BACKGROUND We aimed to apply collaborative business intelligence (BI) system to hospital supply, processing and distribution (SPD) logistics management model. METHODS We searched Engineering Village database, China National Knowledge Infrastructure (CNKI) and Google for articles (Published from 2011 to 2016), books, Web pages, etc., to understand SPD and BI related theories and recent researc...

Research on pre-task planning has revealed that planned conditions have produced more fluent and complex language than unplanned conditions. To date, most of these studies have investigated the effects of individual planning on language production while collaborative planning has received scant attention. To determine the effects of pre-task planning on second language written production, the p...

This thesis studies the automatic design and optimization of high-performing robust controllers for mobile robots using exclusively on-board resources. Due to the often large parameter space and noisy performance metrics, this constitutes an expensive optimization problem. Population-based learning techniques have been proven to be effective in dealing with noise and are thus promising tools to...

Individual-soldier firepower system includes several subsystems, and the relationships of competition and coupling exist in each subsystem. In order to obtain the optimal performance of the entire system, the multidisciplinary optimization is employed in this paper. The recoil force is taken as the objective function, and the performances of weapon dynamics, internal ballistics, external ballis...

Background: Cooperative and Collaborative Learning approach with online programs is useful in response to rising demand for university educational system. This study evaluates the use of internet and computer in collaborative teaching and learning process for post graduate nursing students. Method: This is a correlation descriptive study. The population in the study is based on census sampling ...

We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient greedy algorithm and derive its formal approximation guarantees. Each iteration of the algorithm involves (approximately) finding the left and right singular vectors corresponding to the largest singular value of a cer...

background: cooperative and collaborative learning approach with online programs is useful in response to rising demand for university educational system. this study evaluates the use of internet and computer in collaborative teaching and learning process for post graduate nursing students. method: this is a correlation descriptive study. the population in the study is based on census sampling ...

Scene-level geographic image classification has been a very challenging problem and has become a research focus in recent years. This paper develops a supervised collaborative kernel coding method based on a covariance descriptor (covd) for scene-level geographic image classification. First, covd is introduced in the feature extraction process and, then, is transformed to a Euclidean feature by...

The max-norm was proposed as a convex matrix regularizer in [1] and was shown to be empirically superior to the trace-norm for collaborative filtering problems. Although the max-norm can be computed in polynomial time, there are currently no practical algorithms for solving large-scale optimization problems that incorporate the max-norm. The present work uses a factorization technique of Burer ...