Dynamic Integrated Approach Research Articles

LSTM Network-Based Adaptation Approach for Dynamic Integration in Intelligent End-Edge-Cloud Systems

LSTM Network-Based Adaptation Approach for Dynamic Integration in Intelligent End-Edge-Cloud Systems

Evaluation of aggregate and individual vehicle activity on emissions models and their impact on air quality

Near-roadway air quality modelling requires detailed inputs about traffic, vehicle emissions, and atmospheric dispersion in order to capture microscopic features of each phenomena. However, these inputs are often a major source of uncertainty in resultant air quality estimates. We aim to evaluate the impact of different traffic behavior patterns on vehicle emissions and the subsequent effect of these emissions on air quality estimates derived from dispersion models. Two approaches were developed, an “Aggregate” approach, where the behavior of ensembles of vehicles were simulated, and an “Instantaneous” approach, where individual vehicles were tracked through the network. We also developed a dynamic integrated approach to include traffic patterns, vehicle-induced emissions, and air dispersion, and compared the contribution of each to air quality simulations. Our results indicate that the Aggregate approach tends to overestimate emissions. Validation of NO2 concentrations generated from the dispersion model against measurements revealed a correlation of 61% and 79% for the Aggregate and Instantaneous approaches, respectively. Compared to the more commonly used Aggregate approach, modelling the individual behavior of vehicles provides a marked improvement on emissions and subsequent air quality estimates. Development of correction coefficients could improve Aggregate emission models based on the Instantaneous approach under different traffic situations.

A novel approach for dynamic information integration

A novel approach for dynamic information integration

A novel approach for dynamic information integration

With tremendous growth of data, in recent past, NoSQL databases have emerged and become the popular choices amongst top companies. Scalability can be easily achieved with these databases which are suitable for big companies working with streaming or social data. The consistency offered by these databases has always remained a concern for companies working with crucial and especially financial transactional data. Moreover, the entirely new architecture and new set of query language makes it more expensive and tedious to migrate the existing architecture on this new platform. The proposed architecture in this paper tries to eliminate these business issues by implementing the powers of NoSQL databases using the traditional RDBMS model. With this proposed architecture, the query language remains the same, the ACID properties can be maintained where required and more scalability and reliability can be achieved.

Investigating the Effectiveness of a Dynamic Integrated Approach to Teacher Professional Development

This paper argues that research on teacher professional development could be integrated with validated theoretical models of educational effectiveness research (EER). A dynamic integratedapproach (DIA) to teacher professional development is proposed. The methods and results of a study comparing the impact of the DIA and the Holistic - Reflective Approach (HA) to teacher professional development are presented. Teaching skills and teacher perceptions of teaching of 130 teachers and the achievement of their students (n=2356) were measured at the beginning and at the end of the intervention. Teachers found to be at a certain developmental stage were randomly allocated evenly into two groups. The first group employed the DIA andthe second the HA. Teachers employing the DIA managed to improve their teaching skills more than teachers employing the HA. Teacher perceptions and attitudes towards teaching have not been modified due to their participation in the interventions. On the other hand, the use of DIA also had a significant impact on student achievement. Implications of findings for the use of EER for improvement purposes are drawn and suggestions for research and practice in teacher professional development are provided.

A new dynamic integrated approach for wind speed forecasting

Wind energy is considered as one of the most promising and economical renewable energy. In order to insure maximum yield of wind energy, it is vital to evaluate wind energy potential of the wind farms. Since wind energy is proportional to the cube of wind speed, the evaluation of wind energy potential assessment comes down to the wind speed forecasting. In this paper, the wind speed is predicted by utilizing a new dynamic integrated approach. The novelties of this method mainly include: firstly, the Phase Space Reconstruction (PSR) is employed to dynamically choose the input vectors of the forecasting model; secondly, the data preprocessing approach, named the Kernel Principal Component Analysis (KPCA), is proposed to efficiently extract the nonlinear characteristics of the high-dimensional feature space reconstructed by the PSR; thirdly, Core Vector Regression (CVR) model, whose parameters are determined by the Competition Over Resource (COR) heuristic algorithm, is adopted to the model for quick computational speed; finally, the Grey Relational Analysis, Diebold-Mariano and Pesaran-Timmermann statistic are treated as evaluation tools to assess the forecasting effectiveness of this approach. The empirical results show that this integrated approach can significantly improve forecasting effectiveness and statistically outperform some other benchmark methods in terms of the directional forecasting and level forecasting.

