Search results for "Computer"

Collaborative knowledge construction in authentic school contexts

2005

Organizational Learning from Cybersecurity Performance: Effects on Cybersecurity Investment Decisions

2023

AbstractIS literature has identified various economic, performance, and environmental factors affecting cybersecurity investment decisions. However, economic modeling approaches dominate, and research on cybersecurity performance as an antecedent to investments has taken a backseat. Neglecting the role of performance indicators ignores real-world concerns driving actual cybersecurity investment decision-making. We investigate two critical aspects of cybersecurity performance: breach costs and breach identification source, as antecedents to cybersecurity investment decisions. We use organizational learning to theorize how performance feedback from these two aspects of cybersecurity breaches …

Support for Knowledge and Innovations in Software Development – Community within Company: Inner Source Environment

2007

This case study considers a software development support portal adapted from open source developer communities into a company internal, so called inner-source development environment. With theoretical insights into knowledge management (KM) models, recent advancements in KM theory building, and observations of the inner source platform we make observations as regarding the KM approach and suggestions for its further development. Both technological and human components of KM are considered. The results of this study, can be generally applicable to the knowledge creation and innovation support in software development. We believe that many software companies are following the example and build…

Software patterns, organizational learning and software process improvement

2011

Temporal spying and concealing process in fibre-optic data transmission systems through polarization bypass

2014

Recent research has been focused on the ability to manipulate a light beam in such a way to hide, namely to cloak, an event over a finite time or localization in space. The main idea is to create a hole or a gap in the spatial or time domain so as to allow for an object or data to be kept hidden for a while and then to be restored. By enlarging the field of applications of this concept to telecommunications, researchers have recently reported the possibility to hide transmitted data in an optical fibre. Here we report the first experimental demonstration of perpetual temporal spying and blinding process of optical data in fibre-optic transmission line based on polarization bypass. We succes…

The relevance of point defects in studying silica-based materials from bulk to nanosystems

2019

The macroscopic properties of silica can be modified by the presence of local microscopic modifications at the scale of the basic molecular units (point defects). Such defects can be generated during the production of glass, devices, or by the environments where the latter have to operate, impacting on the devices’ performance. For these reasons, the identification of defects, their generation processes, and the knowledge of their electrical and optical features are relevant for microelectronics and optoelectronics. The aim of this manuscript is to report some examples of how defects can be generated, how they can impact device performance, and how a defect species or a physical phenomenon …

Optical flow estimation from multichannel spherical image decomposition

2011

International audience; The problem of optical flow estimation is largely discussed in computer vision domain for perspective images. It was also proven that, in terms of optical flow analysis from these images, we have difficulty distinguishing between some motion fields obtained with little camera motion. The omnidirectional cameras provided images with large filed of view. These images contain global information about motion and allow to remove the ambiguity present in perspective case. Nevertheless, these images contain significant radial distortions that is necessary to take into account when treating these images to estimate the motion. In this paper, we shall describe new way to comp…

Comparison between unrestricted dynamic shakedown design and a new probabilistic approach for structures under seismic loadings

2014

The paper concerns a study related to the comparison between two different approaches utilized for the formulation of an optimal shakedown design problem for elastic plastic frame structures subjected to a combination of fixed and seismic loading. The first formulation utilizes the unrestricted dynamic shakedown theory, while the second one is based on a new probabilistic approach. The comparison is effected in terms of mathematical formulations, in terms of adopted loading models and in terms of numerical results. The performed applications are related to plane steel frames.

Water distribution network robust design based on energy surplus index maximization

2015

The aim of this paper is to show that energy surplus indices, such as resilience index, besides providing a very good indirect measure of water distribution network reliability to be adopted during the design phase, represent also a valuable and effective indicator of the robustness of the network in alternative network scenarios, and can thus be profitably used in condition of future demands uncertainty. The methodology adopted consisted of (I) multi-objective design optimization performed in order to minimize construction costs while maximizing the resilience index; (II) retrospective performance assessment of the alternative solutions of the Pareto front obtained, under demand conditions…

Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case

2017

Complexity in solving real-world multicriteria optimization problems often stems from the fact that complex, expensive, and/or time-consuming simulation tools or physical experiments are used to evaluate solutions to a problem. In such settings, it is common to use efficient computational models, often known as surrogates or metamodels, to approximate the outcome (objective or constraint function value) of a simulation or physical experiment. The presence of multiple objective functions poses an additional layer of complexity for surrogate-assisted optimization. For example, complexities may relate to the appropriate selection of metamodels for the individual objective functions, extensive …