877 resultados para Network approach
Resumo:
Employment-related policies are sensitive by any standard, and they remain basically national despite international labour standards (ILS) being even older than the United Nations. Globalization is changing this situation where countries may have to choose between ‘more’ or ‘better’ jobs. The multilateral framework of the World Trade Organization (WTO) can only have an indirect impact. But Regional Trade Agreements (RTA) and International Investment Agreements (IIA) are emerging as a new way of gradually enhancing the impact of certain labour standards. In addition, unilateral measures both by governments and importers driven by social and environmental consumer preferences and pressure groups increasingly shape the international regulatory framework for national employment policies. Even small, locally operating enterprises risk marginalization and market exclusion by ignoring these developments. The long-term influence of this new ‘network approach’ on employment-related policies, including job location, gender issues, social coherence and migration remains to be seen. Nonetheless, the still flimsy evidence gathered here seems to indicate that this new, international framework might increase sustainable employment where and when supporting measures, including through unilateral preferences and even sanctions, form a ‘cocktail’ which export-oriented industries and their suppliers will find palatable.
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La gestión integrada de cuencas resulta ser una directriz de los organismos internacionales. Desde la gestión local se apela a la participación social, al tiempo que las redes de organizaciones socio-territoriales reclaman mayor injerencia en procesos de control para el saneamiento de las cuencas en Buenos Aires. En cualquier caso, sobrevuelan ideas tales como "integración" (de componentes) y "participación" (de grupos y sectores), que no necesariamente son concebidas unívocamente por todos los actores sociales en juego. Mientras tanto, el control de la contaminación del agua sigue siendo una zona gris en la gestión, a pesar de la creación de autoridades de cuenca. Desde un enfoque de redes, el presente trabajo rastrea en documentos de organismos internacionales, entrevistas a funcionarios locales y miembros de organizaciones territoriales, las acepciones sobre la "gestión integrada" y la "participación" en torno a cuencas metropolitanas degradadas
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La gestión integrada de cuencas resulta ser una directriz de los organismos internacionales. Desde la gestión local se apela a la participación social, al tiempo que las redes de organizaciones socio-territoriales reclaman mayor injerencia en procesos de control para el saneamiento de las cuencas en Buenos Aires. En cualquier caso, sobrevuelan ideas tales como "integración" (de componentes) y "participación" (de grupos y sectores), que no necesariamente son concebidas unívocamente por todos los actores sociales en juego. Mientras tanto, el control de la contaminación del agua sigue siendo una zona gris en la gestión, a pesar de la creación de autoridades de cuenca. Desde un enfoque de redes, el presente trabajo rastrea en documentos de organismos internacionales, entrevistas a funcionarios locales y miembros de organizaciones territoriales, las acepciones sobre la "gestión integrada" y la "participación" en torno a cuencas metropolitanas degradadas
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La gestión integrada de cuencas resulta ser una directriz de los organismos internacionales. Desde la gestión local se apela a la participación social, al tiempo que las redes de organizaciones socio-territoriales reclaman mayor injerencia en procesos de control para el saneamiento de las cuencas en Buenos Aires. En cualquier caso, sobrevuelan ideas tales como "integración" (de componentes) y "participación" (de grupos y sectores), que no necesariamente son concebidas unívocamente por todos los actores sociales en juego. Mientras tanto, el control de la contaminación del agua sigue siendo una zona gris en la gestión, a pesar de la creación de autoridades de cuenca. Desde un enfoque de redes, el presente trabajo rastrea en documentos de organismos internacionales, entrevistas a funcionarios locales y miembros de organizaciones territoriales, las acepciones sobre la "gestión integrada" y la "participación" en torno a cuencas metropolitanas degradadas
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The international, interdisciplinary biodiversity research project BIOTA AFRICA initiated a standardized biodiversity monitoring network along climatic gradients across the African continent. Due to an identified lack of adequate monitoring designs, BIOTA AFRICA developed and implemented the standardized BIOTA Biodiversity Observatories, that meet the following criteria (a) enable long-term monitoring of biodiversity, potential driving factors, and relevant indicators with adequate spatial and temporal resolution, (b) facilitate comparability of data generated within different ecosystems, (c) allow integration of many disciplines, (d) allow spatial up-scaling, and (e) be applicable within a network approach. A BIOTA Observatory encompasses an area of 1 km2 and is subdivided into 100 1-ha plots. For meeting the needs of sampling of different organism groups, the hectare plot is again subdivided into standardized subplots, whose sizes follow a geometric series. To allow for different sampling intensities but at the same time to characterize the whole square kilometer, the number of hectare plots to be sampled depends on the requirements of the respective discipline. A hierarchical ranking of the hectare plots ensures that all disciplines monitor as many hectare plots jointly as possible. The BIOTA Observatory design assures repeated, multidisciplinary standardized inventories of biodiversity and its environmental drivers, including options for spatial up- and downscaling and different sampling intensities. BIOTA Observatories have been installed along climatic and landscape gradients in Morocco, West Africa, and southern Africa. In regions with varying land use, several BIOTA Observatories are situated close to each other to analyze management effects.
