Characteristics features, economical aspects and environmental impacts of gen-4 nuclear power for developing countries

The growing demand of energy has delicate the requirement of alternative sources of energies other than fossil fuels. Though renewable energy resources like solar, biomass, hydro and geothermal energy appear as environment friendly, replenishing sources of energy, a comprehensive solution appears far-fetched as far as large scale production and wide-spread dissemination is concerned when long term cost factors are taken into consideration. In this paper, discussions on the advanced fourth generation nuclear power on the basis of environmental contamination, energy security, cost of fossil fuels and electricity generation and have philosophy to the prospects of nuclear power as the ultimate future energy option for the developing countries are done. This study proposes that gen-4 nuclear appears to be a long term environment favorable panacea to the much discoursed problem of energy crisis by maintaining energy security and long term cost concern in developing countries as well as in the whole world. Keywords: Gen-4 nuclear, reactor, kinetics, neutron, delayed neutron, transient

Business rules based legacy system evolution towards service-oriented architecture.

Enterprises can be empowered to live up to the potential of becoming dynamic, agile and real-time. Service orientation is emerging from the amalgamation of a number of key business, technology and cultural developments. Three essential trends in particular are coming together to create a new revolutionary breed of enterprise, the service-oriented enterprise (SOE): (1) the continuous performance management of the enterprise; (2) the emergence of business process management; and (3) advances in the standards-based service-oriented infrastructures. This thesis focuses on this emerging three-layered architecture that builds on a service-oriented architecture framework, with a process layer that brings technology and business together, and a corporate performance layer that continually monitors and improves the performance indicators of global enterprises provides a novel framework for the business context in which to apply the important technical idea of service orientation and moves it from being an interesting tool for engineers to a vehicle for business managers to fundamentally improve their businesses

Migrating legacy system towards object technology

Thèse numérisée par la Direction des bibliothèques de l'Université de Montréal

The Challenge of Machine Learning in Space Weather Nowcasting and Forecasting

The numerous recent breakthroughs in machine learning (ML) make imperative to carefully ponder how the scientific community can benefit from a technology that, although not necessarily new, is today living its golden age. This Grand Challenge review paper is focused on the present and future role of machine learning in space weather. The purpose is twofold. On one hand, we will discuss previous works that use ML for space weather forecasting, focusing in particular on the few areas that have seen most activity: the forecasting of geomagnetic indices, of relativistic electrons at geosynchronous orbits, of solar flares occurrence, of coronal mass ejection propagation time, and of solar wind speed. On the other hand, this paper serves as a gentle introduction to the field of machine learning tailored to the space weather community and as a pointer to a number of open challenges that we believe the community should undertake in the next decade. The recurring themes throughout the review are the need to shift our forecasting paradigm to a probabilistic approach focused on the reliable assessment of uncertainties, and the combination of physics-based and machine learning approaches, known as gray-box.Comment: under revie

Reinforcement Learning

Brains rule the world, and brain-like computation is increasingly used in computers and electronic devices. Brain-like computation is about processing and interpreting data or directly putting forward and performing actions. Learning is a very important aspect. This book is on reinforcement learning which involves performing actions to achieve a goal. The first 11 chapters of this book describe and extend the scope of reinforcement learning. The remaining 11 chapters show that there is already wide usage in numerous fields. Reinforcement learning can tackle control tasks that are too complex for traditional, hand-designed, non-learning controllers. As learning computers can deal with technical complexities, the tasks of human operators remain to specify goals on increasingly higher levels. This book shows that reinforcement learning is a very dynamic area in terms of theory and applications and it shall stimulate and encourage new research in this field

Rethinking emotion: New research in emotion and recent debates in cognitive science.

