Component-level predictive maintenance schedules are developed to maximize multi-state system lifetime, considering degrading component multi-state behavior. To maximize the system time-to-replacement, the predictive maintenance schedule is based on individual component performance degradation trends, system performance requirements and component maintenance thresholds. This work is an extensio...

We developed an overarching multi-level mediation model using 199 responses from 53 companies the industrial sector in Jordan to examine (1) effect of firm-level environmental climate on relationship between formal regulatory institutions and strategic actions, (2) role that informal conveyed via political, normative, business connections plays environment-related cognitions top managers. At ‘w...

Many datasets have multiple perspectives – for example space, time and description – and often analysts are required to study these multiple perspectives concurrently. This concurrent analysis becomes difficult when data are grouped and split into small multiples for comparison. A design challenge is thus to provide representations that enable multiple perspectives, split into small multiples, ...

A perspective image represents the spatial relationships of objects in a scene as they appear from a single viewpoint. In contrast, a multi-perspective image combines what is seen from several viewpoints into a single image. Despite their incongruity of view, effective multi-perspective images are able to preserve spatial coherence and can depict, within a single context, details of a scene tha...

We present a novel hierarchical modular decision engine for lung nodule detection from CT images implemented by Artificial Neural Networks. The proposed Computer Aided Detection (CAD) technique encompasses several desirable properties such as mimicking physicians by means of geometric multi-perspective analysis, computational efficiency, and most importantly archiving high performance in detect...