Modelo para formação dinâmica de rede de fornecedores em empresas estendidas

Supply chains have become an important focus for competitive advantage. The performance of a company increasingly depends on its ability to maintain effective and efficient relationships with its suppliers and customers. The extended enterprise (i.e. composed of several partners) needs to be dynamically formed in order to be agile and adaptable. According to the Digital Manufacturing paradigm, companies have to be able to quickly share and disseminate information regarding planning, designing and manufacturing of products. Additionally, they must be responsive to all technical and business determinants, as well as be assessed and certified for guaranteed performance. The current research intends to present a solution for the dynamic composition of the extended enterprise, formed to take advantage of market opportunities quickly and efficiently. A construction model was developed. This construction model consists of: information model, protocol model and process model. The information model has been defined based on the concepts of Supply Chain Operations Reference model (SCOR®). In this model is defined information for negotiating the participation of candidate companies in the dynamic establishment of a network for responding to a given demand for developing and manufacturing products, in seven steps as follows: request for information; request for qualification; alignment of strategy; request for proposal; request for quotation; compatibility of process; and compatibility of system. The protocol model has been elaborated and inspired in the OSI, this model provides a framework for linking customers and suppliers, indicates a sequence to be followed, in order to selecte companies to become suppliers. The process model has been implemented by means of process modeling according to the BPMN standard and, in turn, implemented as a web-based application that runs the process through its several steps, which uses forms to gather data. An application example in the context of the oil and gas industry is used for demonstrating the solution concept.

The influence of surface and deep cues on primary and secondary school students’ assessment of relevance in Web menus

International audience

Effect of vitamin D supplementation on bone status, glucose homeostasis and immune function in children with vitamin D deficiency

Background: Between 1961-1971 vitamin D deficiency was recognized as a public health issue in the UK, because of the lack of effective sunlight and the population mix [1, 2]. In recent years, health care professionals have cited evidence suggesting a re-emergence of the vitamin D deficiency linked to a number of health consequences as a concern [3-6]. Evidence from observational studies has linked low vitamin D status with impairment in glucose homeostasis and immune dysfunction [7-9]. However, interventional studies, particularly those focused on paediatric populations, have been limited and inconsistent. There is a need for detailed studies, to clarify the therapeutic benefits of vitamin D in these important clinical areas. Objective: The aims of this PhD thesis were two-fold. Firstly, to perform preliminary work assessing the association between vitamin D deficiency and bone status, glucose homeostasis and immune function, and to explore any changes in these parameters following short term vitamin D3 replacement therapy. Secondly, to assess the effectiveness of an electronic surveillance system (ScotPSU) as a tool to determine the current incidence of hospital-based presentation of childhood vitamin D deficiency in Scotland. Methods: Active surveillance was performed for a period of two years as a part of an electronic web-based surveillance programme performed by the Scottish Paediatric Surveillance Unit (ScotPSU). The validity of the system was assessed by identifying cases with profound vitamin D deficiency (in Glasgow and Edinburgh) from the regional laboratory. All clinical details were checked against those identified using the surveillance system. Thirty-seven children aged 3 months to 10 years, who had been diagnosed with vitamin D deficiency, were recruited for the bone, glucose and immunity studies over a period of 24 months. Twenty-five samples were analysed for the glucose and bone studies; of these, 18 samples were further analysed for immune study. Treatment consisted of six weeks taking 5000 IU units cholecalciferol orally once a day. At baseline and after completion of treatment, 25 hydroxyvitamin D (25(OH)D), parathyroid hormone (PTH), alkaline phosphatase (ALP), collagen type 1 cross-linked C-telopeptide (CTX), osteocalcin (OCN), calcium, phosphate, insulin, glucose, homeostasis model assessment index, estimated insulin resistance (HOMA IR), glycated hemoglobin (HbA1c), sex hormone binding globulin (SHBG), lipids profiles, T helper 1 (Th1) cytokines (interleukin-2 ( IL-2), tumor necrosis factors-alpha (TNF-α), interferon-gamma (INF-γ)), T helper 2 (Th2) cytokines (interleukin-4 (IL-4), interleukin-5 (IL-5), interleukin-6 (IL-6)), T helper 17 (Th17) cytokine (interleukin-17 (IL-17)), Regulatory T (Treg) cytokine (interleukin-10 (IL-10)) and chemokines/cytokines, linked with Th1/Th2 subset balance and/or differentiation (interleukin-8 (IL-8), interleukin-12 (IL-12), eosinophil chemotactic protein ( EOTAXIN), macrophage inflammatory proteins-1beta (MIP-1β), interferon-gamma-induced protein-10 (IP-10), regulated on activation, normal T cell expressed and secreted (RANTES), monocyte chemoattractant protein-1(MCP-1)) were measured. Leukoocyte subset analysis was performed for T cells, B cells and T regulatory cells and a luminex assay was used to measure the cytokiens. Results: Between September 2009 and August 2011, 163 cases of vitamin D deficiency were brought to the attention of the ScotPSU, and the majority of cases (n = 82) were reported in Glasgow. The cross-validation checking in Glasgow and Edinburgh over a one-year period revealed only 3 (11%) cases of clearly symptomatic vitamin D deficiency, which had been missed by the ScotPSU survey in Glasgow. While 16 (67%) symptomatic cases had failed to be reported through the ScotPSU survey in Edinburgh. For the 23 children who are included in bone and glucose studies, 22 (96%) children had basal serum 25(OH)D in the deficiency range (< 50 nmol/l) and one (4%) child had serum 25(OH)D in the insufficiency range (51-75 nmol/l). Following vitamin D3 treatment, 2 (9%) children had final serum 25(OH)D lower than 50 nmol/l, 6 (26%) children had final serum 25(OH)D between >50-75 nmol/l, 12 (52%) children reached a final serum 25(OH)D >75-150 nmol/l and finally 3 (13%) exceeded the normal reference range with a final 25(OH)D >150 nmol/l. Markers for remodelling ALP and PTH had significantly decreased (p = 0.001 and <0.0001 for ALP and PTH respectively). In 17 patients for whom insulin and HOMA IR data were available and enrolled in glucose study, significant improvements in insulin resistance (p = 0.04) with a trend toward a reduction in serum insulin (p = 0.05) was observed. Of those 14 children who had their cytokines profile data analysed and enrolled in the immunity study, insulin and HOMA IR data were missed in one child. A significant increase in the main Th2 secreted cytokine IL-4 (p = 0.001) and a tendency for significant increases in other Th2 secreted cytokines IL-5 (p = 0.05) and IL-6 (p = 0.05) was observed following vitamin D3 supplementation. Conclusion: An electronic surveillance system can provide data for studying the epidemiology of vitamin D deficiency. However, it may underestimate the number of positive cases. Improving vitamin D status in vitamin D deficient otherwise healthy children significantly improved their vitamin D deficient status, and was associated with an improvement in bone profile, improvements in insulin resistance and an alteration in main Th2 secreting cytokines.

