Indigenous knowledges and power in friction with human rights and development discourses : the case of the Witoto Ethnic Safeguarding Plan in the Colombian Amazon

Cette thèse analyse les négociations interculturelles des Gens du Centre (groupe amazonien multi-ethnique) avec les discours universels de droits humains et de développement mobilisés par l’État colombien. L’analyse se concentre sur le Plan de sauvegarde ethnique Witoto chapitre Leticia (ESP), qui est un des 73 plans formulés et implémentés par l’État colombien pour reconnaître les droits des peuples autochtones en danger par le déplacement forcé causé par les conflits armés internes. J’analyse l’ESP à travers la notion de friction (Tsing, 2005) qui fait référence aux caractéristiques complexes, inégalitaires et changeantes des rencontres contemporaines entre les différences des savoirs locaux et globaux. Mon analyse se base aussi sur des approches foucaldiennes et/ou subalternes de pouvoir comme la recherche anticoloniale et de la décolonisation, les perspectives critiques et contre-hégémoniques des droits humains, le post-développement, et les critiques du féminisme au développement. L’objectif de la thèse est d’analyser les savoirs (concepts de loi, de justice et de développement); les logiques de pensée (pratiques, épistémologies, rôles et espaces pour partager et produire des savoirs); et les relations de pouvoir (formes de leadership, associations, réseaux, et formes d’empowerment et disempowerment) produits et recréés par les Gens du Centre au sein des frictions avec les discours de droits humains et du développement. La thèse introduit comment la région habitée par les Gens du Centre (le Milieu Amazone transfrontalier) a été historiquement connectée aux relations inégalitaires de pouvoir qui influencent les luttes actuelles de ce groupe autochtone pour la reconnaissance de leurs droits à travers l’ESP. L’analyse se base à la fois sur une recherche documentaire et sur deux terrains ethnographiques, réalisés selon une perspective critique et autoréflexive. Ma réflexion méthodologique explore comment la position des chercheurs sur le terrain influence le savoir ethnographique et peut contribuer à la création des relations interculturelles inclusives, flexibles et connectées aux besoins des groupes locaux. La section analytique se concentre sur comment le pouvoir circule simultanément à travers des échelles nationale, régionale et locale dans l’ESP. J’y analyse comment ces formes de pouvoir produisent des sujets individuels et collectifs et s’articulent à des savoirs globaux ou locaux pour donner lieu à de nouvelles formes d’exclusion ou d’émancipation des autochtones déplacés. Les résultats de la recherche suggèrent que les Gens du Centre approchent le discours des droits humains à travers leurs savoirs autochtones sur la « loi de l’origine ». Cette loi établit leur différence culturelle comme étant à la base du processus de reconnaissance de leurs droits comme peuple déplacé. D’ailleurs, les Gens du Centre approprient les discours et les projets de développement à travers la notion d’abondance qui, comprise comme une habileté collective qui connecte la spiritualité, les valeurs culturelles, et les rôles de genre, contribue à assurer l’existence physique et culturelle des groupes autochtones. Ma thèse soutient que, même si ces savoirs et logiques de pensée autochtones sont liés à des inégalités et à formes de pouvoir local, ils peuvent contribuer à des pratiques de droits humains et de développement plurielles, égalitaires et inclusives.