Cognitive science is currently the scene of a number of exciting debates. The so-called 'classical' approach, which has dominated the field since the 1950s, is increasingly being challenged on various fronts. Evolutionary psychologists and researchers in artificial life accuse classical cognitive scientists of ignoring the fact that natural cognition is not designed to solve abstract problems and prove theorems but to solve particular adaptive problems. Those working with a 'situated' view of the mind are challenging the classical commitment to internalism. Finally, proponents of dynamical approaches claim that the discrete models favoured by the classical approach are too coarse-grained and impute too much internal structure to the mind. In this thesis I argue that the 'non-classical' approaches are compatible with classical cognitive science, with the important proviso that compatibility comes in different kinds. In the final chapter I outline a vision of a comprehensive 'integrated non-classical cognitive science' that combines the three non-classical approaches into a single conceptual bundle. I illustrate these claims about cognitive science in general with reference to a particular field of research: the emotions. Emotions were ignored by most classical cognitive scientists, though some models of emotion were developed within the classical framework. These models, however, provided no way of distinguishing emotion from cognition. I argue that the non-classical approaches remedy this problem, and together provide a new way of thinking about the emotions which I dub 'the interruption theory'. Since the interruption theory borrows insights from all three of the non-classical forms of cognitive science, it serves as a good example of the integrated non-classical approach that I recommend for cognitive science in general

Catching up or being dependent: the growth of capabilities among indigenous technological integrators during Chinese development

The thesis appraises certain key processes – albeit rather limited in number and scope – widely assumed to be associated with assessing the role of technological capability building in developing country (DC) firms. The latter are affected by their DC status on both the demand side (e.g. by rapid growth of the economy via consumption and trade) and the supply side (of technological catch-up etc.). Such broad considerations set the scene for our specific study. In this thesis, the component of technological capabilities that we highlight by studying local integrated product providers is the capability for systemic product development. We argue that the organisational system of industrial firms in DCs plays a fundamental role in their technological learning performance. Here, the developmental context is stressed because we suggest that the knowledge about how to organise effective learning, termed 'social technology', is at least as scarce as the 'physical technology' in such contexts, compared with those prevailing in the developed countries. Therefore, when DC firms shift into a new domain, the organisational systems that they rely on often have to be created rather than simply selected. This may be because, as first-movers in their circumstances, even when they are informed by external sources, they have very little practical experience of carrying out similar actions successfully within their own contexts. Therefore, studying organisational building in their early phase could prove critical for understanding their capability building processes. Empirical studies of China‘s car-making and telecom-equipment sectors over the past three decades are taken to support theoretical exploration in this thesis. Some scholars (e.g. Bell and Pavitt, 1992) point out that, in DCs, the growth of production capacity does not automatically lead to the building of technological capability. The experiences of China‘s car-making and telecomequipment sectors are exactly in line with this point of view. From the mid 1980s, the Chinese government implemented a 'trading market for technology (TMFT)' policy, encouraging its backbone SOEs (State Owned Enterprises) to establish productive joint ventures (JVs) with MNCs (Multinational Corporations). By doing so, policy-makers expected backbone SOEs to undergo a bottom-up capability building trajectory via learning closely from their JV partners. We term these SOEs and their JVs the 'Group-A firms' in our research. Contrary to the expectations of policy-makers, Group-A firms were locked into the manufacturing segment even after twenty years of TMFT practices, and seldom had new systemic products developed indigenously, prior to 2005 at least. On the contrary, the indigenous advance of technological capability building has actually been led by some new entrants. Their development has been independent of the advocacy of TMFT. They relied on in-house developed products from the very beginning after entering the corresponding industries, and succeeded in building sustainable competitiveness. We term them the 'Group-B firms'. By comparing these Group-A and Group-B firms, we argue that there are distinctive differences in organisational learning systems between them. Four components are developed of the concept of organisational learning systems, i.e. the strategic intent, the authority over strategic resource allocation, the pattern of organisational mobilisation and learning integration, and the facilities and institutions for knowledge accumulation. For the latter three components, we succeed in generating a clear contrast between these two groups of firms. We undertake a thorough comparison of authority over strategic resource allocation by studying the constitution of their top committees. As for the patterns of learning mobilisation and organisational integration, we find distinct differences in the scope of knowledge communication of front-line engineers, and relevant institutional arrangements to mobilise, integrate and direct the content of communication. Regarding the facilities for knowledge accumulation and application, the study of their knowledge database building engenders a clear contrast, as well as the institutional arrangements to regulate and promote relevant activities within their organisations. We also discover significant connections between the organisational systems of Group-B firms and their processes of knowledge search, generation and accumulation. Three important mechanisms of new knowledge creation in Group-B firms are examined, namely learning through recruitment, learning through cooperative projects and learning through interaction with customers. Our empirical study reveals that the authority stressing the investment in new product and technology development, the cross-boundary inter-departmental platform of knowledge conversion, the comprehensive knowledge-accumulating facilities, and the institutions backing these components play fundamental roles in shaping these learning mechanisms. Therefore, the organisational differences of these two groups of firms are connected with the differences of these two subsets of firms‘ technological learning performances. Besides, we discuss the social roots of their organisational systems by historically revisiting China‘s industrial system. By doing so, for the research community that focuses on technological learning in DCs, this thesis advocates a shift of research from stressing assimilative processes of firms to giving more emphasis to organisational changes as a centrepiece of studies

