An Open-End winding IM drive with Multilevel 12-sided Polygonal Vectors with Symmetric Triangles

Multilevel inverters with hexagonal voltage space vector structures have improved performance of induction motor drives compared to that of the two level inverters. Further reduction in the torque ripple on the motor shaft is possible by using multilevel dodecagonal (12-sided polygon) voltage space vector structures. The advantages of dodecagonal voltage space vector based PWM techniques are the complete elimination of fifth and seventh harmonics in phase voltages for the full modulation range and the extension of linear modulation range. This paper proposes an inverter circuit topology capable of generating multilevel dodecagonal voltage space vectors with symmetric triangles, by cascading two asymmetric three level inverters with isolated H-Bridges. This is made possible by proper selection of DC link voltages and the selection of resultant switching states for the inverters. In this paper, a simple PWM timing calculation method is proposed. Experimental results have also been presented in this paper to validate the proposed concept.

Load Balancing with Availability Checker and Load Reporters (LB-ACLRs) for improved Performance in Distributed Systems

Distributed system has quite a lot of servers to attain increased availability of service and for fault tolerance. Balancing the load among these servers is an important task to achieve better performance. There are various hardware and software based load balancing solutions available. However there is always an overhead on Servers and the Load Balancer while communicating with each other and sharing their availability and the current load status information. Load balancer is always busy in listening to clients' request and redirecting them. It also needs to collect the servers' availability status frequently, to keep itself up-to-date. Servers are busy in not only providing service to clients but also sharing their current load information with load balancing algorithms. In this paper we have proposed and discussed the concept and system model for software based load balancer along with Availability-Checker and Load Reporters (LB-ACLRs) which reduces the overhead on server and the load balancer. We have also described the architectural components with their roles and responsibilities. We have presented a detailed analysis to show how our proposed Availability Checker significantly increases the performance of the system.

A Bacterial Foraging Optimization and Learning Automata Based Feature Selection for Motor Imagery EEG Classification

Selection of relevant features is an open problem in Brain-computer interfacing (BCI) research. Sometimes, features extracted from brain signals are high dimensional which in turn affects the accuracy of the classifier. Selection of the most relevant features improves the performance of the classifier and reduces the computational cost of the system. In this study, we have used a combination of Bacterial Foraging Optimization and Learning Automata to determine the best subset of features from a given motor imagery electroencephalography (EEG) based BCI dataset. Here, we have employed Discrete Wavelet Transform to obtain a high dimensional feature set and classified it by Distance Likelihood Ratio Test. Our proposed feature selector produced an accuracy of 80.291% in 216 seconds.

Dictionary-Learning-Based Post-Filter for HMM-Based Speech Synthesis

Oversmoothing of speech parameter trajectories is one of the causes for quality degradation of HMM-based speech synthesis. Various methods have been proposed to overcome this effect, the most recent ones being global variance (GV) and modulation-spectrum-based post-filter (MSPF). However, there is still a significant quality gap between natural and synthesized speech. In this paper, we propose a two-fold post-filtering technique to alleviate to a certain extent the oversmoothing of spectral and excitation parameter trajectories of HMM-based speech synthesis. For the spectral parameters, we propose a sparse coding-based post-filter to match the trajectories of synthetic speech to that of natural speech, and for the excitation trajectory, we introduce a perceptually motivated post-filter. Experimental evaluations show quality improvement compared with existing methods.

An efficient design of serial and parallel memory using Quantum dot cellular automata

Quantum cellular automata (QCA) is a new technology in the nanometer scale and has been considered as one of the alternative to CMOS technology. In this paper, we describe the design and layout of a serial memory and parallel memory, showing the layout of individual memory cells. Assuming that we can fabricate cells which are separated by 10nm, memory capacities of over 1.6 Gbit/cm2 can be achieved. Simulations on the proposed memories were carried out using QCADesigner, a layout and simulation tool for QCA. During the design, we have tried to reduce the number of cells as well as to reduce the area which is found to be 86.16sq mm and 0.12 nm2 area with the QCA based memory cell. We have also achieved an increase in efficiency by 40%.These circuits are the building block of nano processors and provide us to understand the nano devices of the future.