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This research aims to show the main points of convergence between hegemonic schools of economic and sociological theory from the Scottish Enlightenment until today. To this end, on the one hand, we set three basic families of economic thought (the mainstream, the Austrian school and Marxism); and, on the other, we divide the history of sociology in five major generations (pioneers, founders, institutionalizers, compilers and constructivist). Subsequently, we set five historical periods as reference to our respective chapters and compare, within each of them, the theoretical contributions from these two areas. Thus, in the first chapter, called "the liberal parenthesis", we consider the relationship between the classical school of economics and the pioneers and founders of sociology. In the second, entitled "the social question" we analyze, on the one hand, the theoretical consistency of both the neoclassical school, as Austrian, with the principles defended by the institutionalizers of sociology; and, on the other, the influence of Karl Marx, as founder of sociology and classical economist, in the work of Soviet revolutionary theorists. In chapter three, called the "new industrial state", we demonstrate the theoretical proximity between both Keynesianism and the Austrian school of economics, with the doctrine defended by the generation of compilers in sociology. The fourth chapter, entitled "second industrial divide", refers to the similarities between the theoretical contributions of the monetarist Chicago school and the Austrian school with sociological constructivism. Finally, chapter five, the "global market", shows that the two hegemonic schools in economics, "integrated model", and sociology, "analytical sociology", are composed of the same three schools of thought: the rational choice, the neo-institutionalism and network approach. Thus, we can conclude that, if we look at their respective areas of influence, during this historical period occurs an manifest agreement between the theoretical contributions from the economic and sociological fields.
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This paper presents results from the first use of neural networks for the real-time feedback control of high temperature plasmas in a Tokamak fusion experiment. The Tokamak is currently the principal experimental device for research into the magnetic confinement approach to controlled fusion. In the Tokamak, hydrogen plasmas, at temperatures of up to 100 Million K, are confined by strong magnetic fields. Accurate control of the position and shape of the plasma boundary requires real-time feedback control of the magnetic field structure on a time-scale of a few tens of microseconds. Software simulations have demonstrated that a neural network approach can give significantly better performance than the linear technique currently used on most Tokamak experiments. The practical application of the neural network approach requires high-speed hardware, for which a fully parallel implementation of the multi-layer perceptron, using a hybrid of digital and analogue technology, has been developed.
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The major aim of this research is benchmarking top Arab banks using Data Envelopment Analysis (DEA) technique and to compare the results with that of published recently in Mostafa (2007a,b) [Mostafa, M. M. (2007a). Modeling the efficiency of top Arab banks: A DEA–neural network approach. Expert Systems with Applications, doi:10.1016/j.eswa.2007.09.001; Mostafa M. M. (2007b), Benchmarking top Arab banks’ efficiency through efficient frontier analysis, Industrial Management & Data Systems, 107(6) 802–823]. Data for 85 Arab banks used to conduct the analysis of relative efficiency. Our findings indicate that (1) the efficiency of Arab banks reported in Mostafa (2007a,b) is incorrect, hence, readers should take extra caution of using such results, (2) the corrected efficiency scores suggest that there is potential for significant improvements in Arab banks. In summary, this study overcomes with some data and methodology issues in measuring efficiency of Arab banks and highlights the importance of encouraging increased efficiency throughout the banking industry in the Arab world using the new results.
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This thesis introduces and develops a novel real-time predictive maintenance system to estimate the machine system parameters using the motion current signature. Recently, motion current signature analysis has been addressed as an alternative to the use of sensors for monitoring internal faults of a motor. A maintenance system based upon the analysis of motion current signature avoids the need for the implementation and maintenance of expensive motion sensing technology. By developing nonlinear dynamical analysis for motion current signature, the research described in this thesis implements a novel real-time predictive maintenance system for current and future manufacturing machine systems. A crucial concept underpinning this project is that the motion current signature contains information relating to the machine system parameters and that this information can be extracted using nonlinear mapping techniques, such as neural networks. Towards this end, a proof of concept procedure is performed, which substantiates this concept. A simulation model, TuneLearn, is developed to simulate the large amount of training data required by the neural network approach. Statistical validation and verification of the model is performed to ascertain confidence in the simulated motion current signature. Validation experiment concludes that, although, the simulation model generates a good macro-dynamical mapping of the motion current signature, it fails to accurately map the micro-dynamical structure due to the lack of knowledge regarding performance of higher order and nonlinear factors, such as backlash and compliance. Failure of the simulation model to determine the micro-dynamical structure suggests the presence of nonlinearity in the motion current signature. This motivated us to perform surrogate data testing for nonlinearity in the motion current signature. Results confirm the presence of nonlinearity in the motion current signature, thereby, motivating the use of nonlinear techniques for further analysis. Outcomes of the experiment show that nonlinear noise reduction combined with the linear reverse algorithm offers precise machine system parameter estimation using the motion current signature for the implementation of the real-time predictive maintenance system. Finally, a linear reverse algorithm, BJEST, is developed and applied to the motion current signature to estimate the machine system parameters.
