The industrial policy debate

Includes bibliography

Productive development in open economies

Includes bibliography

International Industrial Co-operation

Report of the Expert Group Meeting organized by the United Nations Industrial Development Organization in co-operation with the Maison des sciences de I'homme Paris, 21-22 June 1974

Comparative study of policies on technology and industry in the Caribbean and their effects on development

Includes bibliography

A expansão urbano-industrial do município de Americana - SP: geotecnologias aplicadas à análise temporal e simulação de cenários

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

The new digital revolution: From the consumer Internet to the industrial Internet

The new digital technologies have led to widespread use of cloud computing, recognition of the potential of big data analytics, and significant progress in aspects of the Internet of Things, such as home automation, smart cities and grids and digital manufacturing. In addition to closing gaps in respect of the basic necessities of access and usage, now the conditions must be established for using the new platforms and finding ways to participate actively in the creation of content and even new applications and platforms. This message runs through the three chapters of this book. Chapter I presents the main features of the digital revolution, emphasizing that today’s world economy is a digital economy. Chapter II examines the region’s strengths and weaknesses with respect to digital access and consumption. Chapter III reviews the main policy debates and urges countries to take a more proactive approach towards, for example, regulation, network neutrality and combating cybercrime. The conclusion highlights two crucial elements: first, the need to take steps towards a single regional digital market that can compete in a world of global platforms by tapping the benefits of economies of scale and developing network economies; and second, the significance of the next stage of the digital agenda for Latin America and the Caribbean (eLAC2018), which will embody the latest updates to a cooperation strategy that has been in place for over a decade.

Industrial Restructuring in the Budapest agglomeration

The major 'motor' of the recent Hungarian industrial development has been foreign direct investment, particularly by multinational companies. This has stimulated the development process, as shown by the dynamism of production, exports and profitability of industry in Budapest. On the other hand, this has also led to a split of the industrial sphere into its foreign and domestic sections, or into foreign-owned companies and domestic SMEs. The major question asked in this project is where is Hungarian industry heading and will the gap between the contracting domestic part and the foreign multinationals continue to widen or will they be joined in a much more favourable scenario. Barta sees this as a question of whether Hungary can avoid the 'dead-end street' of South Asian industrialising countries, and instead move towards a new Eastern European or Hungarian model. He concludes that Budapest industry does not follow any given model and indeed its development probably cannot be seen as a 'model' proper in itself, but is, or will be, a mixture of different elements. This would be a welcome fusion of Hungary's rich human resources of accumulated knowledge with foreign direct investment. Budapest would play an exceptional role in such a process, as the gateway for foreign output to the rest of the country. The share of industry in the Budapest economy will continue to decrease, but it will become a more modern and profitable sector. It will also fulfil a technological transfer role between the developed world and the Hungarian countryside (or even a larger region of central and eastern Europe). Barta predicts that Budapest industry will develop a special structure, with a large subcontractor network supporting the large foreign enterprises, and alongside this industrial districts formed by SMEs.

The Garment Industry in Cambodia: Its Role in Poverty Reduction through Export-Oriented Development

Cambodia's export-oriented garment industry has contributed greatly to poverty reduction in the country through employment of the poor. This paper provides a statistical verification of this contribution based on firm-level data from 164 sampled companies collected in 2003. Its main conclusions confirm the substantial impact that employment in the garment industry has had on poverty reduction in Cambodia. Firstly, entry-level workers receive wages far above the poverty line. Secondly, females make up the predominant share of the main category jobs in the industry. Thirdly, barriers to employment and to promotions up to certain job categories are not high in terms of education and experience. Another important finding is that a typical sample firm exhibited high profitability, although there was wide variation in profitability among firms. This average of high profitability could be a good predictor of Cambodia's viability in the intensified competition since the phase out of the Multi-Fiber Arrangement (MFA) at the beginning of 2005. A point of note is that Cambodia's pattern of industrial development led by a labor-intensive industry is similar to that of neighboring countries in East Asia which earlier went through the initial stage of industrial development, except that Cambodia has lacked a strong government industrial promotion policy which characterized the earlier group.