SPEECH ENHANCEMENT USING DISCRIMINATIVE RANDOM FIELDS

Speech enhancement in stationary noise is addressed using the ideal channel selection framework. In order to estimate the binary mask, we propose to classify each time-frequency (T-F) bin of the noisy signal as speech or noise using Discriminative Random Fields (DRF). The DRF function contains two terms - an enhancement function and a smoothing term. On each T-F bin, we propose to use an enhancement function based on likelihood ratio test for speech presence, while Ising model is used as smoothing function for spectro-temporal continuity in the estimated binary mask. The effect of the smoothing function over successive iterations is found to reduce musical noise as opposed to using only enhancement function. The binary mask is inferred from the noisy signal using Iterated Conditional Modes (ICM) algorithm. Sentences from NOIZEUS corpus are evaluated from 0 dB to 15 dB Signal to Noise Ratio (SNR) in 4 kinds of additive noise settings: additive white Gaussian noise, car noise, street noise and pink noise. The reconstructed speech using the proposed technique is evaluated in terms of average segmental SNR, Perceptual Evaluation of Speech Quality (PESQ) and Mean opinion Score (MOS).

Selection of Optimal Time-to-go in Generalized Vector Explicit Guidance

A new method of selection of time-to-go (t(go)) for Generalized Vector Explicit Guidance (GENEX) law have been proposed in this paper. t(go) is known to be an important parameter in the control and cost function of GENEX guidance law. In this paper the formulation has been done to find an optimal value of t(go) that minimizes the performance cost. Mechanization of GENEX with this optimal t(go) reduces the lateral acceleration demand and consequently increases the range of the interceptor. This new formulation of computing t(go) comes in closed form and thus it can be implemented onboard. This new formulation is applied in the terminal phase of an surface-to-air interceptor for an angle constrained engagement. Results generated by simulation justify the use of optimal t(go).

Inverse Polynomial Based Explicit Guidance for Lunar Soft Landing During Powered Braking

In this paper an explicit guidance law for the powered descent phase of the soft lunar landing is presented. The descent trajectory, expressed in polynomial form is fixed based on the boundary conditions imposed by the precise soft landing mission. Adapting an inverse model based approach, the guidance command is computed from the known spacecraft trajectory. The guidance formulation ensures the vertical orientation of the spacecraft during touchdown. Also a closed form relation for the final flight time is proposed. The final time is expressed as a function of initial position and velocity of the spacecraft ( at the start of descent) and also depends on the desired landing site. To ensure the fuel minimum descent the proposed explicit method is extended to optimal guidance formulation. The effectiveness of the proposed guidance laws are demonstrated with simulation results.

Fuel-optimal G-MPSP Guidance for Powered Descent Phase of Soft Lunar Landing

A fuel optimal nonlinear sub-optimal guidance scheme is presented in this paper for soft landing of a lunar craft during the powered descent phase. The recently developed Generalized Model Predictive Static Programming (G-MPSP) is used to compute the required magnitude and angle of the thrust vector. Both terminal position and velocity vector are imposed as hard constraints, which ensures high position accuracy and facilitates initiation of vertical descent at the end of the powered descent phase. A key feature of the G-MPSP algorithm is that it converts the nonlinear dynamic programming problem into a low-dimensional static optimization problem (of the same dimension as the output vector). The control history update is done in closed form after computing a time-varying weighting matrix through a backward integration process. This feature makes the algorithm computationally efficient, which makes it suitable for on-board applications. The effectiveness of the proposed guidance algorithm is demonstrated through promising simulation results.

A Nonlinear Guidance Law for Impact Time Control

This paper discusses the problem of impact time control of an interceptor against a stationary target. A nonlinear guidance law is proposed with the interceptor heading angle variation as a function of the range to target. Closed-form expressions for the design parameters are derived for an exact analysis of the impact time. A feedback form of the guidance law is presented for addressing realistic implementation in the presence of autopilot lag. Using the closed-form expressions of the impact time, a cooperative guidance scheme is presented for simultaneous impact in a salvo attack. Extensive simulation studies are presented validating the analytic findings.

Política y religión en la ayuda social del peronismo

Resumen: La laicidad de las instituciones de ayuda social durante el peronismo, pretende ser revisada, a partir de las características de los hogares de tránsito de la Fundación Eva Perón. Se ha hecho hincapié en la entrega o facilitación de bienes materiales pero poco o nada se ha dicho, de la labor netamente religiosa que se llevó adelante en ellos y de la impronta moral que tuvieron estas instituciones. Este trabajo propone repensar algunos aspectos y capturar algunos matices de la relación entre el peronismo y la Iglesia Católica. También, describir y analizar la manera en que se impartió la actividad religiosa en la institución benefactora por excelencia del gobierno, la FEP.