Soft computing based parameter identification in pavements and geomechanical systems

Accurate estimation of road pavement geometry and layer material properties through the use of proper nondestructive testing and sensor technologies is essential for evaluating pavement’s structural condition and determining options for maintenance and rehabilitation. For these purposes, pavement deflection basins produced by the nondestructive Falling Weight Deflectometer (FWD) test data are commonly used. The nondestructive FWD test drops weights on the pavement to simulate traffic loads and measures the created pavement deflection basins. Backcalculation of pavement geometry and layer properties using FWD deflections is a difficult inverse problem, and the solution with conventional mathematical methods is often challenging due to the ill-posed nature of the problem. In this dissertation, a hybrid algorithm was developed to seek robust and fast solutions to this inverse problem. The algorithm is based on soft computing techniques, mainly Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs) as well as the use of numerical analysis techniques to properly simulate the geomechanical system. A widely used pavement layered analysis program ILLI-PAVE was employed in the analyses of flexible pavements of various pavement types; including full-depth asphalt and conventional flexible pavements, were built on either lime stabilized soils or untreated subgrade. Nonlinear properties of the subgrade soil and the base course aggregate as transportation geomaterials were also considered. A computer program, Soft Computing Based System Identifier or SOFTSYS, was developed. In SOFTSYS, ANNs were used as surrogate models to provide faster solutions of the nonlinear finite element program ILLI-PAVE. The deflections obtained from FWD tests in the field were matched with the predictions obtained from the numerical simulations to develop SOFTSYS models. The solution to the inverse problem for multi-layered pavements is computationally hard to achieve and is often not feasible due to field variability and quality of the collected data. The primary difficulty in the analysis arises from the substantial increase in the degree of non-uniqueness of the mapping from the pavement layer parameters to the FWD deflections. The insensitivity of some layer properties lowered SOFTSYS model performances. Still, SOFTSYS models were shown to work effectively with the synthetic data obtained from ILLI-PAVE finite element solutions. In general, SOFTSYS solutions very closely matched the ILLI-PAVE mechanistic pavement analysis results. For SOFTSYS validation, field collected FWD data were successfully used to predict pavement layer thicknesses and layer moduli of in-service flexible pavements. Some of the very promising SOFTSYS results indicated average absolute errors on the order of 2%, 7%, and 4% for the Hot Mix Asphalt (HMA) thickness estimation of full-depth asphalt pavements, full-depth pavements on lime stabilized soils and conventional flexible pavements, respectively. The field validations of SOFTSYS data also produced meaningful results. The thickness data obtained from Ground Penetrating Radar testing matched reasonably well with predictions from SOFTSYS models. The differences observed in the HMA and lime stabilized soil layer thicknesses observed were attributed to deflection data variability from FWD tests. The backcalculated asphalt concrete layer thickness results matched better in the case of full-depth asphalt flexible pavements built on lime stabilized soils compared to conventional flexible pavements. Overall, SOFTSYS was capable of producing reliable thickness estimates despite the variability of field constructed asphalt layer thicknesses.

