Adaptive CPU Resource Management for Multicore Platforms

The topic of this thesis is adaptive CPU resource management for multicore platforms. The work was done as a part of the resource manager component of the adaptive resource management framework implemented in the European ACTORS project. The framework dynamically allocates CPU resources for the applications. The key element of the framework is the resource manager that combines feedforward and feedback algorithms together with reservation techniques. The reservation techniques are supported by a new Linux scheduler through hard constant bandwidth server reservations. The resource requirements of the applications are provided through service level tables. Dynamic bandwidth allocation is performed by the resource manager which adapts applications to changes in resource availability, and adapts the resource allocation to changes in application requirements. The dynamic bandwidth allocation allows to obtain real application models through the tuning and update of the initial service level table

CPU Resource Management and Noise Filtering for PID Control

The first part of the thesis deals with adaptive CPU resource management for multicore platforms. The work was done as a part of the resource manager component of the adaptive resource management framework implemented in the European ACTORS project. The framework dynamically allocates CPU resources for the applications. The key element of the framework is the resource manager that combines feedforward and feedback algorithms together with reservation techniques. The resource requirements of the applications are provided through service level tables. Dynamic bandwidth allocation is performed by the resource manager which adapts applications to changes in resource availability, and adapts the resource allocation to changes in application requirements. The dynamic bandwidth allocation allows to obtain real application models through the tuning and update of the initial service level tables. The second part of the thesis deals with the design of measurement noise filters for PID control. The design is based on an iterative approach to calculate the filter time constant, which requires the information in terms of an FOTD model of the process. Tuning methods such as Lambda, SIMC, and AMIGO are used to obtain the controller parameters. New criteria based on the trade-offs between performance, robustness, and attenuation of measurement noise are proposed for assessment of the design. Simple rules for calculating the filter time constant based on the nominal process model and the nominal controller are then derived, thus, eliminating the need for iteration. Finally, a complete tuning procedure is proposed. The tuning procedure accounts for the effects of filtering in the nominal process. Hence, the added dynamics are included in the filtered process model, which is then used to recalculate the controller tuning parameters

MASTER OF SOCIAL WORK STUDENTS\u27 PERCEIVED PREPAREDNESS TO ADDRESS MENTAL HEALTH NEEDS OF CAREGIVERS WORKING TOWARD REUNIFICATION

The purpose of this study is to assess Master of Social Work (MSW) students’ perspectives on their preparedness to identify mental health needs of caregivers that are working toward reunification. Research has established that caregivers with mental illness have children removed by the child welfare system at higher rates. In order to reunify successfully, it is critical that any mental health needs are identified to provide appropriate linkage to services. This quantitative study used a self-administered survey questionnaire with a case study vignette. MSW students have some exposure to diagnosing during their MSW program, however, the findings suggest that key factors such as area of specialization, length of experience in a mental health setting, and mental health diagnosing experience, impact how comfortable they are with diagnosing and recognizing the severity of mental health symptoms

Learning hybrid Bayesian networks using mixtures of truncated exponentials

In this paper we introduce an algorithm for learning hybrid Bayesian networks from data. The result of the algorithm is a network where the conditional distribution for each variable is a mixture of truncated exponentials (MTE), so that no restrictions on the network topology are imposed. The structure of the network is obtained by searching over the space of candidate networks using optimisation methods. The conditional densities are estimated by means of Gaussian kernel densities that afterwards are approximated by MTEs, so that the resulting network is appropriate for using standard algorithms for probabilistic reasoning. The behaviour of the proposed algorithm is tested using a set of real-world and arti cially generated databases

Violencia del crimen organizado relacionada a los sectores económicos en México. Una propuesta de categorización

La violencia ocasionada por el crimen organizado se ha constituido como uno de los principales problemas en México en los últimos años; adicionalmente a las pérdidas humanas que ocasiona, afecta a las actividades económicas, lo cual disminuye la calidad de vida de la población. En el presente documento se presenta una clasificación de las conductas violentas que el crimen organizado realiza y que afectan a los sectores económicos en México, la cual se elaboró mediante un análisis de contenido con la ayuda del software MaxQDA. La clasificación final consiste en 17 conductas, las que son descritas identificándose el sector gubernamental que resulta ser el más afectado

Comunicación activa entre padres-madres e hijos-hijas

Curso de Especial interésSe diseñó una aplicación para smartphone en sistema android con el fin de mejorar las dinámicas de comunicación existentes entre padre-madre e hijos-hijas apoyado de contenido atrayente haciendo uso de las tecnologías que ofrece el siglo XXI .Se encontró que la comunicación no es un factor relevante dentro del contexto familiar;la aplicación aún debe ser distribuida en los diferentes dispositivos y registrar los resultados de arroje lo largo del tiempo.1. RESUMEN 2. JUSTIFICACIÓN 3. MARCO TEÓRICO 4. MARCO ÉTICO 5. OBJETIVOS 6. OBJETIVO GENERAL 7. OBJETIVOS ESPECÍFICOS 8. METODOLOGÍA 9. POBLACIÓN 10. INSTRUMENTOS 11. PROCEDIMIENTO 12. RESULTADOS 13. DISCUSIÓN 14. CONCLUSIONES 15. ESTUDIO DEL MERCADO 16. REFERENCIAS 17. APÉNDICESPregradoPsicólog