Global ETD Search

1	Taco Bell: prospects in Hong Kong and China :a strategic guide Ferry, Peter Christopher. January 1993 (has links) published_or_final_version / Business Administration / Master / Master of Business Administration Taco Bell (Firm) Fast food restaurants - China.
2	Gregorio Taco, cacique rebelde e idólatra (Andagua, 1748-1755) Takahashi Martínez, Yukyko Violeta 13 November 2013 (has links) Esta tesis presenta el caso de Gregorio Taco, ex - cacique de Andagua en Arequipa, poseedor de mochaderos, próspero comerciante de lanas, padrino de dos cofradías y presunto incitador al delito fiscal, denunciado por el cacique interino Carlos Tintaya y procesado por el corregidor Joseph de Arana entre 1751 y 1754. El juicio que se le siguió pertenece a los fondos documentales del Archivo Arzobispal de Arequipa y en él se presentan los testimonios de los habitantes del antiguo Condesuyos. Ésta y otras fuentes permiten conocer las prácticas y creencias de Andagua a mediados del siglo XVIII y cómo éstas fueron un medio para legitimar el desacato fiscal y las revueltas indígenas en contra de la autoridad colonial. Asimismo, se exploran las relaciones y conflictos entre los fueros civiles y eclesiásticos en un contexto de cambios, producidos por la nueva dinastía que ocupaba el trono español: los Borbones. Gregorio Taco, sus mochaderos, riqueza y prestigio en la década de 1750 demuestran que las tradiciones prehispánicas continuaron mediante un proceso dinámico de transmisión, en donde aspectos como la oralidad y el contacto con los ancestros eran elementos que afianzaban la autoridad del cacique ante el común. Estas formas tradicionales se mantuvieron, mezclaron y coexistieron con las españolas sin inconvenientes para los habitantes de la zona, hasta que los conflictos dentro del grupo subalterno llamaron la atención de las autoridades coloniales y tuvieron que redefinirse las bases del pacto social de convivencia. / Tesis Taco, Gregorio, Cacique Caciques--Perú Idolatría--Perú Andagua (Perú)--Historia--Colonia Perú--Arequipa--Historia--Colonia
3	Taco Bell : prospects in Hong Kong and China : a strategic guide / Ferry, Peter Christopher. January 1993 (has links) Thesis (M.B.A.)--University of Hong Kong, 1993. / Includes bibliographical references (leaves 76-84).
4	Gregorio Taco, cacique rebelde e idólatra (Andagua, 1748-1755) Takahashi Martínez, Yukyko Violeta 13 November 2013 (has links) Esta tesis presenta el caso de Gregorio Taco, ex - cacique de Andagua en Arequipa, poseedor de mochaderos, próspero comerciante de lanas, padrino de dos cofradías y presunto incitador al delito fiscal, denunciado por el cacique interino Carlos Tintaya y procesado por el corregidor Joseph de Arana entre 1751 y 1754. El juicio que se le siguió pertenece a los fondos documentales del Archivo Arzobispal de Arequipa y en él se presentan los testimonios de los habitantes del antiguo Condesuyos. Ésta y otras fuentes permiten conocer las prácticas y creencias de Andagua a mediados del siglo XVIII y cómo éstas fueron un medio para legitimar el desacato fiscal y las revueltas indígenas en contra de la autoridad colonial. Asimismo, se exploran las relaciones y conflictos entre los fueros civiles y eclesiásticos en un contexto de cambios, producidos por la nueva dinastía que ocupaba el trono español: los Borbones. Gregorio Taco, sus mochaderos, riqueza y prestigio en la década de 1750 demuestran que las tradiciones prehispánicas continuaron mediante un proceso dinámico de transmisión, en donde aspectos como la oralidad y el contacto con los ancestros eran elementos que afianzaban la autoridad del cacique ante el común. Estas formas tradicionales se mantuvieron, mezclaron y coexistieron con las españolas sin inconvenientes para los habitantes de la zona, hasta que los conflictos dentro del grupo subalterno llamaron la atención de las autoridades coloniales y tuvieron que redefinirse las bases del pacto social de convivencia. Taco, Gregorio, Cacique Caciques--Perú Idolatría--Perú Andagua (Perú)--Historia--Colonia Perú--Arequipa--Historia--Colonia