The Dynamic Integrated Approach to teacher professional development: rationale and main characteristics

This paper refers to the Dynamic Integrated Approach (DIA) towards teacher professional development, which attempts to merge research findings on teacher effectiveness and teacher professional development. The theoretical framework and the major features of the DIA are presented. It is argued that the DIA can be effectively implemented through five steps: establishing clarity and consensus about aims and objectives; identifying needs and priorities for improvement through empirical investigation; provision of improvement guidelines, reflection opportunities and coaching on effective teaching by the Advisory and Research Team; establishing a formative evaluation mechanism; and finally establishing a summative evaluation system. Results of empirical studies providing support to the basic elements and the overall effectiveness of the DIA are also presented. Implications of the findings are discussed and suggestions for further research, particularly in exploring the conditions under which the DIA could have a long-lasting effect on teacher effectiveness, are finally drawn.

Dynamic management of the coasts: marine spatial planning

The Black Sea is one of the world's largest enclosed water bodies and is suffering from human-induced anthropogenic pressure. Fish stocks are in danger, eutrophication is persistent in some areas, and pollution, floods and coastal erosion are always risks in this unique ecosystem. More than 10 million people live in the coastal zone of the southern Black Sea. The limited coastal area and resources create conflicts among inhabitants of the region and governing bodies. There is an urgent need to protect the coastal zone and living resources and to eliminate the personal and governmental issues by taking account of all stakeholders' approaches to the problem. A sample application based on real data from the region was presented to stress the types of conflicts in Trabzon, Yomra district. The problem was found to be mainly a spatial management issue in the coastal zone. In this study a dynamic integrated approach is proposed for the spatial management of the southern Black Sea coastal zone. In general, the proposed approach will be a kind of decision support system including social, economic, biotic and abiotic factors to determine the spatial management of the study area.

An Adaptable and Flexible Framework for Assistive Living of Cognitively Impaired People

On account of chronic neurocognitive disorders, many people progressively lose their autonomy and become more dependent on others, finally reaching the stage when they need round-the-clock care from caregivers. Over time, as patients' needs increase with the evolution of their diseases, caregivers experience increasing levels of stress and burden. Therefore, an assistive solution that is able to adapt to the changing needs of the end-users is needed. This need was considered as a major requirement that emerged from our field work and deployment experience in Singapore. In this paper, we focus on the technical aspects of our deployment, where we were interested in solving the technical requirement of adaptability and extendibility of the framework that has emerged from our predeployment analysis and discussions with professional caregivers. We expose our approach for dynamic integration of assistive services with their related sensing technologies and interaction devices and provide the technical results of the deployment of this solution. We also provide guidelines for real-world deployment of assistive solutions.

A conceptual meta-framework for managing multicultural global virtual teams

Although GVTs can bring about many benefits for organisations, the potential advantages of using GVTs largely depend upon fulfilling the requirements prescribed by the critical success factors (CSFs) of implementing GVTs such as resolving the multiculturalism issues. Likewise, it is acknowledged that management aspects of implementing GVTs present one of the most complicated tasks in deploying the foregoing teams in organisations. These complications have roots in the necessity of using ICTs as the main medium exacerbated by multiculturalism and geographical dispersion of members. The area is in need of further research, which necessitates building intermediate theories and frameworks. This paper aims at critically observing and analysing the existing literature on managing GVTs as the first step resulting in developing theoretical frameworks. Drawing upon a dynamic integrated approach, this paper presents a conceptual meta-framework for incorporating different issues of managing GVTs titled as ‘Dynamic Package of Managing’ (DPM) global virtual teams.

Improving multimedia as a service (MaaS) approach for dynamic multimedia content integration

Multimedia content is derived from various autonomous, distributed and heterogeneous content sources. Service Oriented Architecture SOA is seen as a general answer to data integration problems. In this research work, we extend previous research works based on a model called Multimedia as a Service MaaS; through which multimedia content providers expose their content. We propose now a method to automatically discover and invoke relevant MaaSs services, which enables dynamic and transparent multimedia content integration according to user's preferences and device capabilities. For that, we propose to enhance the semantics in the MaaSs services description using domain ontology and use the standard Composite Capabilities/Preferences Profile CC/PP of W3C to manage the user profile.

A Dynamic Integrated Approach to teacher professional development: Impact and sustainability of the effects on improving teacher behaviour and student outcomes

This paper reports the results of an experimental study investigating the impact and the one-year sustainability of the effects of the Dynamic Integrated Approach (DIA) to teacher professional development. Teaching skills of the participating teachers and their student achievement in mathematics were measured at the beginning and at the end of the interventions. The DIA had an impact on improving teaching skills and student achievement. A follow-up measurement of teaching skills, one year after the end of the interventions, revealed no further improvement or declination. Implications are drawn and suggestions for further research are provided.

