To avoid project delays and cost overruns, it is crucial that organisations' knowledge base on management expanded experiences in large-scale projects are more widely shared through effective of lessons learned. However, the learned from large scale remains a scientific practical challenge. In addition to their multi-stakeholder setting, natural loss experienced retirement presence both tacit e...

The article examines the Chinese engagement in Arctic, with specific focus on large-scale mineral and infrastructure projects Greenland. Providing an important financial basis for potential Greenlandic independence, these also have significant environmental, geostrategic, political reverberations. This leaves a complex geopolitical context which Greenland will to navigate interactions China cau...

Because of activity duration uncertainties, large-scale projects can often be modeled most realistically as probabilistic activity networks. The complex interactions among activities with uncertain durations virtually assures a low probability that these projects will be completed before predetermined due dates. As a result, it is often necessary to expedite individual activities in these proje...

Biomedical taxonomies, thesauri and ontologies in the form of the International Classification of Diseases as a taxonomy or the National Cancer Institute Thesaurus as an OWL-based ontology, play a critical role in acquiring, representing and processing information about human health. With increasing adoption and relevance, biomedical ontologies have also significantly increased in size. For exa...

Project portfolio selection is very important subject of decision-makers in project-based organizations. The best assignment of resources to the most appropriate projects is necessary as financing projects with low benefit is just waste of organization's resources. However, existing project selection models pay not much attention the structure and special features of projects as a selection cri...

in this paper, we describe our implementation of an interior point algorithm for large scale systems. first we identify system with small and medium methods convex optimization, then we use interior point method for identification. finally we offer an interior point method that uses nonlinear cost function and see that we achieve a good trade-off between error and cpu time. actually, in this pa...

The Lab offers a number of practical projects in Natural Language Processing, mostly geared towards processing of Hebrew. Some projects require previous knowledge of computational linguistics but some assume no previous background. All projects involve programming: the end result is a relatively large-scale, well-documented and efficient software package. Some of the projects may involve also s...