Prospects for evolution to the target integrated broadbandcommunications network

This paper summarises the consolidated results of the collaborative research carried out within the workpackage `Evolution prospects and framework' (EPF) of the Project RACE 1044: IBC development and implementation strategies. The workpackage has provided pointers to the most suitable paths for evolution towards the target IBC (integrated broadband communications) reference configuration based on detailed analysis of the relevant demand-cost models. The work carried out within the workpackage is described and an overview given of the results achieved and of their exploitation within and outside the RACE community     

Crop yield after 5 decades of contrasting residue management

Nutrient Cycling in Agroecosystems - The benefits of soil organic input on crop yields have long been discussed, yet details of their relationship remain controversial. This study considers the...     

B-ISDN economical evaluation in metropolitan areas

The economical estimation of B-ISDN development in metropolitan areas, with particular reference to the application of the asynchronous transfer mode (ATM) techniques is addressed. The results achieved by applying models and methods developed in the framework of RACE 1044-EPF Case Study E (Evolution Prospects for Metropolitan Public Networks) to an urban area of 2 million inhabitants. Equipment volumes are estimated as a function of different demand scenarios, equipment evolution, and network performances. Economical figures that verify the cost-effectiveness of alternative developments and the viability of alternative introduction policies of B-ISDN are derived. The economical impact of fulfilling service integrity requirements of specific demand segments is evaluated. Usable planning guidelines and evolutionary strategies as regards network architecture, system introduction, and growth policies are defined     

ARMIDA TM: Multimedia Applications across ATM-Based Networks Accessed via Internet Navigation

ARMIDA TM (Applications Retrieving Multimedia Information Distributed over ATM) is a prototypical system for experimental applications based on the interactive retrieval of multimedia information from remote data bases over ATM networks. ARMIDA TM aims at being compliant with the specifications issued by the Digital Audio Visual Council (DAVIC) for interactive multimedia services and applications, as well as at representing a sample implementation of the system specified in DAVIC 1.0. The present paper illustrates the way ARMIDA TM works to provide these applications, by describing the system hardware and software architecture and its main components, with a particular concern towards the way they interact to implement the required functionality.     

Volume-Independent Sodium Toxicity in Peritoneal Dialysis: New Insights from Bench to Bed

Sodium overload is common in end-stage kidney disease (ESKD) and is associated with increased cardiovascular mortality that is traditionally considered a result of extracellular volume expansion. Recently, sodium storage was detected by Na23 magnetic resonance imaging in the interstitial tissue of the skin and other tissues. This amount of sodium is osmotically active, regulated by immune cells and the lymphatic system, escapes renal control, and, more importantly, is associated with salt-sensitive hypertension. In chronic kidney disease, the interstitial sodium storage increases as the glomerular filtration rate declines and is related to cardiovascular damage, regardless of the fluid overload. This sodium accumulation in the interstitial tissues becomes more significant in ESKD, especially in older and African American patients. The possible negative effects of interstitial sodium are still under study, though a higher sodium intake might induce abnormal structural and functional changes in the peritoneal wall. Interestingly, sodium stored in the interstial tissue is not unmodifiable, since it is removable by dialysis. Nevertheless, the sodium removal by peritoneal dialysis (PD) remains challenging, and new PD solutions are desirable. In this narrative review, we carried out an update on the pathophysiological mechanisms of volume-independent sodium toxicity and possible future strategies to improve sodium removal by PD.     

A visual language‐based system for extraction–transformation–loading development

Data warehouse loading and refreshment is typically performed by means of complex software processes called extraction–transformation–loading (ETL). In this paper, we propose a system based on a suite of visual languages for mastering several aspects of the ETL development process, turning it into a visual programming task. The approach can be easily generalized and applied to other data integration contexts beyond data warehouses. It introduces two new visual languages that are used to specify the ETL process, which can also be represented by means of UML activity diagrams. In particular, the first visual language supports data manipulation activities, whereas the second one provides traceability information of attributes to highlight the impact of potential transformations on integrated schemas depending on them. Once the whole ETL process has been visually specified, the designer might invoke the automatic generation of an activity diagram representing a possible orchestration of it based on its dependencies. The designer can edit such a diagram to modify the proposed orchestration provided that changes do not alter data dependencies. The final specification can be translated into code that is executable on the data sources. Finally, the effectiveness of the proposed approach has been validated through a user study in which we have compared the effort needed to design an ETL process in our approach with respect to the one required with main visual approaches described in the literature.Copyright © 2013 John Wiley & Sons, Ltd.     

A Normalization Framework for Multimedia Databases

We present a normalization framework for the design of multimedia database schemas with reduced manipulation anomalies. To this end, we introduce new extended dependencies. Such dependencies are based on distance functions that are used for detecting semantic relationships between complex data types. Based upon these new dependencies, we have defined five multimedia normal forms. Finally, we have performed a simulation on a large image data set to analyze the impact of the proposed framework in the context of content-based retrieval applications and in e-learning applications.     

Towards Syntax-Aware Editors for Visual Languages

Editors for visual languages should provide a user-friendly environment supporting end users in the composition of visual sentences in an effective way. Syntax-aware editors are a class of editors that prompt users into writing syntactically correct programs by exploiting information on the visual language syntax. In particular, they do not constrain users to enter only correct syntactic states in a visual sentence. They merely inform the user when visual objects are syntactically correct. This means detecting both syntax and potential semantic errors as early as possible and providing feedback on such errors in a non-intrusive way during editing. As a consequence, error handling strategies are an essential part of such editing style of visual sentences.In this work, we develop a strategy for the construction of syntax-aware visual language editors by integrating incremental subsentence parsers into free-hand editors. The parser combines the LR-based techniques for parsing visual languages with the more general incremental Generalized LR parsing techniques developed for string languages. Such approach has been profitably exploited for introducing a noncorrecting error recovery strategy, and for prompting during the editing the continuation of what the user is drawing.     

FIRST: Fractal Indexing and Retrieval SysTem for Image Databases

We present an image indexing method and a system to perform content-based retrieval in heterogeneous image databases (IDB). The method is based upon the fractal framework of the iterated function systems (IFS) widely used for image compression. The image index is represented through a vector of numeric features, corresponding to contractive functions (CF) of the IFS framework. The construction of the index vector requires a preliminary processing of the images to select an appropriate set of indexing features (i.e. contractive functions). The latter will be successively used to fill in the vector components, computed as frequencies by which the selected contractive functions appear inside the images. In order to manipulate the index vectors efficiently we use discrete Fourier transform (DFT) to reduce their cardinalities and use a spatial access method (SAM), like R*-tree, to improve search performances. The sound theoretical framework underlying the method enabled us to formally prove some properties of the index. However, for a complete validation of the indexing method, also in terms of effectiveness and efficacy, we performed several experiments on a large collection of images from different domains, which revealed good system performances with a low percentage of false alarms and false dismissals.