Aplicación web para enseñanza/aprendizaje de cálculo y álgebra

El principal objetivo de este trabajo fin de grado es la implementación de una aplicación web que permita realizar actividades de enseñanza/aprendizaje en las ramas de cálculo y álgebra de las matemáticas, enfocada principalmente en los contenidos impartidos en las asignaturas de matemáticas en Bachillerato, concretamente de la unidad de realización de derivadas. Se han desarrollado dos modelos: Uno para el profesor, que permite la generación de los ejercicios, así como la consulta de las posibles soluciones. Esta aplicación ofrece al docente la posibilidad de mediante una serie de ajustes, generar de forma dinámica las actividades deseadas. Otro para el alumno, que permite la realización de las actividades y la inclusión de respuestas paso a paso, además de la visualización de las correcciones a sus procedimientos. Para el desarrollo de estas aplicaciones se ha usado el lenguaje Java con ayuda de JSON para el intercambio de datos. También se ha utilizado el motor de respuestas Wolfram Alpha para realizar las correcciones paso a paso de las respuestas de los alumnos.

Una herramienta web para la planificación de horarios y de asignaciones de aulas.

Este proyecto ha consistido en la realización de una aplicación web para cubrir una necesidad del centro universitario; la necesidad de gestionar los horarios y la asignación de aulas cada inicio de curso de una forma más automática de la que se usa en la actualidad. El objetivo principal ha sido que la aplicación fuera lo más intuitiva posible y que tenga una facilidad de uso que motivase su utilización. Para ello nos hemos decantado por una serie de características tanto visuales (distribución de la información, códigos de colores), como de uso (sistema de Drag&Drop). La aplicación tiene tres módulos principales: Un primer módulo para el manejo de los horarios, el cual nos permite la construcción de un horario para un grupo determinado evitando cualquier tipo de conflicto.El segundo módulo para la asignación de grupo a aulas, de forma que nos permite tener un control de los espacios del centro. El tercero y último, con una fuerte relación con el segundo, que en este caso se utiliza para asignar asignaturas optativas a aulas. Todo esto va acompañado por una variedad de páginas de información y de una vista administrativa para gestionar los datos necesarios para usar la aplicación. Una de las ventajas más importantes que tiene esta aplicación es la automatización a la hora de realizar todas las comprobaciones necesarias para hacer cualquier asignación. Debido a la envergadura del proyecto, optamos por realizar este proyecto conjuntamente entre tres personas para ser capaces de ofrecer un producto lo más completo posible sin salirnos de los límites de este trabajo de fin de grado.

Évaluation de la plateforme de formation en ligne MOTIV@CŒUR sur les interventions motivationnelles brèves auprès d’infirmières en soins aigus cardiovasculaires