Del sueño cartesiano a la muerte encefálica

Resumen: Entre el sueño y la muerte hay “sólo una distancia”. El dormir encierra un misterio que se aviva con los sueños y, al parecer, habrían prefigurado al mismo método científico moderno. Descartes pensó que en sus sueños se transmitía el espíritu de la verdad. El alma soñadora e inmortal adquirió notoriedad en su dualismo, al tiempo que dejó de asociársela con la muerte. Tres siglos después, la medicina permitió identificar individuos que estaban muertos, aunque pareciesen dormidos (coma dépassé). Así reapareció la asociación sueño-muerte, pero ahora con médicos provistos del “diagnóstico anátomo-clínico” que, por su herencia cartesiana, demandará evidencias. La duda metódica integrada al pensamiento científico, aportaría incertidumbre a las formulaciones cerebrales de la muerte. Este trabajo repasa el valor de los sueños para el pensamiento occidental, busca al “hombre-máquina” dentro de los criterios neurológicos del fallecido y, con la ayuda de la Filosofía, intenta comprender algunas objeciones en torno a la licitud del diagnóstico de “muerte encefálica”. Se propone una revisión sucinta de la obra del filósofo francés y su reflejo en aspectos del debate ofrecido por la literatura médica.

Derecho natural y ciencia jurídica : consideraciones sobre la ciencia del derecho como ciencia práctica

Resumen: En el trabajo se aborda la vexata quaestio de la cientificidad de la ciencia jurídica, a la que se le impugna la pretensión de ser científica y, a la vez, práctica. Se estudian las impugnaciones realizadas en ese sentido por Claude Lévi-Strauss y Hans Albert, así como los intentos de algunos filósofos del derecho analíticos de superarla a través del análisis lógico del lenguaje jurídico. Se analizan después los cuestionamientos efectuados por algunos representantes de la filosofía hermenéutica, que critican los ensayos analíticos y proponen una concepción interpretativa de la ciencia jurídica. Luego de esta exposición, el A. evalúa las aportaciones analíticas y hermenéuticas, poniendo de relieve sus fortalezas y sus falencias a la hora de establecer el estatuto científico de la ciencia jurídica, para pasar finalmente a proponer una concepción de la ciencia del derecho heredera de la tradición de la filosofía práctica de cuño aristotélico. En este punto, el A. desarrolla —con base en el pensamiento de Tomás de Aquino— una concepción analógica del conocimiento científico y explica de qué modo es posible aplicarla a un saber acerca del derecho que resulte, a la vez, científico y práctico. Finalmente, desenvuelve la necesidad epistémica de una apertura del conocimiento de la ciencia jurídica a los primeros principios prácticos, que la vincula constitutivamente a la doctrina de la ley natural, así como al nivel máximamente determinado de la prudencia jurídica.

El premio de la plata y la devaluación del vellón en Guipúzcoa en el siglo XVII

[ES]El presente artículo analiza la evolución del premio de la plata durante el siglo XVII en Guipúzcoa, donde aparecen dos modelos de comportamiento, siempre en relación con la abundancia y movimiento de la plata, que es el principal factor que explica las variaciones del premio. Se constata, no obstante, que en cada localidad los premios son diferentes, lo que demuestra cierta autonomía de las economías locales de Antiguo Régimen. Así mismo, hay que decir que las mayores repercusiones de este fenómeno se dejaron sentir en los mercados y en las transacciones locales, afectando principalmente a los consumidores. De todas formas, se demuestra la necesidad de seguir realizando investigaciones en los diferentes territorios que formaban la Corona, y desterrar definitivamente la generalización de datos como los de Hamilton.

Recreational anglers' valuation of near-shore marine fisheries in Florida

This report describes and summarizes the results from a state-wide survey of Florida resident saltwater anglers. The survey was designed to provide estimates of the economic value anglers place on marginal changes in management of selected near-shore marine species. The Contingent valuation method was used to elicit angler willingness to pay for changes in management for redfish, seatrout , mullet, sheepshead, pompano. and king mackerel. Contingent valuation is a process in which respondents are presented with a detailed scenario that describes an opportunity to express their willingness to pay for a proposed change in current conditions. The process consists of three parts. First. the change in current conditions, or the "good" to be valued is described. Second, the payment method is described. The payment method is usually closely related to typical methods of buying goods similar to the one to be valued. Finally. the respondent is asked how much they would pay for the good described in the scenario. A special saltwater fishing license stamp that would allow the holder to take advantage of the described management change was used as a payment mechanism. (PDF contains 147 pages.)