The Iron and Steel Industry in Asia: Development and Restructuring

The paper examines the development and restructuring of the iron and steel industry in Asian countries. Studying countries that have integrated steelworks with large blast furnaces (South Korea, Taiwan, China and India) and countries without (Thailand, Indonesia and Malaysia), the paper shows the difference in the development processes across the countries and across time, and points to the diversity of the development experience of these countries. The paper argues that significant differences in steel production technologies in terms of initial investment and minimum-efficient scale, the changing role of the state, and shifting demand structures in the domestic steel markets of each country have been the important factors that led to the differences in the development path of the steel industry in each country.

Chapter 3 Industrial Location in Cambodia: Industrial Policies and Economic Statistics

Cambodia has experienced high economic growth in the last decade. Because most of its industries were destroyed during the Pol Pot regime and civil war, in the last 20 years the country has been working hard to liberalize its economy to attract foreign investors With its efforts to join the regional and international community and with changes in the international trade environment, Cambodia started to grow its economy in the late 1990s. Now, in the early 21st century, the Cambodian economy seems to be prepared to take off. We can observe a kind of industrial agglomeration occurring, even though still at a small scale. In this paper, first, I will review the history of Cambodia’s economic development since the late 1980s. Second, I will examine the economic policies, laws, rules, and other environmental factors which have influenced industrial development and industrial location in Cambodia. Third, I will introduce industrial location in the late 2000s. Lastly, I will introduce some statistical data for the future analysis of industrial location in Cambodia.

Development of an adequate model for verification of design safety-margins of the HTTR nuclear test facility

This work is based on the prototype High Engineering Test Reactor (HTTR) of the Japan Agency of Energy Atomic (JAEA). Its objective is to describe an adequate deterministic model to be used in the assessment of its design safety margins via damage domains. The concept of damage domain is defined and it is shown its relevance in the ongoing effort to apply dynamic risk assessment methods and tools based on the Theory of Stimulated Dynamics (TSD). To illustrate, we present results of an abnormal control rod (CR) withdrawal during subcritical condition and its comparison with results obtained by JAEA. No attempt is made yet to actually assess the detailed scenarios, rather to show how the approach may handle events of its kind

Development of a novel autonomous robot for navigation and inspect in oil wells

This paper proposes a novel robotic system that is able to move along the outside of the oil pipelines used in Electric Submersible Pumps (ESP) and Progressive Cavity Pumps (PCP) applications. This novel design, called RETOV, proposes a light weight structure robot that can be equipped with sensors to measure environmental variables avoiding damage in pumps and wells. In this paper, the main considerations and methodology of design and implementation are discussed. Finally, the first experimental results that show RETOV moving in vertical pipelines are analyzed.

Development of a methodology for nuclear data uncertainty propagation on isotopic evolution calculations for advanced nuclear systems

