simulation for incremental sheet metal forming process. To develop a new technique for improving the formability of sheet metal using ISMF, FEM was also adopted to reduce the cost and time of research. The basic experimental studies were performed to determine the input data for FEM simulation such as tensile data, fracture parameters, and so on. To investigate and compare the simulation results, the incremental sheet metal forming processes for complex shapes were also conducted
Energy-efficient Heterogeneous Wireless Communication with Extended SDN-Controller
芝浦工業大学2017年
Determination of dynamic impact factor for continuous girder bridge due to vehicle braking force by finite element method and experimental
In this study, the finite element method (FEM) is used to investigate the dynamic response of continuous girder bridge due to moving three-axle vehicle . Vertical reaction forces of axles that change with time make bending vibration of girder significantly increase. The braking in the first span is able to create response in other spans. In addition, the dynamic impact factors are investigated by both FEM and experiment for Hoa Xuan bridge. The results of this study provide an improved understanding of the bridge dynamic behavior and can be used as additional references for bridge codes by practicing engineers
Towards Tuning-Free Minimum-Volume Nonnegative Matrix Factorization
Nonnegative Matrix Factorization (NMF) is a versatile and powerful tool for
discovering latent structures in data matrices, with many variations proposed
in the literature. Recently, Leplat et al.\@ (2019) introduced a minimum-volume
NMF for the identifiable recovery of rank-deficient matrices in the presence of
noise. The performance of their formulation, however, requires the selection of
a tuning parameter whose optimal value depends on the unknown noise level. In
this work, we propose an alternative formulation of minimum-volume NMF inspired
by the square-root lasso and its tuning-free properties. Our formulation also
requires the selection of a tuning parameter, but its optimal value does not
depend on the noise level. To fit our NMF model, we propose a
majorization-minimization (MM) algorithm that comes with global convergence
guarantees. We show empirically that the optimal choice of our tuning parameter
is insensitive to the noise level in the data
ACTUAL SITUATION OF HUMAN RESOURCES WITH BACHELOR’S DEGREE OF SPORTS MAJORING IN BASKETBALL AT BAC NINH SPORT UNIVERSITY OF VIETNAM
The study investigated the assessing the actual situation of human resources with bachelor’s degree in Basketball major, Bac Ninh Sport University of Viet Nam in the period of 2015-2019 through the following criteria: characteristics of the major graduates and job searching results of the bachelors after graduation. The result showed that the percentage of enrolled and graduated students majoring in Basketball accounts for a high percentage of the total students in the university. However, the number of students majoring in Basketball does the right job after leaving university is still low. The level of meeting the social requirements of Bachelors of Sports majoring in Basketball is mainly at the average level. Article visualizations
Molecular identification of Ralstonia pseudosolanacearum causing bacterial wilt in tomatoes from Da Nang by using Colony PCR
Ralstonia solanacearum species complex (RSSC) is the main pathogen causing bacterial wilt disease in tomatoes. This study applied the colony polymerase chain reaction (PCR) technique to rapidly screen and select RSSC strains from isolated bacteria of diseased tomatoes. This method directly used bacterial colonies on the Petri plate as templates to amplify with RSSC’s specific and multiplex primers. The results showed that the Vietnamese isolates were identified as R. pseudosolanacearum, phylotype I. Phylogenetic analysis of the 16S-23S rDNA sequencing also confirmed these results. Therefore, this is the first report to recognize R. pseudosolanacearum phylotype I as the cause of bacterial wilt disease in tomatoes from Danang
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