Dans un contexte de prévention secondaire, les interventions motivationnelles brèves (IMB) effectuées par les infirmières ont le potentiel de réduire les facteurs de risque cardiovasculaires. De par sa flexibilité, la formation en ligne s’impose aujourd’hui comme une méthode pédagogique essentielle au développement des habiletés cliniques des professionnels de la santé. Le but de ce projet était d’évaluer la faisabilité, l’acceptabilité et l’effet préliminaire d’une plateforme de formation en ligne sur les IMB (MOTIV@CŒUR) sur les habiletés perçues et l’utilisation clinique des IMB chez des infirmières en soins cardiovasculaires. Pour ce faire, une étude pilote pré-post à groupe unique a été menée. MOTIV@CŒUR est composée de deux sessions d’une durée totale de 50 minutes incluant des vidéos d’interactions infirmière-patient. Dans chaque session, une introduction théorique aux IMB est suivie de situations cliniques dans lesquelles une infirmière évalue la motivation à changer et intervient selon les principes des IMB. Les situations ciblent le tabagisme, la non-adhérence au traitement médicamenteux, la sédentarité et une alimentation riche en gras et en sel. Il était suggéré aux infirmières de compléter les deux sessions de formation en ligne en moins de 20 jours. Les données sur la faisabilité, l'acceptabilité et les effets préliminaires (habiletés perçues et utilisation clinique auto-rapportée des IMB) ont été recueillies à 30 jours (± 5 jours) après la première session. Nous avons recruté 27 femmes et 4 hommes (âge moyen 37 ans ± 9) en mars 2016. Vingt-quatre des 31 participants (77%) ont terminé les deux sessions de formation en moins de 20 jours. À un mois suite à l’entrée dans l’étude, 28 des 31 participants avaient complété au moins une session. Un haut niveau d’acceptabilité a été observé vu les scores élevés quant à la qualité de l'information, la facilité d'utilisation perçue et la qualité de la plateforme MOTIV@CŒUR. Le score d'utilisation clinique auto-rapporté des interventions visant la confiance était plus élevé après les deux sessions qu’avant les sessions (P = .032). Bien que tous les scores fussent plus élevés après les deux sessions qu’au début, les autres résultats n’étaient pas statistiquement significatifs. En conclusion, l’implantation d’une plateforme de formation en ligne sur les IMB est à la fois faisable et acceptable auprès d’infirmières en soins aigus cardiovasculaires. De plus, une telle formation peut avoir un effet positif sur l'utilisation clinique d’interventions motivationnelles visant la confiance face au changement de comportement de santé.

DATA DRIVEN INTELLIGENT AGENT NETWORKS FOR ADAPTIVE MONITORING AND CONTROL

To analyze the characteristics and predict the dynamic behaviors of complex systems over time, comprehensive research to enable the development of systems that can intelligently adapt to the evolving conditions and infer new knowledge with algorithms that are not predesigned is crucially needed. This dissertation research studies the integration of the techniques and methodologies resulted from the fields of pattern recognition, intelligent agents, artificial immune systems, and distributed computing platforms, to create technologies that can more accurately describe and control the dynamics of real-world complex systems. The need for such technologies is emerging in manufacturing, transportation, hazard mitigation, weather and climate prediction, homeland security, and emergency response. Motivated by the ability of mobile agents to dynamically incorporate additional computational and control algorithms into executing applications, mobile agent technology is employed in this research for the adaptive sensing and monitoring in a wireless sensor network. Mobile agents are software components that can travel from one computing platform to another in a network and carry programs and data states that are needed for performing the assigned tasks. To support the generation, migration, communication, and management of mobile monitoring agents, an embeddable mobile agent system (Mobile-C) is integrated with sensor nodes. Mobile monitoring agents visit distributed sensor nodes, read real-time sensor data, and perform anomaly detection using the equipped pattern recognition algorithms. The optimal control of agents is achieved by mimicking the adaptive immune response and the application of multi-objective optimization algorithms. The mobile agent approach provides potential to reduce the communication load and energy consumption in monitoring networks. The major research work of this dissertation project includes: (1) studying effective feature extraction methods for time series measurement data; (2) investigating the impact of the feature extraction methods and dissimilarity measures on the performance of pattern recognition; (3) researching the effects of environmental factors on the performance of pattern recognition; (4) integrating an embeddable mobile agent system with wireless sensor nodes; (5) optimizing agent generation and distribution using artificial immune system concept and multi-objective algorithms; (6) applying mobile agent technology and pattern recognition algorithms for adaptive structural health monitoring and driving cycle pattern recognition; (7) developing a web-based monitoring network to enable the visualization and analysis of real-time sensor data remotely. Techniques and algorithms developed in this dissertation project will contribute to research advances in networked distributed systems operating under changing environments.