The impact of a dynamic approach to professional development on teacher instruction and student learning: results from an experimental study

This paper argues that Educational Effectiveness Research (EER) should establish closer links with research on teacher professional development. A dynamic integrated approach (DIA) to teacher professional development is proposed. The methods and results of a study comparing the impact of the DIA and the Holistic Approach (HA) to teacher professional development are presented. Teaching skills of 130 teachers and achievement of their students (n = 2356) were measured at the beginning and at the end of the intervention. Teachers found to be at a certain developmental stage were randomly allocated evenly into 2 groups. The first group employed the DIA and the second the HA. Teachers employing the DIA managed to improve their teaching skills more than teachers employing the HA. The use of the DIA also had a significant impact on student achievement. Implications of findings for the use of EER for improvement purposes are drawn.

Toward an Open Network Business Approach

The aim of this paper is to propose a dynamic integrated approach, based on modularity concept and on the business ecosystem approach, that exploit different eBusiness services for SMEs under an open business network platform. The adoption of this approach enables firms to collaborate locally for delivering the best product/service to the customers as well as globally by accessing international markets, interrelate directly with the customers, create relationships and collaborate with worldwide actors. The paper will be structured as following: We will start by offering an overview of the state of the art of eBusiness platforms among SME of food and tourism firms and then we discuss the main drawbacks that characterize them. The digital business ecosystem approach and the modularity concept will be described as the theoretical ground in which our proposed integrated model is rooted. Finally, the proposed model along with a discussion of the main value creation potentialities it might create for SMEs will be presented.

Social structure of an illness and its relation to medicines. A dynamic integrated approach

Aborder la question de la construction sociale de la maladie pour un sociologue, revient à analyser l’ensemble des aspects sociaux qui entoure l’homme. En somme, vu leur imbrication dans notre vie, la santé et la maladie constituent pour le sociologue des faits sociaux une grande pertinence révélatrice de la trame de la société et de la culture. Pour pouvoir englober et rendre compte de cette complexité, l’analyse sociologique de la maladie intègre les différents paramètres impliqués dans ce processus. Dans cet élan, elle tente de prendre en compte aussi bien les modèles socio-culturels locaux que les normes et savoirs véhiculés par la médecine moderne. Et c’est justement à travers cette approche ouverte et dynamique que l’analyse sociologique relative à la santé et à la maladie, peut revendiquer un champ d’investigation théorique, tout aussi autonome que pertinent, œuvrant ainsi à l’élaboration d’une vision unitaire et intégratrice de l’homme.

A system approach for partially reconfigurable architectures

The increasing logic density of current Field Programmable Gate Arrays (FPGA) enables the integration of whole systems on one programmable chip. Using concepts of partial dynamic reconfiguration allows the adaptation of complex systems to changing requirements at run-time. In this paper we present a realisable approach for dynamic system integration on Xilinx Virtex FPGAs. In contrast to existing approaches that consider fixed slots for module placement, our approach allows fine-grained placement of modules with variable width along a horizontal communication infrastructure. By simulation we show that the proposed 1D-approach outperforms 2D-approaches by means of the device utilisation and external fragmentation.

Multidatabase query processing with uncertainty in global keys and attribute values

Semantic integration and data integration are two main processes that multidatabase systems need to employ in order to support interoperability. Both these processes involve uncertainty when attribute correspondences and global IDs are unknown or imprecise. The role-set approach is a new conceptual framework for data integration in multidatabase systems that maintains the materialization autonomy of local database systems by presenting the answer to a query as a set of sets representing the distinct intersections between the relations corresponding to the various roles played by an entity. In this article, we present an approach for dynamic database integration and query processing in the absence of information about attribute correspondences and global IDs. We define different types of equivalence conditions for the construction of global IDs. We propose a strategy based on ranked role-sets that makes use of an automated semantic integration procedure based on neural networks to determine candidate global IDs. The data integration and query processing steps then produce a number of role-sets, ranked by the similarity of the candidate IDs. © 1998 John Wiley & Sons, Inc.

Multidatabase query processing with uncertainty in global keys and attribute values

Semantic integration and data integration are two main processes that multidatabase systems need to employ in order to support interoperability. Both these processes involve uncertainty when attribute correspondences and global IDs are unknown or imprecise. The role-set approach is a new conceptual framework for data integration in multidatabase systems that maintains the materialization autonomy of local database systems by presenting the answer to a query as a set of sets representing the distinct intersections between the relations corresponding to the various roles played by an entity. In this article, we present an approach for dynamic database integration and query processing in the absence of information about attribute correspondences and global IDs. We define different types of equivalence conditions for the construction of global IDs. We propose a strategy based on ranked role-sets that makes use of an automated semantic integration procedure based on neural networks to determine candidate global IDs. The data integration and query processing steps then produce a number of role-sets, ranked by the similarity of the candidate IDs.