Codified-Tacit and General-Specific Knowledge in the division of labour among firms. A study of the Software Industry

This paper addresses the organisation and codification of knowledge in the software industry. It analyses various economic incentives to codification, including the need to improve the productivity and quality of software production processes and to access inter-firm collaborations. The paper examines the experience of four Italian software firms specialised in software packages and services. It compares their capabilities, the main sources of tacit knowledge, their specific incentives to invest in knowledge codification, their usage of formal software development methodologies and quality control systems. Finally, the paper analyses two distinct technological collaborations that two of these firms have recently established.

Fluorescent eco-particles for surface flow physics analysis

In this letter, we describe a novel methodology for fabricating inexpensive environmentally-friendly fluorescent microparticles for quantitative surface flow visualization. Particles are synthesized from natural white beeswax and a highly diluted solution of a nontoxic fluorescent red dye. Bead fluorescence exhibits a long lifetime in adverse conditions, such as exposure to weathering agents, and is enhanced by Ultra Violet radiation. The fluorescent eco-particles are integrated in a particle image velocimetry study of circular hydraulic jump to demonstrate their feasibility in tracing complex surface flows

PTV-Stream: A simplified particle tracking velocimetry framework for stream surface flow monitoring

Abstract Particle tracking velocimetry (PTV) is a promising image-based approach for remote streamflow measurements in natural environments. However, most PTV approaches require highly-defined round-shaped tracers, which are often difficult to observe outdoors. PTV-Stream offers a versatile alternative to cross-correlation-based PTV by affording the identification and tracking of features of any shape transiting in the field of view. This nearest-neighbor algorithm is inherently thought for estimating surface flow velocity of streams in outdoor conditions. The procedure allows for reconstructing and filtering the trajectories of features that are more likely to pertain to actual objects transiting in the field of view rather than to water reflections. The procedure is computationally efficient and is demonstrated to yield accurate measurements even in case of downsampled image sequences

Participatory visual methods in the ‘Psychology loves Porta Capuana’ project

This article describes the use of participatory visual and multimedia methods as part of a participatory action research carried out in a highly degraded urban area of a metropolis. The project was developed by the ‘I love Portacapuana’ committee in collaboration with community psychology lab and 180 undergraduate psychology students of the University of Naples Federico II. The joint use of visual tools such as photographs and videos with Internet-based collaborative work groups – through social networks such as Facebook – has proved effective in interpreting the needs of local citizens. This process has also involved a thorough analysis in terms of strengths and weaknesses as well as opportunities and threats in the local context. Indeed, the integration of visual tools into the broader framework of community diagnosis has fostered an interactive dialogue between the local community, researchers and local authorities. This, in turn, has lead to the outlining of a series of intervention strategies for local urban regeneration

Integrating spatially-and temporally-heterogeneous data on river network dynamics using graph theory

: The study of non-perennial streams requires extensive experimental data on the temporal evolution of surface flow presence across different nodes of channel networks. However, the consistency and homogeneity of available datasets is threatened by the empirical burden required to map stream network expansions and contractions. Here, we developed a data-driven, graph-theory framework aimed at representing the hierarchical structuring of channel network dynamics (i.e., the order of node activation/deactivation during network expansion/retraction) through a directed acyclic graph. The method enables the estimation of the configuration of the active portion of the network based on a limited number of observed nodes, and can be utilized to combine datasets with different temporal resolutions and spatial coverage. A proof-of-concept application to a seasonally-dry catchment in central Italy demonstrated the ability of the approach to reduce the empirical effort required for monitoring network dynamics and efficiently extrapolate experimental observations in space and time

The influence of the net rainfall mixed Curve Number – Green Ampt procedure in flood hazard mapping: a case study in Central Italy

A net rainfall estimation procedure, referred to as Curve-Number For Green-Ampt (CN4GA), combining the Soil Conservation Service - Curve Number (SCS-CN) method and the Green and Ampt (GA) infiltration equation was recently developed, aiming to distribute at subdaily time resolution the information provided by the SCS-CN method. The initial abstraction and the total volume of rainfall provided by the SCS-CN method are used to identify the ponding time and to quantify the hydraulic conductivity parameter of the GA equation, whereas the GA infiltration model distributes the total volume of the rainfall excess provided by the SCS-CN method. In this study we evaluate the proposed procedure with reference to a real case comparing the flood mapping obtained applying the event-based approach for two different net rainfall scenarios: the proposed CN4GA and the common SCS-CN. Results underline that the net rainfall estimation step can affect the final flood mapping result