Una apropiada evaluación de los márgenes de seguridad de una instalación nuclear, por ejemplo, una central nuclear, tiene en cuenta todas las incertidumbres que afectan a los cálculos de diseño, funcionanmiento y respuesta ante accidentes de dicha instalación. Una fuente de incertidumbre son los datos nucleares, que afectan a los cálculos neutrónicos, de quemado de combustible o activación de materiales. Estos cálculos permiten la evaluación de las funciones respuesta esenciales para el funcionamiento correcto durante operación, y también durante accidente. Ejemplos de esas respuestas son el factor de multiplicación neutrónica o el calor residual después del disparo del reactor. Por tanto, es necesario evaluar el impacto de dichas incertidumbres en estos cálculos. Para poder realizar los cálculos de propagación de incertidumbres, es necesario implementar metodologías que sean capaces de evaluar el impacto de las incertidumbres de estos datos nucleares. Pero también es necesario conocer los datos de incertidumbres disponibles para ser capaces de manejarlos. Actualmente, se están invirtiendo grandes esfuerzos en mejorar la capacidad de analizar, manejar y producir datos de incertidumbres, en especial para isótopos importantes en reactores avanzados. A su vez, nuevos programas/códigos están siendo desarrollados e implementados para poder usar dichos datos y analizar su impacto. Todos estos puntos son parte de los objetivos del proyecto europeo ANDES, el cual ha dado el marco de trabajo para el desarrollo de esta tesis doctoral. Por tanto, primero se ha llevado a cabo una revisión del estado del arte de los datos nucleares y sus incertidumbres, centrándose en los tres tipos de datos: de decaimiento, de rendimientos de fisión y de secciones eficaces. A su vez, se ha realizado una revisión del estado del arte de las metodologías para la propagación de incertidumbre de estos datos nucleares. Dentro del Departamento de Ingeniería Nuclear (DIN) se propuso una metodología para la propagación de incertidumbres en cálculos de evolución isotópica, el Método Híbrido. Esta metodología se ha tomado como punto de partida para esta tesis, implementando y desarrollando dicha metodología, así como extendiendo sus capacidades. Se han analizado sus ventajas, inconvenientes y limitaciones. El Método Híbrido se utiliza en conjunto con el código de evolución isotópica ACAB, y se basa en el muestreo por Monte Carlo de los datos nucleares con incertidumbre. En esta metodología, se presentan diferentes aproximaciones según la estructura de grupos de energía de las secciones eficaces: en un grupo, en un grupo con muestreo correlacionado y en multigrupos. Se han desarrollado diferentes secuencias para usar distintas librerías de datos nucleares almacenadas en diferentes formatos: ENDF-6 (para las librerías evaluadas), COVERX (para las librerías en multigrupos de SCALE) y EAF (para las librerías de activación). Gracias a la revisión del estado del arte de los datos nucleares de los rendimientos de fisión se ha identificado la falta de una información sobre sus incertidumbres, en concreto, de matrices de covarianza completas. Además, visto el renovado interés por parte de la comunidad internacional, a través del grupo de trabajo internacional de cooperación para evaluación de datos nucleares (WPEC) dedicado a la evaluación de las necesidades de mejora de datos nucleares mediante el subgrupo 37 (SG37), se ha llevado a cabo una revisión de las metodologías para generar datos de covarianza. Se ha seleccionando la actualización Bayesiana/GLS para su implementación, y de esta forma, dar una respuesta a dicha falta de matrices completas para rendimientos de fisión. Una vez que el Método Híbrido ha sido implementado, desarrollado y extendido, junto con la capacidad de generar matrices de covarianza completas para los rendimientos de fisión, se han estudiado diferentes aplicaciones nucleares. Primero, se estudia el calor residual tras un pulso de fisión, debido a su importancia para cualquier evento después de la parada/disparo del reactor. Además, se trata de un ejercicio claro para ver la importancia de las incertidumbres de datos de decaimiento y de rendimientos de fisión junto con las nuevas matrices completas de covarianza. Se han estudiado dos ciclos de combustible de reactores avanzados: el de la instalación europea para transmutación industrial (EFIT) y el del reactor rápido de sodio europeo (ESFR), en los cuales se han analizado el impacto de las incertidumbres de los datos nucleares en la composición isotópica, calor residual y radiotoxicidad. Se han utilizado diferentes librerías de datos nucleares en los estudios antreriores, comparando de esta forma el impacto de sus incertidumbres. A su vez, mediante dichos estudios, se han comparando las distintas aproximaciones del Método Híbrido y otras metodologías para la porpagación de incertidumbres de datos nucleares: Total Monte Carlo (TMC), desarrollada en NRG por A.J. Koning y D. Rochman, y NUDUNA, desarrollada en AREVA GmbH por O. Buss y A. Hoefer. Estas comparaciones demostrarán las ventajas del Método Híbrido, además de revelar sus limitaciones y su rango de aplicación. ABSTRACT For an adequate assessment of safety margins of nuclear facilities, e.g. nuclear power plants, it is necessary to consider all possible uncertainties that affect their design, performance