932 resultados para Clothes shop


Relevância:

20.00% 20.00%

Publicador:

Resumo:

Abstract not available

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Abstract not available

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Abstract not available

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Abstract not available

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Abstract not available

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Abstract not available

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Abstract not available

Relevância:

20.00% 20.00%

Publicador:

Resumo:

ABSTRACT Artificial immune system can be used to generate schedules in changing environments and it has been proven to be more robust than schedules developed using a genetic algorithm. Good schedules can be produced especially when the number of the antigens is increased. However, an increase in the range of the antigens had somehow affected the fitness of the immune system. In this research, we are trying to improve the result of the system by rescheduling the same problem using the same method while at the same time maintaining the robustness of the schedules.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Previous research has shown that artificial immune systems can be used to produce robust schedules in a manufacturing environment. The main goal is to develop building blocks (antibodies) of partial schedules that can be used to construct backup solutions (antigens) when disturbances occur during production. The building blocks are created based upon underpinning ideas from artificial immune systems and evolved using a genetic algorithm (Phase I). Each partial schedule (antibody) is assigned a fitness value and the best partial schedules are selected to be converted into complete schedules (antigens). We further investigate whether simulated annealing and the great deluge algorithm can improve the results when hybridised with our artificial immune system (Phase II). We use ten fixed solutions as our target and measure how well we cover these specific scenarios.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

ABSTRACT Artificial immune system can be used to generate schedules in changing environments and it has been proven to be more robust than schedules developed using a genetic algorithm. Good schedules can be produced especially when the number of the antigens is increased. However, an increase in the range of the antigens had somehow affected the fitness of the immune system. In this research, we are trying to improve the result of the system by rescheduling the same problem using the same method while at the same time maintaining the robustness of the schedules.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

This thesis proposes a generic visual perception architecture for robotic clothes perception and manipulation. This proposed architecture is fully integrated with a stereo vision system and a dual-arm robot and is able to perform a number of autonomous laundering tasks. Clothes perception and manipulation is a novel research topic in robotics and has experienced rapid development in recent years. Compared to the task of perceiving and manipulating rigid objects, clothes perception and manipulation poses a greater challenge. This can be attributed to two reasons: firstly, deformable clothing requires precise (high-acuity) visual perception and dexterous manipulation; secondly, as clothing approximates a non-rigid 2-manifold in 3-space, that can adopt a quasi-infinite configuration space, the potential variability in the appearance of clothing items makes them difficult to understand, identify uniquely, and interact with by machine. From an applications perspective, and as part of EU CloPeMa project, the integrated visual perception architecture refines a pre-existing clothing manipulation pipeline by completing pre-wash clothes (category) sorting (using single-shot or interactive perception for garment categorisation and manipulation) and post-wash dual-arm flattening. To the best of the author’s knowledge, as investigated in this thesis, the autonomous clothing perception and manipulation solutions presented here were first proposed and reported by the author. All of the reported robot demonstrations in this work follow a perception-manipulation method- ology where visual and tactile feedback (in the form of surface wrinkledness captured by the high accuracy depth sensor i.e. CloPeMa stereo head or the predictive confidence modelled by Gaussian Processing) serve as the halting criteria in the flattening and sorting tasks, respectively. From scientific perspective, the proposed visual perception architecture addresses the above challenges by parsing and grouping 3D clothing configurations hierarchically from low-level curvatures, through mid-level surface shape representations (providing topological descriptions and 3D texture representations), to high-level semantic structures and statistical descriptions. A range of visual features such as Shape Index, Surface Topologies Analysis and Local Binary Patterns have been adapted within this work to parse clothing surfaces and textures and several novel features have been devised, including B-Spline Patches with Locality-Constrained Linear coding, and Topology Spatial Distance to describe and quantify generic landmarks (wrinkles and folds). The essence of this proposed architecture comprises 3D generic surface parsing and interpretation, which is critical to underpinning a number of laundering tasks and has the potential to be extended to other rigid and non-rigid object perception and manipulation tasks. The experimental results presented in this thesis demonstrate that: firstly, the proposed grasp- ing approach achieves on-average 84.7% accuracy; secondly, the proposed flattening approach is able to flatten towels, t-shirts and pants (shorts) within 9 iterations on-average; thirdly, the proposed clothes recognition pipeline can recognise clothes categories from highly wrinkled configurations and advances the state-of-the-art by 36% in terms of classification accuracy, achieving an 83.2% true-positive classification rate when discriminating between five categories of clothes; finally the Gaussian Process based interactive perception approach exhibits a substantial improvement over single-shot perception. Accordingly, this thesis has advanced the state-of-the-art of robot clothes perception and manipulation.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Introducción. Los trabajadores de los talleres de reparación de automóviles conviven diariamente con la exposición a los solventes orgánicos, exposición que se convierte en un riesgo para su salud que generalmente en el corto plazo se presenta como déficits de concentración, memoria y tiempo de reacción y en el largo plazo produciendo graves repercusiones clínicas como efectos mutagénicos y carcinogénicos. Objetivo. Caracterizar las condiciones higiénicas y de seguridad de trabajadores ocupacionalmente expuestos a solventes orgánicos y determinar los niveles ambientales de benceno, tolueno y xileno (BTX) en talleres de lámina y pintura automotriz de la ciudad de Bogotá. Materiales y métodos. Se hizo un estudio de corte transversal en 60 trabajadores que laboran expuestos a solventes orgánicos en talleres de reparación automotriz en Bogotá. Se realizó una encuesta con variables sociodemográficas, laborales y se determinaron los niveles en aire de benceno, tolueno y xileno. Para los muestreos ambientales, las bombas se colocaron en una posición fija representativa del ambiente general, con el objeto de conocer la distribución de los solventes en el área de trabajo. Se realizó un análisis descriptivo por conteos de frecuencia, medidas de tendencia central y dispersión. Se utilizó prueba de bondad de ajuste para distribución normal (Kolmogorov-Smirnov o Shapiro Wilk), prueba t Student para comparación de medias, o en su defecto prueba U de Mann Whitney para comparación de medianas. Para identificar la relación entre las características sociodemográficas y ocupacionales con la exposición a BTX, se utilizaron pruebas de asociación Chi cuadrado o análisis de correlación según la naturaleza de las variables. El nivel de significancia para cada prueba fue 0.05. Resultados. La edad promedio de los trabajadores fue de 43 años y un tiempo total de exposición a solventes de 20 años. Respecto al uso de protección corporal, 45 (75%) de los trabajadores manifestaron que usaban uniforme, mientras que 14 (23,3%) usaban ropa de calle durante la jornada laboral. El 46,7% manifestaron usar protección respiratoria. La concentración de benceno en aire fue entre 0,1 y 0,45 mg/l (mediana de 0,31 mg/l; DE 0,13 mg/l); la de tolueno estuvo entre 8,25 y 27,22 mg/l (mediana de 14,5 mg/l; DE 6.99 mg/l) y la de xileno entre 19,34 y 150,15 mg/l (mediana de 70,12 mg/l; DE 40,82 mg/l). Conclusión. Los pintores de automóviles están expuestos a niveles elevados de solventes en los lugares de trabajo y no cuentan con condiciones de higiene y seguridad industrial adecuados. Un gran número de pintores son informales lo que les impide el acceso a los beneficios del Sistema de Seguridad Social Integral.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Universidade Estadual de Campinas. Faculdade de Educação Física