Reinforcement Learning Approaches to Power System Scheduling

One major component of power system operation is generation scheduling. The objective of the work is to develop efficient control strategies to the power scheduling problems through Reinforcement Learning approaches. The three important active power scheduling problems are Unit Commitment, Economic Dispatch and Automatic Generation Control. Numerical solution methods proposed for solution of power scheduling are insufficient in handling large and complex systems. Soft Computing methods like Simulated Annealing, Evolutionary Programming etc., are efficient in handling complex cost functions, but find limitation in handling stochastic data existing in a practical system. Also the learning steps are to be repeated for each load demand which increases the computation time.Reinforcement Learning (RL) is a method of learning through interactions with environment. The main advantage of this approach is it does not require a precise mathematical formulation. It can learn either by interacting with the environment or interacting with a simulation model. Several optimization and control problems have been solved through Reinforcement Learning approach. The application of Reinforcement Learning in the field of Power system has been a few. The objective is to introduce and extend Reinforcement Learning approaches for the active power scheduling problems in an implementable manner. The main objectives can be enumerated as:(i) Evolve Reinforcement Learning based solutions to the Unit Commitment Problem.(ii) Find suitable solution strategies through Reinforcement Learning approach for Economic Dispatch. (iii) Extend the Reinforcement Learning solution to Automatic Generation Control with a different perspective. (iv) Check the suitability of the scheduling solutions to one of the existing power systems.First part of the thesis is concerned with the Reinforcement Learning approach to Unit Commitment problem. Unit Commitment Problem is formulated as a multi stage decision process. Q learning solution is developed to obtain the optimwn commitment schedule. Method of state aggregation is used to formulate an efficient solution considering the minimwn up time I down time constraints. The performance of the algorithms are evaluated for different systems and compared with other stochastic methods like Genetic Algorithm.Second stage of the work is concerned with solving Economic Dispatch problem. A simple and straight forward decision making strategy is first proposed in the Learning Automata algorithm. Then to solve the scheduling task of systems with large number of generating units, the problem is formulated as a multi stage decision making task. The solution obtained is extended in order to incorporate the transmission losses in the system. To make the Reinforcement Learning solution more efficient and to handle continuous state space, a fimction approximation strategy is proposed. The performance of the developed algorithms are tested for several standard test cases. Proposed method is compared with other recent methods like Partition Approach Algorithm, Simulated Annealing etc.As the final step of implementing the active power control loops in power system, Automatic Generation Control is also taken into consideration.Reinforcement Learning has already been applied to solve Automatic Generation Control loop. The RL solution is extended to take up the approach of common frequency for all the interconnected areas, more similar to practical systems. Performance of the RL controller is also compared with that of the conventional integral controller.In order to prove the suitability of the proposed methods to practical systems, second plant ofNeyveli Thennal Power Station (NTPS IT) is taken for case study. The perfonnance of the Reinforcement Learning solution is found to be better than the other existing methods, which provide the promising step towards RL based control schemes for practical power industry.Reinforcement Learning is applied to solve the scheduling problems in the power industry and found to give satisfactory perfonnance. Proposed solution provides a scope for getting more profit as the economic schedule is obtained instantaneously. Since Reinforcement Learning method can take the stochastic cost data obtained time to time from a plant, it gives an implementable method. As a further step, with suitable methods to interface with on line data, economic scheduling can be achieved instantaneously in a generation control center. Also power scheduling of systems with different sources such as hydro, thermal etc. can be looked into and Reinforcement Learning solutions can be achieved.

Power Profile of Effective Managers: An Exploration among the Branch Managers of a Commercial Bank in Kerala

Managers are central to any fuction in a complex and developed society. Their talents are reckoned to be cardinal in developed economies and a basic yearning of all developing economies.In order to survive and produce results in a turbulent and transient environment, the task is to understand the nature of factors contributing to managerial effectiveness. This study is an attempt towards this core issue of the present from a different perspective. This study tries to focus attention on a group of managers functioning in the field of banking, a core sector in the country's economy. The gamut of economic activities in Kerala being predominantly service-oriented, importance of commercial banking is almost indisputable. Though economists would argue that the disproportionate development of service sector is anomalous when viewed against the hazy scenarios in the primary and secondary sectors of the state’s economy, the extent and pace of growth in the banking sector has had its dole meted out by ambitious and productive managers fiinctioning in the field. Researcher’s attempt here is to thresh the grain and chaff among bank managers in terms of their effectiveness and to account for the variations in the light of their ability to affect the thoughts and actions of their subordinates. To put it succinctly, the attempt herein is to explain the effectiveness of bank managers in the light of their ‘Power Profile’ taken to be comprising Power Differentials, Power Bases, their Visibility and Credibility in the organisation and, the Power Styles typically used by them for influencing subordinates.

Large-Size AlGaN/GaN HEMT Large-Signal Electrothermal Characterization and Modeling for Wireless Digital Communications

The rapid growth in high data rate communication systems has introduced new high spectral efficient modulation techniques and standards such as LTE-A (long term evolution-advanced) for 4G (4th generation) systems. These techniques have provided a broader bandwidth but introduced high peak-to-average power ratio (PAR) problem at the high power amplifier (HPA) level of the communication system base transceiver station (BTS). To avoid spectral spreading due to high PAR, stringent requirement on linearity is needed which brings the HPA to operate at large back-off power at the expense of power efficiency. Consequently, high power devices are fundamental in HPAs for high linearity and efficiency. Recent development in wide bandgap power devices, in particular AlGaN/GaN HEMT, has offered higher power level with superior linearity-efficiency trade-off in microwaves communication. For cost-effective HPA design to production cycle, rigorous computer aided design (CAD) AlGaN/GaN HEMT models are essential to reflect real response with increasing power level and channel temperature. Therefore, large-size AlGaN/GaN HEMT large-signal electrothermal modeling procedure is proposed. The HEMT structure analysis, characterization, data processing, model extraction and model implementation phases have been covered in this thesis including trapping and self-heating dispersion accounting for nonlinear drain current collapse. The small-signal model is extracted using the 22-element modeling procedure developed in our department. The intrinsic large-signal model is deeply investigated in conjunction with linearity prediction. The accuracy of the nonlinear drain current has been enhanced through several issues such as trapping and self-heating characterization. Also, the HEMT structure thermal profile has been investigated and corresponding thermal resistance has been extracted through thermal simulation and chuck-controlled temperature pulsed I(V) and static DC measurements. Higher-order equivalent thermal model is extracted and implemented in the HEMT large-signal model to accurately estimate instantaneous channel temperature. Moreover, trapping and self-heating transients has been characterized through transient measurements. The obtained time constants are represented by equivalent sub-circuits and integrated in the nonlinear drain current implementation to account for complex communication signals dynamic prediction. The obtained verification of this table-based large-size large-signal electrothermal model implementation has illustrated high accuracy in terms of output power, gain, efficiency and nonlinearity prediction with respect to standard large-signal test signals.

