863 resultados para Organizational Behavior and Human Resource Management
Resumo:
The following paper presents an overview of the Ph.D Thesis1 presented in [1], which compiles all the research done during the period of time between 2004-2007. In that dissertation the relay-assisted transmission with half-duplex relays is analyzed from different points of view. This study is motivated by the necessity of finding innovative solutions to cope with the requirements of next generation wireless services, and with current radio technology. The use of relayed communications represents a change of paradigm of conventional communications, and requires the definition and evaluation of protocols to be applied to single or multiple-user relay communication. With the two fold goal of enhancing spectral efficiency and homogenize service in cellular communications, system design is investigated at physical (type of transmissions of the relay, decoding mode, ..) and upper layers (resource allocation, dynamic link control).
Resumo:
La creación de conocimiento al interior de las organizaciones es visible mediante la dirección adecuada del conocimiento de los individuos, sin embargo, cada individuo debe interactuar de tal manera que forme una red o sistema de conocimiento organizacional que consolide a largo plazo las empresas en el entorno en el que se desenvuelven. Este documento revisa elementos centrales acerca de la gestión de conocimiento visto desde varios autores y perspectivas e identifica puntos clave para diseñar un modelo de gestión de conocimiento para una empresa del sector de insumos químicos para la industria farmacéutica, cosmética y de alimentos de la ciudad de Bogotá.
Resumo:
Es una lectura esencial para los profesionales del aprendizaje de adultos, estudiantes y profesionales de los recursos humanos, pues proporciona un marco teórico para la comprensión de los problemas del aprendizaje de adultos, tanto en los entornos docentes como en los lugares de trabajo. Se divide en tres partes: la primera parte estudia 'Las raíces de la andragogía', se traza el desarrollo de esta teoría y las características de los estudiantes adultos; en la segunda parte 'Los avances en el aprendizaje de adultos', se explican sus perspectivas de futuro en la investigación y la práctica y, en la última parte, 'Practica en el aprendizaje de adultos', se presentan lecturas seleccionadas que desarrollan los aspectos específicos de la andragogía en la práctica y que incluye estrategias para implementar los supuestos básicos, para adaptar el aprendizaje a las diferencias individuales, y para implementar la educación de adultos en las organizaciones. De especial interés son dos instrumentos de autoevaluación, 'the Core Competency Diagnostic and Planning Guide' y 'the Personal Adult Learning Style Inventory' que permiten al lector ponerse en camino del desarrollo personal en el aprendizaje de adultos.
Resumo:
Includes bibliography
Resumo:
This thesis presents several data processing and compression techniques capable of addressing the strict requirements of wireless sensor networks. After introducing a general overview of sensor networks, the energy problem is introduced, dividing the different energy reduction approaches according to the different subsystem they try to optimize. To manage the complexity brought by these techniques, a quick overview of the most common middlewares for WSNs is given, describing in detail SPINE2, a framework for data processing in the node environment. The focus is then shifted on the in-network aggregation techniques, used to reduce data sent by the network nodes trying to prolong the network lifetime as long as possible. Among the several techniques, the most promising approach is the Compressive Sensing (CS). To investigate this technique, a practical implementation of the algorithm is compared against a simpler aggregation scheme, deriving a mixed algorithm able to successfully reduce the power consumption. The analysis moves from compression implemented on single nodes to CS for signal ensembles, trying to exploit the correlations among sensors and nodes to improve compression and reconstruction quality. The two main techniques for signal ensembles, Distributed CS (DCS) and Kronecker CS (KCS), are introduced and compared against a common set of data gathered by real deployments. The best trade-off between reconstruction quality and power consumption is then investigated. The usage of CS is also addressed when the signal of interest is sampled at a Sub-Nyquist rate, evaluating the reconstruction performance. Finally the group sparsity CS (GS-CS) is compared to another well-known technique for reconstruction of signals from an highly sub-sampled version. These two frameworks are compared again against a real data-set and an insightful analysis of the trade-off between reconstruction quality and lifetime is given.