Design and Development of a Frame Based MT System for English-to-ISL

This paper presents the design and development of a frame based approach for speech to sign language machine translation system in the domain of railways and banking. This work aims to utilize the capability of Artificial intelligence for the improvement of physically challenged, deaf-mute people. Our work concentrates on the sign language used by the deaf community of Indian subcontinent which is called Indian Sign Language (ISL). Input to the system is the clerk’s speech and the output of this system is a 3D virtual human character playing the signs for the uttered phrases. The system builds up 3D animation from pre-recorded motion capture data. Our work proposes to build a Malayalam to ISL

Prototype of a Configurable Web-Based Assessment System

The MIT Prototype Educational Assessment System provides subjects and courses at MIT with the ability to perform online assessment. The system includes polices to handle harassment and electronic "flaming" while protecting privacy. Within these frameworks, individual courses and subjects can make their own policy decisions about such matters as to when assessments can occur, who can submit assessments, and how anonymous assessments are. By allowing assessment to take place continually and allowing both students and staff to participate, the system can provide a forum for the online discussion of subjects. Even in the case of scheduled assessments, the system can provide advantages over end-of-term assessment, since the scheduled assessments can occur several times during the semester, allowing subjects to identify and adjust those areas that could use improvement. Subjects can also develop customized questionnaires, perhaps in response to previous assessments, to suit their needs.

Towards a real-time vision-based navigation system for a small-class UUV

This paper deals with the problem of navigation for an unmanned underwater vehicle (UUV) through image mosaicking. It represents a first step towards a real-time vision-based navigation system for a small-class low-cost UUV. We propose a navigation system composed by: (i) an image mosaicking module which provides velocity estimates; and (ii) an extended Kalman filter based on the hydrodynamic equation of motion, previously identified for this particular UUV. The obtained system is able to estimate the position and velocity of the robot. Moreover, it is able to deal with visual occlusions that usually appear when the sea bottom does not have enough visual features to solve the correspondence problem in a certain area of the trajectory

Evaluation of the effectiveness of an organization in the field of brand perception using a computer agent-based simulation system

Este proyecto de investigación busca usar un sistema de cómputo basado en modelación por agentes para medir la percepción de marca de una organización en una población heterogénea. Se espera proporcionar información que permita dar soluciones a una organización acerca del comportamiento de sus consumidores y la asociada percepción de marca. El propósito de este sistema es el de modelar el proceso de percepción-razonamiento-acción para simular un proceso de razonamiento como el resultado de una acumulación de percepciones que resultan en las acciones del consumidor. Este resultado definirá la aceptación de marca o el rechazo del consumidor hacia la empresa. Se realizó un proceso de recolección información acerca de una organización específica en el campo de marketing. Después de compilar y procesar la información obtenida de la empresa, el análisis de la percepción de marca es aplicado mediante procesos de simulación. Los resultados del experimento son emitidos a la organización mediante un informe basado en conclusiones y recomendaciones a nivel de marketing para mejorar la percepción de marca por parte de los consumidores.

School-based service system : un sistema de servicios basado en los centros educativos.

Investigar in situ el movimiento actual de los school-based service system (SBSS), esto es, analizar los nuevos enfoques norteamericanos que están conduciendo a una extensión del rol de los centros de Educación Primaria y Secundaria, que los constituyen en una base de operaciones para proporcionar servicios relacionados con el ámbito educativo a los niños y adolescentes de cada colectividad. Sistematizar los parámetros que definen esta forma de organización de los centros escolares. El objeto del trabajo es analizar la innovación del diseño y desarrollo de los SBSS. La investigación se ha llevado a cabo en el entorno de la intervención, recogiendo datos en organismos especializados de la administración educativa norteamericana y en distritos escolares. Se ha optado por una metodología de carácter cualitativo basada en procedimientos multidireccionales. El análisis de los datos representaba cierta complejidad analítica, ya que había que comparar las unidades primarias que se habían obtenido a través de varias líneas de búsqueda empírica. Por ello, se ha seguido una metodología de reflexión en la acción, basada fundamentalmente en el análisis de las percepciones de los distintos profesionales. Ha sido preciso combinar 4 niveles de datos: 1. Las interpretaciones y valoraciones de la administración educativa en los ámbitos estatal, condal y local. 2. Las interpretaciones y valoraciones de los agentes directos. 3. El punto de vista de los usuarios. Y 4. Las interpretaciones y valoraciones de las observaciones realizadas directamente por la investigadora. 1. Entrevistas semiestructuradas a : expertos de las administraciones, agentes directivos y participantes. 2. Análisis documental. En primer lugar, el análisis de los datos ha conducido a la identificación de 3 modelos: 1. Sistema de referencia externa. 2. Sistema de respuesta rápida. 3. Sistema de servicios basado en los centros educativos. En segundo lugar, el modelo SBSS constituye un sistema de renovación de los centros educativos por el cual éstos se instauran en el elemento catalizador de un mayor número de actividades no tradicionales dirigidas a los alumnos. Es el inicio del desarrollo de un modelo global que se centra en proporcionar progresivamente a todos los alumnos distintas modalidades de apoyo educativo. En tercer lugar, se ha llegado a una sistematización del modelo de SBSS a través de la determinación de las siguientes variables: 1. Premisas. 2. Objetivos. 3. Zonas prioritarias. 4. Características. 5. Componentes. 6. Estrategia de implementación. 7. Financiación. 8. Encuadre de las actividades. 8.1. Infraestructura física. 8.2. Temporalización, 8.3. Composición del equipo de profesionales. 8.4. El rol de los profesores. 9. Tipos de actuación. 10. Coordinación de los servicios. 11. Factores que determinan su eficacia. 12. Dificultades para su desarrollo. 13. La perspectiva usuarios-agentes. 14. Evaluación. Finalmente, se han deducido una serie de consideraciones sobre la aplicabilidad del SBSS, concluyéndose en la necesidad de implementar un enfoque comprensivo de este tipo, como estrategia para superar la segmentación funcional de las instituciones.