C. Wright Mils revisited: Society and Power

C. Wright Mills has been forgotten by sociological theories however there is no doubt about how much he contributed to the field of Epistemology. He successfully participated in the American Sociology of Knowledge and, at the same time, he  upheld the tradition of the Conflict Theory, including the sociological dimension into one of the most questioned political subjects of his period. Undoubtedly,  Wright Mills was morally committed to the value of reason and freedom. His central issue was to analyse the real possibilities for a particular individual within  a particular social order to become a free man capable of reasoning. He wondered how someone could be able to transcend his daily nature through reason and  experience and to act accordingly to his power. The power and political processes were constant in his works, since he claimed that any political process was a  struggle for power and prestige, for authoritative positions, both within each nation  and among the different states. On the other hand, he  bserved that the social  structure in the United States of America was not completely democratic, since the  course of action depended on the decision of a small group of wealthy, powerful individuals. These concentrating spaces of power amongst some economic, military  and political corporations were supported by their underlying ideology, a fact that became clearer when referring to international affairs. Nowadays, in a world of  structural antagonisms, wars and rebellions, the need for looking at the work  of intellectuals like Mills re-emerges. Mills showed us a way in which a complex entity as power can be understood, and, at the same time, the need to consider the  course of history, its mechanics and process.

La política exterior turca en el marco del Complejo de Seguridad Regional de Medio Oriente. Del soft power al smart power. (2002 - 2013)

Dada la confluencia de Turquía en Asia, Medio Oriente, los Balcanes y Europa, el gobierno está en la necesidad de responder a los desafíos de ser un Estado pivote. Es en este punto donde su política exterior se convierte en la mayor herramienta para sobresalir y sobrevivir en un ambiente heterogéneo. El objetivo de esta monografía de grado es analizar la política exterior turca en el marco del Complejo de Seguridad Regional de Medio Oriente a partir de los aportes de la Escuela de Copenhague y su Teoría de los Complejos de Seguridad Regional, para comprender sus estrategias de soft y hard power en su política exterior a fin de analizar si se consolidó un smart power que permita posicionar a Turquía en una potencia regional.

The community museum: a space for the exercise of communal power

This paper discusses two key elements in the field of museums: a summary of the concept of the community museum, on the one hand, and, on the other, a proposal as to how this concept is put into practice, especially in the early stages of the creation of the museum, when the social basis for the project is being established. We will discuss how the community museum combines and integrates complex processes aimed at strengthening the community as a collective subject, asserting its identity, improving its quality of life and building alliances between communities. In the second part, which has a methodological focus, we will discuss how the museum is born out of community aspirations to strengthen its identity and integrity, the initial process of consensus-building, the roles of different agents, both internal and external to the community, as well as some factors that foster or prevent community appropriation. To conclude we will emphasize the potential of community museum networks as a strategy to generate a broader field of action, in which communities can exercise greater autonomy, by collectively developing and appropriating projects of regional and even international scope.

Power distribution network design aided by an expert system

The next couple of years will see the need for replacement of a large amount of life-expired switchgear on the UK 11 kV distribution system. Latest technology and alternative equipment have made the choice of replacement a complex task. The authors present an expert system as an aid to the decision process for the design of the 11 kV power distribution network.

Modeling of complex-valued Wiener systems using B-spline neural network

In this brief, a new complex-valued B-spline neural network is introduced in order to model the complex-valued Wiener system using observational input/output data. The complex-valued nonlinear static function in the Wiener system is represented using the tensor product from two univariate B-spline neural networks, using the real and imaginary parts of the system input. Following the use of a simple least squares parameter initialization scheme, the Gauss-Newton algorithm is applied for the parameter estimation, which incorporates the De Boor algorithm, including both the B-spline curve and the first-order derivatives recursion. Numerical examples, including a nonlinear high-power amplifier model in communication systems, are used to demonstrate the efficacy of the proposed approaches.