IP and ATM integration: A New paradigm in multi-service internetworking

ATM is a widespread technology adopted by many to support advanced data communication, in particular efficient Internet services provision. The expected challenges of multimedia communication together with the increasing massive utilization of IP-based applications urgently require redesign of networking solutions in terms of both new functionalities and enhanced performance. However, the networking context is affected by so many changes, and to some extent chaotic growth, that any approach based on a structured and complex top-down architecture is unlikely to be applicable. Instead, an approach based on finding out the best match between realistic service requirements and the pragmatic, intelligent use of technical opportunities made available by the product market seems more appropriate. By following this approach, innovations and improvements can be introduced at different times, not necessarily complying with each other according to a coherent overall design. With the aim of pursuing feasible innovations in the different networking aspects, we look at both IP and ATM internetworking in order to investigating a few of the most crucial topics/ issues related to the IP and ATM integration perspective. This research would also address various means of internetworking the Internet Protocol (IP) and Asynchronous Transfer Mode (ATM) with an objective of identifying the best possible means of delivering Quality of Service (QoS) requirements for multi-service applications, exploiting the meritorious features that IP and ATM have to offer. Although IP and ATM often have been viewed as competitors, their complementary strengths and limitations from a natural alliance that combines the best aspects of both the technologies. For instance, one limitation of ATM networks has been the relatively large gap between the speed of the network paths and the control operations needed to configure those data paths to meet changing user needs. IP\u27s greatest strength, on the other hand, is the inherent flexibility and its capacity to adapt rapidly to changing conditions. These complementary strengths and limitations make it natural to combine IP with ATM to obtain the best that each has to offer. Over time many models and architectures have evolved for IP/ATM internetworking and they have impacted the fundamental thinking in internetworking IP and ATM. These technologies, architectures, models and implementations will be reviewed in greater detail in addressing possible issues in integrating these architectures s in a multi-service, enterprise network. The objective being to make recommendations as to the best means of interworking the two in exploiting the salient features of one another to provide a faster, reliable, scalable, robust, QoS aware network in the most economical manner. How IP will be carried over ATM when a commercial worldwide ATM network is deployed is not addressed and the details of such a network still remain in a state of flux to specify anything concrete. Our research findings culminated with a strong recommendation that the best model to adopt, in light of the impending integrated service requirements of future multi-service environments, is an ATM core with IP at the edges to realize the best of both technologies in delivering QoS guarantees in a seamless manner to any node in the enterprise

Experimental Object-Oriented Modelling

This thesis examines object-oriented modelling in experimental system development. Object-oriented modelling aims at representing concepts and phenomena of a problem domain in terms of classes and objects. Experimental system development seeks active experimentation in a system development project through, e.g., technical prototyping and active user involvement. We introduce and examine "experimental object-oriented modelling" as the intersection of these practices