Beniamino Murgante

Computational Science and Its Applications – ICCSA 2012

The neoclassical production function assumes that economic growth depends on exogenous factors of production centred on capital, labour and technology. However, residual variables, notably social capabilities and knowledge, are neglected. This study seeks to highlight that, in fact, they are key variables for understanding the economic growth and recent structural changes of an industrial cluster, both in technical and organizational terms. In this work, the peculiarity of knowledge and in particular of tacit knowledge form a crucial element in the social capabilities that are associated with enlarging knowledge learning processes and network diffusion. The aim of this research is to analyse the key role that knowledge and innovations play in the local wedding system of Bari in Puglia. They are the decisive factors in the survival of firms in a global market for the creation of competitive advantage and provide a basis for continuous innovation. The relationship between innovation and knowledge is discussed in the theoretical part of the paper, while the empirical aspect remains based upon results of consumer and producer surveys. The objective is to show how innovation, including demand-driven, can influence companies’ behaviours.

Computational Science and Its Applications – ICCSA 2013

The smart phone usage and multimedia devices have been increasing yearly and predictions indicate drastic increase in the upcoming years. Recently, various wireless technologies have been introduced to add flexibility to these gadgets. As data plans offered by the network service providers are expensive, users are inclined to utilize freely accessible and commonly available Wi-Fi networks indoors. LTE (Long Term Evolution) has been a topic of discussion in providing high data rates outdoors and various service providers are planning to roll out LTE networks all over the world. The objective of this presentation is to compare usefulness of these two leading wireless schemes based on LTE and Wireless Mesh Networks (WMN) and bring forward their advantages for indoor and outdoor environments. We also investigate to see if a hybrid LTE-WMN network may be feasible. Both these networks are heterogeneous in nature, employ cognitive approach and support multi hop communication. The main motivation behind this work is to utilize similarities in these networks, explore their capability of offering high data rates and generally have large coverage areas. In this work, we compare both these networks in terms of their data rates, range, cost, throughput, and power consumption. We also compare 802.11n based WMN with Femto cell in an indoor coverage scenario, while for outdoors; 802.16 based WMN is compared with LTE. The main objective is to help users select a network that could provide enhanced performance in a cost effective manner. More information can be found at http://www.iccsa.org/invited-speakers Neoclassical Growth Theory, Regions and Spatial Externalities

Computational Science and Its Applications – ICCSA 2010

Where you can find the computational science and its applications iccsa 2010 international conference fukuoka japan march 23 26 2010 proceedings part iii lecture notes in computer science easily? Is it in the book store? Online book store? are you sure? Keep in mind that you will find the book in this site. This book is very referred for you because it gives not only the experience but also lesson. The lessons are very valuable to serve for you, thats not about who are reading this computational science and its applications iccsa 2010 international conference fukuoka japan march 23 26 2010 proceedings part iii lecture notes in computer science book. It is about this book that will give wellness for all people from many societies.

Kernel Density Estimation Methods for a Geostatistical Approach in Seismic Risk Analysis: The Case Study of Potenza Hilltop Town (Southern Italy)

This paper focuses on an overview of kernel density estimation especially for what concerns the choice of bandwidth and intensity parameters according to local conditions. A case study inherent seismic risk analysis of the old town centre of Potenza hilltop town has been discussed, with particular attention to the evaluation of the possible local amplifying factors. This first integrated application of kernel density maps to analyse seismic damage scenarios with a geostatistical approach allowed to evaluate the local geological, geomorphological and 1857 earthquake macroseismic data, offering a new point of view of civil protection planning. The aim of geostatistical approach is to know seismic risk variability at local level, modelling and visualizing it.

Urban Versus Rural: The Decrease of Agricultural Areas and the Development of Urban Zones Analyzed with Spatial Statistics

Until a few decades ago it was very easy to distinguish between city and country: in most cases the edge was defined by defensive barriers. In recent times, the relationships between urban and rural areas completely changed, placing the country in a subordinate position. Consequently, many terms have been coined in order to describe the new phenomena taking place between city and country. The term adopted, “periurban area†, despite its large use, does not have a clear and unambiguous definition. Such various approaches are due to the complexity of the phenomenon to be analyzed and to the huge variety of territorial contexts in which it may reveal. The phenomenon is characterized by urban growth with soil consumption generating loss of competitiveness for agricultural activities. This paper defines more precise rules in order to describe the periurban phenomenon, using techniques of spatial statistic and point pattern analysis. This approach has been tested in the case of study of Potenza municipality. Interest in this area comes after the earthquake of 1980, when a large migration of inhabitants began towards the countryside around Potenza.

