In order to design and analyse complex real time systems, we improve the communication mechanism of Time Recursive Petri Net model that we have proposed in previous works. We have used our extended model, named Time ERPN, to check the temporal coherence of SMIL documents. This paper presents on-going work where special attention is given to the termination events between objects having distinct...

Ship detection in synthetic aperture radar (SAR) images has attracted widespread attention due to its significance and challenges. In recent years, numerous detectors based on deep learning have achieved good performance the field of SAR ship detection. However, targets same type always various representations under different imaging conditions, while types ships may a high degree similarity, w...

Recently convolutional neural network (CNN) promotes the development of stereo matching greatly. Especially those end-to-end stereo methods achieve best performance. However less attention is paid on encoding context information, simplifying two-stage disparity learning pipeline and improving details in disparity maps. Differently we focus on these problems. Firstly, we propose an one-stage con...

OBJECTIVE This study aimed to utilize failure modes and effects analysis (FMEA) to transform clinical insights into a risk mitigation plan for intrathecal (IT) drug delivery in pain management. METHODS The FMEA methodology, which has been used for quality improvement, was adapted to assess risks (i.e., failure modes) associated with IT therapy. Ten experienced pain physicians scored 37 failur...

Palm oil is a plantation crop of high economic value and one the crops producing vegetable various other derivative products. processing factors that determine business productivity palm mill. The smoothness production process greatly influenced by reliability machines used. Ripple Mill machine meisn serves as seed breaker to separate shell from kernel. This study aims identify failures occur i...

Lidar based 3D object detection is inevitable for autonomous driving, because it directly links to environmental understanding and therefore builds the base for prediction and motion planning. The capacity of inferencing highly sparse 3D data in real-time is an ill-posed problem for lots of other application areas besides automated vehicles, e.g. augmented reality, personal robotics or industri...

Please cite this article in press as: Kumar S doi:10.1016/j.microrel.2009.09.016 This paper presents an approach for selecting precursor parameters for health monitoring of electronic products. The approach includes failure modes, mechanisms, and effects analysis (FMMEA) and life cycle profile analysis of a product. The criticality of the failure mechanisms is established using a risk priority ...

Detecting pedestrian has been arguably addressed as a special topic beyond general object detection. Although recent deep learning object detectors such as Fast/Faster R-CNN [1, 2] have shown excellent performance for general object detection, they have limited success for detecting pedestrian, and previous leading pedestrian detectors were in general hybrid methods combining hand-crafted and d...