16,590 research outputs found
Investigating the Benefit of MR fluids in Shock Absorbers
The beneficial properties of magnetorheological (MR) fluids are applied in the design and testing of a prototype suspension system. Because MR fluids become more viscous under the influence of a magnetic field, a suspension shock absorber containing MR fluid is proposed. The shock system tested displayed resistance to motion with respect to the magnetic field strength
Plane-Based Optimization of Geometry and Texture for RGB-D Reconstruction of Indoor Scenes
We present a novel approach to reconstruct RGB-D indoor scene with plane
primitives. Our approach takes as input a RGB-D sequence and a dense coarse
mesh reconstructed by some 3D reconstruction method on the sequence, and
generate a lightweight, low-polygonal mesh with clear face textures and sharp
features without losing geometry details from the original scene. To achieve
this, we firstly partition the input mesh with plane primitives, simplify it
into a lightweight mesh next, then optimize plane parameters, camera poses and
texture colors to maximize the photometric consistency across frames, and
finally optimize mesh geometry to maximize consistency between geometry and
planes. Compared to existing planar reconstruction methods which only cover
large planar regions in the scene, our method builds the entire scene by
adaptive planes without losing geometry details and preserves sharp features in
the final mesh. We demonstrate the effectiveness of our approach by applying it
onto several RGB-D scans and comparing it to other state-of-the-art
reconstruction methods.Comment: in International Conference on 3D Vision 2018; Models and Code: see
https://github.com/chaowang15/plane-opt-rgbd. arXiv admin note: text overlap
with arXiv:1905.0885
The trouble with asymptotically safe inflation
In this paper we investigate the perturbation theory of the asymptotically
safe inflation and we find that all modes of gravitational waves perturbation
become ghosts in order to achieve a large enough number of e-folds. Formally we
can calculate the power spectrum of gravitational waves perturbation, but we
find that it is negative. It indicates that there is serious trouble with the
asymptotically safe inflation.Comment: 13 pages, 1 figur
Surfacing ERP exploitation risks through a risk ontology
Purpose β The purpose of this paper is to develop a risk identification checklist for facilitating user companies to surface, organise and manage potential risks associated with the post-adoption of Enterprise Resource Planning (ERP) systems.
Design/methodology/approach β A desktop study, based on the process of a critical literature review, was conducted by the researchers. The critical review focused on IS and business research papers, books, case studies and theoretical articles, etc.
Findings β By systematically and critically analysing and synthesising the literature reviewed, the researchers identified and proposed a total of 40 ERP post-implementation risks related to diverse operational, analytical, organisation-wide and technical aspects. A risk ontology was subsequently established to highlight these ERP risks, as well as to present their potential causal relationships.
Research limitations/implications β For researchers, the established ERP risk ontology represents a starting point for further research, and provides early insights into a research field that will become increasingly important as more and more companies progress from implementation to exploitation of ERPs.
Practical implications β For practitioners, the risk ontology is an important tool and checklist to support risk identification, prevention, management and control, as well as to facilitate strategic planning and decision making.
Originality/value β There is a scarcity of studies focusing on ERP post-implementation in contrast with an over abundance of studies focusing on system implementation and project management aspects. This paper aims to fill this significant research gap by presenting a risk ontology of ERP post-adoption. It represents a first attempt in producing a comprehensive model in its area. No other such models could be found from the literature reviewed
Multi-tensor Completion for Estimating Missing Values in Video Data
Many tensor-based data completion methods aim to solve image and video
in-painting problems. But, all methods were only developed for a single
dataset. In most of real applications, we can usually obtain more than one
dataset to reflect one phenomenon, and all the datasets are mutually related in
some sense. Thus one question raised whether such the relationship can improve
the performance of data completion or not? In the paper, we proposed a novel
and efficient method by exploiting the relationship among datasets for
multi-video data completion. Numerical results show that the proposed method
significantly improve the performance of video in-painting, particularly in the
case of very high missing percentage
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