Évaluation de la plateforme de formation en ligne MOTIV@CŒUR sur les interventions motivationnelles brèves auprès d’infirmières en soins aigus cardiovasculaires

Dans un contexte de prévention secondaire, les interventions motivationnelles brèves (IMB) effectuées par les infirmières ont le potentiel de réduire les facteurs de risque cardiovasculaires. De par sa flexibilité, la formation en ligne s’impose aujourd’hui comme une méthode pédagogique essentielle au développement des habiletés cliniques des professionnels de la santé. Le but de ce projet était d’évaluer la faisabilité, l’acceptabilité et l’effet préliminaire d’une plateforme de formation en ligne sur les IMB (MOTIV@CŒUR) sur les habiletés perçues et l’utilisation clinique des IMB chez des infirmières en soins cardiovasculaires. Pour ce faire, une étude pilote pré-post à groupe unique a été menée. MOTIV@CŒUR est composée de deux sessions d’une durée totale de 50 minutes incluant des vidéos d’interactions infirmière-patient. Dans chaque session, une introduction théorique aux IMB est suivie de situations cliniques dans lesquelles une infirmière évalue la motivation à changer et intervient selon les principes des IMB. Les situations ciblent le tabagisme, la non-adhérence au traitement médicamenteux, la sédentarité et une alimentation riche en gras et en sel. Il était suggéré aux infirmières de compléter les deux sessions de formation en ligne en moins de 20 jours. Les données sur la faisabilité, l'acceptabilité et les effets préliminaires (habiletés perçues et utilisation clinique auto-rapportée des IMB) ont été recueillies à 30 jours (± 5 jours) après la première session. Nous avons recruté 27 femmes et 4 hommes (âge moyen 37 ans ± 9) en mars 2016. Vingt-quatre des 31 participants (77%) ont terminé les deux sessions de formation en moins de 20 jours. À un mois suite à l’entrée dans l’étude, 28 des 31 participants avaient complété au moins une session. Un haut niveau d’acceptabilité a été observé vu les scores élevés quant à la qualité de l'information, la facilité d'utilisation perçue et la qualité de la plateforme MOTIV@CŒUR. Le score d'utilisation clinique auto-rapporté des interventions visant la confiance était plus élevé après les deux sessions qu’avant les sessions (P = .032). Bien que tous les scores fussent plus élevés après les deux sessions qu’au début, les autres résultats n’étaient pas statistiquement significatifs. En conclusion, l’implantation d’une plateforme de formation en ligne sur les IMB est à la fois faisable et acceptable auprès d’infirmières en soins aigus cardiovasculaires. De plus, une telle formation peut avoir un effet positif sur l'utilisation clinique d’interventions motivationnelles visant la confiance face au changement de comportement de santé.

Knowledge-based management systems for the police force

Knowledge-Based Management Systems enable new ways to process and analyse knowledge to gain better insights to solve a problem and aid in decision making. In the police force such systems provide a solution for enhancing operations and improving client administration in terms of knowledge management. The main objectives of every police officer is to ensure the security of life and property, promote lawfulness, and avert and distinguish wrongdoing. The administration of knowledge and information is an essential part of policing, and the police ought to be proactive in directing both explicit and implicit knowledge, whilst adding to their abilities in knowledge sharing. In this paper the potential for a knowledge based system for the Mauritius police was analysed, and recommendations were also made, based on requirements captured from interviews with several long standing officers, and surveying of previous works in the area.

ORDENAMIENTO DEL TERRITORIO LOCAL ASISTIDO A TRAVES DE UN SISTEMA DE INFORMACIÓN GEOGRÁFICA.