A Wiener model for memory high power amplifiers using B-spline function approximation

In this paper we introduce a new Wiener system modeling approach for memory high power amplifiers in communication systems using observational input/output data. By assuming that the nonlinearity in the Wiener model is mainly dependent on the input signal amplitude, the complex valued nonlinear static function is represented by two real valued B-spline curves, one for the amplitude distortion and another for the phase shift, respectively. The Gauss-Newton algorithm is applied for the parameter estimation, which incorporates the De Boor algorithm, including both the B-spline curve and the first order derivatives recursion. An illustrative example is utilized to demonstrate the efficacy of the proposed approach.

Modelling and inverting complex-valued Wiener systems

We develop a complex-valued (CV) B-spline neural network approach for efficient identification and inversion of CV Wiener systems. The CV nonlinear static function in the Wiener system is represented using the tensor product of two univariate B-spline neural networks. With the aid of a least squares parameter initialisation, the Gauss-Newton algorithm effectively estimates the model parameters that include the CV linear dynamic model coefficients and B-spline neural network weights. The identification algorithm naturally incorporates the efficient De Boor algorithm with both the B-spline curve and first order derivative recursions. An accurate inverse of the CV Wiener system is then obtained, in which the inverse of the CV nonlinear static function of the Wiener system is calculated efficiently using the Gaussian-Newton algorithm based on the estimated B-spline neural network model, with the aid of the De Boor recursions. The effectiveness of our approach for identification and inversion of CV Wiener systems is demonstrated using the application of digital predistorter design for high power amplifiers with memory

Political economy of state-building: power after peace

The purpose of this volume is to examine and evaluate the impact of international state-building interventions on the political economy of post-conflict countries over the last 20 years. It analyses how international interventions have shaped political and economic dynamics and structures – both formal and informal – and what kind of state, and what kind of state-society relations have been created as a result, through three different lenses: first, through the approaches taken by different international actors like the UN, the International Financial Institutions, or the European Union, to state-building; second, through detailed analysis of key state-building policies; and third, through a wide range of country case studies. Amongst the recurring themes that are highlighted by the book’s focus on the political economy of state-building, and that help to explain why international state-building interventions have tended to fall short of the visions of interveners and local populations alike are evidence of important continuities between war-time and “post-conflict” economies and authority structures, which are often consolidated as a consequence of international involvement; tensions arising from what are often the competing interests and values held by different interveners and local actors; and, finally, the continuing salience of economic and political violence in state-building processes and war-to-peace transitions. The book aims to offer a more nuanced understanding of the complex impact of state-building practices on post-conflict societies, and of the political economy of post-conflict state-building.

Power allocation strategies for distributed space-time codes in two-way relay networks

We study a two-way relay network (TWRN), where distributed space-time codes are constructed across multiple relay terminals in an amplify-and-forward mode. Each relay transmits a scaled linear combination of its received symbols and their conjugates,with the scaling factor chosen based on automatic gain control. We consider equal power allocation (EPA) across the relays, as well as the optimal power allocation (OPA) strategy given access to instantaneous channel state information (CSI). For EPA, we derive an upper bound on the pairwise-error-probability (PEP), from which we prove that full diversity is achieved in TWRNs. This result is in contrast to one-way relay networks, in which case a maximum diversity order of only unity can be obtained. When instantaneous CSI is available at the relays, we show that the OPA which minimizes the conditional PEP of the worse link can be cast as a generalized linear fractional program, which can be solved efficiently using the Dinkelback-type procedure.We also prove that, if the sum-power of the relay terminals is constrained, then the OPA will activate at most two relays.

Instantaneous gelation in Smoluchowski’s coagulation equation revisited

We study the solutions of the Smoluchowski coagulation equation with a regularization term which removes clusters from the system when their mass exceeds a specified cutoff size, M. We focus primarily on collision kernels which would exhibit an instantaneous gelation transition in the absence of any regularization. Numerical simulations demonstrate that for such kernels with monodisperse initial data, the regularized gelation time decreasesas M increases, consistent with the expectation that the gelation time is zero in the unregularized system. This decrease appears to be a logarithmically slow function of M, indicating that instantaneously gelling kernels may still be justifiable as physical models despite the fact that they are highly singular in the absence of a cutoff. We also study the case when a source of monomers is introduced in the regularized system. In this case a stationary state is reached. We present a complete analytic description of this regularized stationary state for the model kernel, K(m1,m2)=max{m1,m2}ν, which gels instantaneously when M→∞ if ν>1. The stationary cluster size distribution decays as a stretched exponential for small cluster sizes and crosses over to a power law decay with exponent ν for large cluster sizes. The total particle density in the stationary state slowly vanishes as [(ν−1)logM]−1/2 when M→∞. The approach to the stationary state is nontrivial: Oscillations about the stationary state emerge from the interplay between the monomer injection and the cutoff, M, which decay very slowly when M is large. A quantitative analysis of these oscillations is provided for the addition model which describes the situation in which clusters can only grow by absorbing monomers.