5	Nutritionally Focused Drive-thru Menus And The Impact On Consumer Preferences: A Study Of The Restaurant Industry Davis, Meschelle M 01 January 2012 (has links) More than one-third of the U.S. citizens (over 70 million people) and 16% of children are classified as obese and are at risk of many diseases including heart disease. Research indicates that 65% of Americans over the age of twenty years old are considered overweight. To address this public health issue, the U.S. Food & Drug Administration has proposed new nutritional guidelines for restaurant menus. Thus, the current study investigated the preferences of quick service restaurant (QSR) industry consumers with reference to the newly proposed U.S. Food and Drug Administration regulations. This study includes development and redesigning of drive thru menus to comply with the FDA guidelines. A 3x2 factorial design experiment was conducted using real drive thru menus from three major national restaurant chains. The control group consisted of normal drive thru menus obtained from national restaurant chains, and the experimental group was comprised of two sets of pre-tested experimental menus complying with the FDA guidelines. The first set of experimental menus includes presentation of calorie information for all menu items offered. The second set of experimental menus includes color coded calorie specific menu categories (low, regular and high). A set of research hypotheses were developed and data was collected from heavy users of QSR units using Qualtrics software. The collected data were analyzed using SPSS. The obtained results indicated that the QSR menus designed to comply with the FDA’s guidelines do not result in loss of revenues as commonly feared by the restaurant industry. But interestingly the second set of experiment menus with color coded nutritional categories (low, regular, high) have led to increased consumer patronage and consumers’ willingness to pay. In iv addition, color coded nutritional menus were preferred over FDA suggested menus designs. The results from the current study are of significant importance to the QSR industry as they strive to comply with the new nutrition guidelines of FDA for drive thru menus Fda menu labeling menu labeling menu nutritional labeling calories quick service restaurant menus mcdonalds arbys taco bell Tourism and Travel
6	Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison / Instanssegmentering av kategoriserat skräp samt hantering av obalanserat dataset Sievert, Rolf January 2021 (has links) Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. Land-based litter instance segmentation is a relatively unexplored field, and this study aims to give a comparison of the instance segmentation models Mask R-CNN and DetectoRS using the multiclass litter dataset called Trash Annotations in Context (TACO) in conjunction with the Common Objects in Context precision and recall scores. TACO is an imbalanced dataset, and therefore imbalanced data-handling is addressed, exercising a second-order relation iterative stratified split, and additionally oversampling when training Mask R-CNN. Mask R-CNN without oversampling resulted in a segmentation of 0.127 mAP, and with oversampling 0.163 mAP. DetectoRS achieved 0.167 segmentation mAP, and improves the segmentation mAP of small objects most noticeably, with a factor of at least 2, which is important within the litter domain since small objects such as cigarettes are overrepresented. In contrast, oversampling with Mask R-CNN does not seem to improve the general precision of small and medium objects, but only improves the detection of large objects. It is concluded that DetectoRS improves results compared to Mask R-CNN, as well does oversampling. However, using a dataset that cannot have an all-class representation for train, validation, and test splits, together with an iterative stratification that does not guarantee all-class representations, makes it hard for future works to do exact comparisons to this study. Results are therefore approximate considering using all categories since 12 categories are missing from the test set, where 4 of those were impossible to split into train, validation, and test set. Further image collection and annotation to mitigate the imbalance would most noticeably improve results since results depend on class-averaged values. Doing oversampling with DetectoRS would also help improve results. There is also the option to combine the two datasets TACO and MJU-Waste to enforce training of more categories. Machine learning Multiclass Deep learning Instance segmentation Object segmentation Iterative stratification Mask R-CNN DetectoRS Imbalanced dataset Classification Detection Segmentation Litter Trash TACO COCO MMDetection Multinomial Cybercom AI Artificial intelligence Land-based litter Computer vision Maskininlärning Djupinlärning Instanssegmentering Objektsegmentering Mask R-CNN DetectoRS Obalanserat dataset Klassificering Detektion Segmentering Skräp TACO COCO MMDetection Multinomial Cybercom AI Artificiell intelligens Datorseende

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