El presente artículo muestra la aplicación de un Sistema de Información Geográfica (SIG) con una interfase con manejador de base de datos. El SIG utilizado es de modelo raster sin la capacidad de desarrollar una base de datos descriptiva. La aplicación desarrollada es conocida como Sistema de Información Geográfica para Gobiernos Locales (SIGGLO)y el área donde se implementó fue en el cantón de santo Domingo de la provincia de Heredia. En el apartado Los Planes de ordenamiento Territorial se discute sobre la utilidad que posee este tipo de instrumentos, que regulan el ordenamiento a nivel local y en forma paralela los autores presentan sus inquietudes del porqué los planes reguladores no han tenido el éxito deseado. Posteriormente, se presenta la visión de los autores sobre Los Planes de ordenamiento Manuales vs. Automatizados, el cual permite presentar las ventajas y desventajas que poseen los SiGs para implementar un Plan de Ordenamiento a través de esta tecnología. Seguidamente se presenta en detalle la experiencia obtenida con el SIGGLO, donde se explica la utilización del SIG y de un paquete de digitalización para combinar luego ambos con un manejador de bases de datos. Por último, se presentan una serie de restricciones que tiene el SIGGLO, también las recomendaciones que se deberían considerar al implementar un nuevo proyecto bajo la metodología del SIGGLO. ABSTRACTThe present article presents an application of a data base management system interfacing with a Geographical Information System (GIS). The utilized GIS for the project is a raster based system without the ability to develop a descriptive data base. This system is called Geographical Information System for Local Governments (SIGGLO) and was implemented in the canton of Santo Domingo, Costa Rica. It is mentioned in Territorial Organization Plans the utility that GIS systems have in regulating organization on a local level. In parallel form, the authors present their doubts of why these regulatory plans have not had the desired success. Afterwards, the authors present their vision of an Organization Plan for Manual and Automated functions which permit the presentation of the advantages and disadvantages that contain GIS in order to implement a Organization Plan with these technologies. Following this is a detailed presentation of the experience obtained with SIGGLO and where it is explained the utility of the GIS and of a digitizing software package which was later combined in the data base management system. Finally, a series of restrictions is presented that SIGGLO has which also contains details of recommendations that should be considered upon implementing a new project under the SIGGLO methodology.

Access all

Access All was performance produced following a three-month mentorship in web-based performance that I was commissioned to conduct for the performance company Igneous. This live, triple-site performance event for three performers in three remote venues was specifically designed for presentation at Access Grid Nodes - conference rooms located around the globe equipped with a high end, open source computer teleconferencing technology that allowed multiple nodes to cross-connect with each other. Whilst each room was setup somewhat differently they all deployed the same basic infrastructre of multiple projectors, cameras, and sound as well as a reconfigurable floorspace. At that time these relatively formal setups imposed a clear series of limitations in terms of software capabilities and basic infrastructure and so there was much interest in understanding how far its capabilities might be pushed.----- Numerous performance experiments were undertaken between three Access Grid nodes in QUT Brisbane, VISLAB Sydney and Manchester Supercomputing Centre, England, culminating in the public performance staged simultaneously between the sites with local audiences at each venue and others online. Access All was devised in collaboration with interdisciplinary performance company Bonemap, Kelli Dipple (Interarts curator, Tate Modern London) and Mike Stubbs British curator and Director of FACT (Liverpool).----- This period of research and development was instigated and shaped by a public lecture I had earlier delivered in Sydney for the ‘Global Access Grid Network, Super Computing Global Conference’ entitled 'Performance Practice across Electronic Networks'. The findings of this work went on to inform numerous future networked and performative works produced from 2002 onwards.

Privacy invasive geo-mashups : privacy 2.0 and the limits of first generation information privacy laws

Online technological advances are pioneering the wider distribution of geospatial information for general mapping purposes. The use of popular web-based applications, such as Google Maps, is ensuring that mapping based applications are becoming commonplace amongst Internet users which has facilitated the rapid growth of geo-mashups. These user generated creations enable Internet users to aggregate and publish information over specific geographical points. This article identifies privacy invasive geo-mashups that involve the unauthorized use of personal information, the inadvertent disclosure of personal information and invasion of privacy issues. Building on Zittrain’s Privacy 2.0, the author contends that first generation information privacy laws, founded on the notions of fair information practices or information privacy principles, may have a limited impact regarding the resolution of privacy problems arising from privacy invasive geo-mashups. Principally because geo-mashups have different patterns of personal information provision, collection, storage and use that reflect fundamental changes in the Web 2.0 environment. The author concludes by recommending embedded technical and social solutions to minimize the risks arising from privacy invasive geo-mashups that could lead to the establishment of guidelines for the general protection of privacy in geo-mashups.

Research monograph : emergence of smart urban ecosystems : application of ICT for capacity building in environmental decision making

Since the industrial revolution, our world has experienced rapid and unplanned industrialization and urbanization. As a result, we have had to cope with serious environmental challenges. In this context, explanation of how smart urban ecosystems can emerge, gains a crucial importance. Capacity building and community involvement have always been the key issues in achieving sustainable development and enhancing urban ecosystems. By considering these, this paper looks at new approaches to increase public awareness of environmental decision making. This paper will discuss the role of Information and Communication Technologies (ICT), particularly Web-based Geographic Information Systems (Web-based GIS) as spatial decision support systems to aid public participatory environmental decision making. The paper also explores the potential and constraints of these web-based tools for collaborative decision making.