Multiscale mapping of burn area and severity using multisensor satellite data and spatial autocorrelation analysis

Abstract Traditional methods of recording fire burned areas and fire severity involve expensive and time-consuming field surveys. Available remote sensing technologies may allow us to develop standardized burn-severity maps for evaluating fire effects and addressing post fire management activities. This paper focuses on multiscale characterization of fire severity using multisensor satellite data. To this aim, both MODIS (Moderate Resolution Imaging Spectroradiometer) and ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) data have been processed using geo-statistic analyses to capture pattern features of burned areas. Even if in last decades different authors tried to integrate geo-statistics and remote sensing image processing, methods used since now are only variograms, semivariograms and kriging. In this paper, we propose an approach based on the use of spatial indicators of global and local autocorrelation. Spatial autocorrelation statistics, such as Morans I and Getis–Ord Local Gi index, were used to measure and analyze dependency degree among spectral features of burned areas. This approach enables the characterization of pattern features of a burned area and improves the estimation of fire severity.

Using participative GIS and e-tools for involving citizens of Marmo Platano–Melandro area in European programming activities

Traditional methods adopted in planning and programming activities have been developed in periods when society was less dynamic and complex. Such approaches led to defining the future evolution of a territory in great detail. The application of these methods in the current context of socio-economic transformation coupled with abrupt changes due to technological innovation, globalization and recent financial crisis contributed to the creation of a sort of ‘suspiciousness’ about planning and programming activities. Plans following such assumptions based their success on a faithful execution of planning instruments, but the extreme mutability of today’s socio-economic contexts may lead to the risk of discussing once again the location choices made many years before. In the present work, we use the ‘programming’ term to denote all government tools regulating the public economic investments for local development. In particular, we considered the hierarchy of intervention tools at different scales promoted by EU policies in different sectors: regional convergence, environment, education, social capital, etc. In our opinion, the programme is a particular part of planning activities connected more to economic resource management than to physical territorial dimensions. Programming activities influence territorial planning at different scales, but also implement several actions not directly connected to territorial transformations. For this reason, it is relevant to distinguish between the two terms. Since the 1960s, different approaches to strategic planning have been theorized. The main difference can be found in a sort of transition from a purely top-down approach to a ‘reticular interactive’ one, where the knowledge and imagination of society play a fundamental role in order to discover desirable scenarios. Such differences define three major families of strategic

Geocomputation and Urban Planning

Sixteen years ago, Franklin estimated that about 80% of data contain geo-referenced information. To date, the availability of geographic data and information is growing, together with the capacity of users to operate with IT tools and instruments. Spatial data infrastructures are growing and allow a wide number of users to rely on them. This growth has not been fully coupled to an increase of knowledge to support spatial decisions. Spatial analytical techniques, geographical analysis and modelling methods are therefore required to analyse data and to facilitate the decision process at all levels. Old geographical issues can find an answer thanks to new methods and instruments, while new issues are developing, challenging researchers towards new solutions. This volume aims to contribute to the development of new techniques and methods to improve the process of knowledge acquisition. The Geocomputational expression is related to the development and the application of new theories, methods and tools in order to provide better solutions to complex geographical problems. The geocomputational analysis discussed in this volume, could be classified according to three main domains of applications; the first one related to spatial decision support system and to spatial uncertainty, the second connected to artificial intelligence, the third based on all spatial statistics techniques.

A SMAP Supervised Classification of Landsat Images for Urban Sprawl Evaluation

The negative impacts of land take on natural components and economic resources affect planning choices and territorial policies. The importance of land take monitoring, in Italy, has been only recently considered, but despite this awareness, in the great part of the country, effective monitoring and containment measures have not been started, yet. This research proposes a methodology to map and monitor land use changes. To this end, a time series from 1985–2010, based on the multi-temporal Landsat data Thematic Mapper (TM), has been analyzed in the Vulture Alto-Bradano area, a mountain zone of the Basilicata region (Southern Italy). Results confirm a double potentiality of using these data: on the one hand, the use of multi-temporal Landsat data allows going very back in time, producing accurate datasets that provide a phenomenon trend over time; on the other hand, these data can be considered a first experience of open data in the field of spatial information. The proposed methodology provides agencies, local authorities and practitioners with a valuable tool to implement monitoring actions. This represents the first step to pursue territorial governance methods based on sustainability, limiting the land take.

Cities and Smartness: A Critical Analysis of Opportunities and Risks

The term “Smart City” is to-date widely used, but little clarity appears in the definition behind it. Several approaches led to a growing emphasis on the combined use of geographic information and communication technology to build cognitive frameworks in city planning and management. The present paper tackles an effort to define ‘smart cities’ and to identify both elements of smartness, and critical aspects related to the current interpretation of the term. In particular, the risk of considering the technological layer of Smart City as an innovative element has been observed, highlighting, on the contrary, the need to consider Smart Cities in terms of a major urban planning effort to coordinate and harmonize different urban players, sustained by ICT instruments.