and possible accidents. Nuclear data are a source of uncertainty that are involved in neutronics, fuel depletion and activation calculations. These calculations can predict critical response functions during operation and in the event of accident, such as decay heat and neutron multiplication factor. Thus, the impact of nuclear data uncertainties on these response functions needs to be addressed for a proper evaluation of the safety margins. Methodologies for performing uncertainty propagation calculations need to be implemented in order to analyse the impact of nuclear data uncertainties. Nevertheless, it is necessary to understand the current status of nuclear data and their uncertainties, in order to be able to handle this type of data. Great eórts are underway to enhance the European capability to analyse/process/produce covariance data, especially for isotopes which are of importance for advanced reactors. At the same time, new methodologies/codes are being developed and implemented for using and evaluating the impact of uncertainty data. These were the objectives of the European ANDES (Accurate Nuclear Data for nuclear Energy Sustainability) project, which provided a framework for the development of this PhD Thesis. Accordingly, first a review of the state-of-the-art of nuclear data and their uncertainties is conducted, focusing on the three kinds of data: decay, fission yields and cross sections. A review of the current methodologies for propagating nuclear data uncertainties is also performed. The Nuclear Engineering Department of UPM has proposed a methodology for propagating uncertainties in depletion calculations, the Hybrid Method, which has been taken as the starting point of this thesis. This methodology has been implemented, developed and extended, and its advantages, drawbacks and limitations have been analysed. It is used in conjunction with the ACAB depletion code, and is based on Monte Carlo sampling of variables with uncertainties. Different approaches are presented depending on cross section energy-structure: one-group, one-group with correlated sampling and multi-group. Differences and applicability criteria are presented. Sequences have been developed for using different nuclear data libraries in different storing-formats: ENDF-6 (for evaluated libraries) and COVERX (for multi-group libraries of SCALE), as well as EAF format (for activation libraries). A revision of the state-of-the-art of fission yield data shows inconsistencies in uncertainty data, specifically with regard to complete covariance matrices. Furthermore, the international community has expressed a renewed interest in the issue through the Working Party on International Nuclear Data Evaluation Co-operation (WPEC) with the Subgroup (SG37), which is dedicated to assessing the need to have complete nuclear data. This gives rise to this review of the state-of-the-art of methodologies for generating covariance data for fission yields. Bayesian/generalised least square (GLS) updating sequence has been selected and implemented to answer to this need. Once the Hybrid Method has been implemented, developed and extended, along with fission yield covariance generation capability, different applications are studied. The Fission Pulse Decay Heat problem is tackled first because of its importance during events after shutdown and because it is a clean exercise for showing the impact and importance of decay and fission yield data uncertainties in conjunction with the new covariance data. Two fuel cycles of advanced reactors are studied: the European Facility for Industrial Transmutation (EFIT) and the European Sodium Fast Reactor (ESFR), and response function uncertainties such as isotopic composition, decay heat and radiotoxicity are addressed. Different nuclear data libraries are used and compared. These applications serve as frameworks for comparing the different approaches of the Hybrid Method, and also for comparing with other methodologies: Total Monte Carlo (TMC), developed at NRG by A.J. Koning and D. Rochman, and NUDUNA, developed at AREVA GmbH by O. Buss and A. Hoefer. These comparisons reveal the advantages, limitations and the range of application of the Hybrid Method.

Development of a human movement monitoring system based on wearable devices

It is essential to remotely and continuously monitor the movements of individuals in many social areas, for example, taking care of aging people, physical therapy, athletic training etc. Many methods have been used, such as video record, motion analysis or sensor-based methods. Due to the limitations in remote communication, power consumption, portability and so on, most of them are not able to fulfill the requirements. The development of wearable technology and cloud computing provides a new efficient way to achieve this goal. This paper presents an intelligent human movement monitoring system based on a smartwatch, an Android smartphone and a distributed data management engine. This system includes advantages of wide adaptability, remote and long-term monitoring capacity, high portability and flexibility. The structure of the system and its principle are introduced. Four experiments are designed to prove the feasibility of the system. The results of the experiments demonstrate the system is able to detect different actions of individuals with adequate accuracy.