Turbo channel estimation and equalisation for a superposition-based cooperative system

This study investigates the superposition-based cooperative transmission system. In this system, a key point is for the relay node to detect data transmitted from the source node. This issued was less considered in the existing literature as the channel is usually assumed to be flat fading and a priori known. In practice, however, the channel is not only a priori unknown but subject to frequency selective fading. Channel estimation is thus necessary. Of particular interest is the channel estimation at the relay node which imposes extra requirement for the system resources. The authors propose a novel turbo least-square channel estimator by exploring the superposition structure of the transmission data. The proposed channel estimator not only requires no pilot symbols but also has significantly better performance than the classic approach. The soft-in-soft-out minimum mean square error (MMSE) equaliser is also re-derived to match the superimposed data structure. Finally computer simulation results are shown to verify the proposed algorithm.

Unified framework for construction of rule based classification systems

Automatic generation of classification rules has been an increasingly popular technique in commercial applications such as Big Data analytics, rule based expert systems and decision making systems. However, a principal problem that arises with most methods for generation of classification rules is the overfit-ting of training data. When Big Data is dealt with, this may result in the generation of a large number of complex rules. This may not only increase computational cost but also lower the accuracy in predicting further unseen instances. This has led to the necessity of developing pruning methods for the simplification of rules. In addition, classification rules are used further to make predictions after the completion of their generation. As efficiency is concerned, it is expected to find the first rule that fires as soon as possible by searching through a rule set. Thus a suit-able structure is required to represent the rule set effectively. In this chapter, the authors introduce a unified framework for construction of rule based classification systems consisting of three operations on Big Data: rule generation, rule simplification and rule representation. The authors also review some existing methods and techniques used for each of the three operations and highlight their limitations. They introduce some novel methods and techniques developed by them recently. These methods and techniques are also discussed in comparison to existing ones with respect to efficient processing of Big Data.

Computationally efficient rule-based classification for continuous streaming data

Advances in hardware and software technologies allow to capture streaming data. The area of Data Stream Mining (DSM) is concerned with the analysis of these vast amounts of data as it is generated in real-time. Data stream classification is one of the most important DSM techniques allowing to classify previously unseen data instances. Different to traditional classifiers for static data, data stream classifiers need to adapt to concept changes (concept drift) in the stream in real-time in order to reflect the most recent concept in the data as accurately as possible. A recent addition to the data stream classifier toolbox is eRules which induces and updates a set of expressive rules that can easily be interpreted by humans. However, like most rule-based data stream classifiers, eRules exhibits a poor computational performance when confronted with continuous attributes. In this work, we propose an approach to deal with continuous data effectively and accurately in rule-based classifiers by using the Gaussian distribution as heuristic for building rule terms on continuous attributes. We show on the example of eRules that incorporating our method for continuous attributes indeed speeds up the real-time rule induction process while maintaining a similar level of accuracy compared with the original eRules classifier. We termed this new version of eRules with our approach G-eRules.

TNF-alpha mediated transport of NF-kappaB to the nucleus is independent of the cytoskeleton-based transport system in non-neuronal cells

In unstimulated cells, proteins of the nuclear factor kappaB (NF-kappaB) transcription factor family are sequestered in the cytoplasm through interactions with IkappaB inhibitor proteins. Tumor necrosis factor alpha (TNF-alpha) activates the degradation of IkappaB-alpha and the nuclear import of cytoplasmic NF-kappaB. Nuclear localization of numerous cellular proteins is mediated by the ability of the cytoskeleton, usually microtubules, to direct their perinuclear accumulation. In a former study we have shown that activated NF-kappaB rapidly moves from distal processes in neurons towards the nucleus. The fast transport rate suggests the involvement of motor proteins in the transport of NF-kappaB. Here we address the question how NF-kappaB arrives at the nuclear membrane before import in non-neuronal cells, i.e., by diffusion alone or with the help of active transport mechanisms. Using confocal microscopy imaging and analysis of nuclear protein extracts, we show that NF-kappaB movement through the cytoplasm to the nucleus is independent of the cytoskeleton, in the three cell lines investigated here. Additionally we demonstrate that NF-kappaB p65 is not associated with the dynein/dynactin molecular motor complex. We propose that cells utilize two distinct mechanisms of NF-kappaB transport: (1) signaling via diffusion over short distances in non-neuronal cells and (2) transport via motor proteins that move along the cytoskeleton in neuronal processes where the distances between sites of NF-kappaB activation and nucleus can be vast.

A skill-based reporting system for parents of young hearing-impaired children

This paper reviews a skill-based reporting system for parents of young hearing impaired children.