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This research examines the relationship between 'race' and class in Britain. This is achieved by considering how these two concepts articulate in the overall structuring of class relationships in a society which is typified by the incorporatation of black labour into a majority white society, This relationship is examined through an investigation of those black workers who occupy a position in the objectively defined middle class. The basic theme underlying this research is that 'race, in the form of structural racism, plays a significant role at two levels. Firstly, it serves to structure the class position of black labour in Britain. Secondly, it serves to determine the type of race, class and political consciousness generated by black labour. The study was carried out in the London area. Occupation was used as an indicator of 'objective' class position when selecting respondents to be included in the two survey populations required for the research. A 'network' approach was used to actually locate the respondents. In-depth interviews were carried out with all the respondents. The study concludes that the concepts of 'race' and class are not independent of each other in the overall structuring of class relationships between black and white labour. It is argued that the inter-relationship identified between these two concepts serves to highlight the fact that the structural position of black labour, the type of consciousness generated and the type of decisions taken by those who took part in the research are to a large extent a result of the structural constraints deriving from the effects of structural racism in Britain.
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* The work is partially supported by Grant no. NIP917 of the Ministry of Science and Education – Republic of Bulgaria.
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Relationships are crucial concepts in numerous management theoretical frameworks. Both stakeholder theory and IMP’s business network approach put business and non-business relations in the forefront. However, the two theories – stakeholder and business network – are seldom discussed together, and stakeholder theory rarely appears in the IMP literature. In this paper although we want to focus on supply chain relations we strive to conduct our analysis within a more general framework of stakeholder theory. In our research we observed and analyzed the mutual expectations related to various stakeholder groups – business partners (suppliers and buyers) among them.
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Climate change is one of the most important and urgent issues of our time. Since 2006, China has overtaken the United States as the world’s largest greenhouse gas (GHG) emitter. China’s role in an international climate change solution has gained increased attention. Although much literature has addressed the functioning, performance, and implications of existing climate change mitigation policies and actions in China, there is insufficient literature that illuminates how the national climate change mitigation policies have been formulated and shaped. This research utilizes the policy network approach to explore China’s climate change mitigation policy making by examining how a variety of government, business, and civil society actors have formed networks to address environmental contexts and influence the policy outcomes and changes. The study is qualitative in nature. Three cases are selected to illustrate structural and interactive features of the specific policy network settings in shaping different policy arrangements and influencing the outcomes in the Chinese context. The three cases include the regulatory evolution of China’s climate change policy making; the country’s involvement in the Clean Development Mechanism (CDM) activity, and China’s exploration of voluntary agreement through adopting the Top-1000 Industrial Energy Conservation Program. The historical analysis of the policy process uses both primary data from interviews and fieldwork, and secondary data from relevant literature. The study finds that the Chinese central government dominates domestic climate change policy making; however, expanded action networks that involve actors at all levels have emerged in correspondence to diverse climate mitigation policy arrangements. The improved openness and accessibility of climate change policy network have contributed to its proactive engagement in promoting mitigation outcomes. In conclusion, the research suggests that the policy network approach provides a useful tool for studying China’s climate change policy making process. The involvement of various types of state and non-state actors has shaped new relations and affected the policy outcomes and changes. In addition, through the cross-case analysis, the study challenges the “fragmented authoritarianism” model and argues that this once-influential model is not appropriate in explaining new development and changes of policy making processes in contemporary China.
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Valve stiction, or static friction, in control loops is a common problem in modern industrial processes. Recently, many studies have been developed to understand, reproduce and detect such problem, but quantification still remains a challenge. Since the valve position (mv) is normally unknown in an industrial process, the main challenge is to diagnose stiction knowing only the output signals of the process (pv) and the control signal (op). This paper presents an Artificial Neural Network approach in order to detect and quantify the amount of static friction using only the pv and op information. Different methods for preprocessing the training set of the neural network are presented. Those methods are based on the calculation of centroid and Fourier Transform. The proposal is validated using a simulated process and the results show a satisfactory measurement of stiction.
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This paper deals with the place of narrative, that is, storytelling, in public deliberation. A distinction is made between weak and strong conceptions of narrative. According to the weak one, storytelling is but one rhetorical device among others with which social actors produce and convey meaning. In contrast, the strong conception holds that narrative is necessary to communicate, and argue, about topics such as the human experience of time, collective identities and the moral and ethical validity of values. The upshot of this idea is that storytelling should be a necessary component of any ideal of public deliberation. Contrary to recent work by deliberative theorists, who tend to adopt the weak conception of narrative, the author argues for embracing the strong one. The main contention of this article is that stories not only have a legitimate place in deliberation, but are even necessary to formulate certain arguments in the fi rst place; for instance, arguments drawing on historical experience. This claim, namely that narrative is constitutive of certain arguments, in the sense that, without it, said reasons cannot be articulated, is illustrated by deliberative theory’s own narrative underpinnings. Finally, certain possible objections against the strong conception of narrative are dispelled.