951 resultados para GPS tracking device


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Planning policies in several European countries have aimed at hindering the expansion of out-of-town shopping centers. One argument for this is concern for the increase in transport and a resulting increase in environmental externalities such as CO2-emissions. This concern is weakly founded in science as few studies have attempted to measure CO2-emissions of shopping trips as a function of the location of the shopping centers. In this paper we conduct a counter-factual analysis comparing downtown, edge-of-town and out-of-town shopping. In this comparison we use GPS to track 250 consumers over a time-span of two months in a Swedish region. The GPS-data enters the Oguchi’s formula to obtain shopping trip-specific CO2-emissions. We find that consumers’ out-of-town shopping would generate an excess of 60 per cent CO2-emissions whereas downtown and edge-of-town shopping centers are comparable.

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Most previous studies have focused on entire trips in a geographic region, while a few of them addressed trips induced by a city landmark. Therefore paper explores trips and their CO2 emissions induced by a shopping center from a time-space perspective and their usage in relocation planning. This is conducted by the means of a case study in the city of Borlänge in mid-Sweden where trips to the city’s largest shopping mall in its center are examined. We use GPS tracking data of car trips that end and start at the shopping center. Thereafter, (1) we analyze the traffic emission patterns from a time-space perspective where temporal patterns reveal an hourly-based traffic emission dynamics and where spatial patterns uncover a heterogeneous distribution of traffic emissions in spatial areas and individual street segments. Further, (2) this study reports that most of the observed trips follow an optimal route in terms of CO2 emissions. In this respect, (3) we evaluate how well placed the current shopping center is through a comparison with two competing locations. We conclude that the two suggested locations, which are close to the current shopping center, do not show a significant improvement in term of CO2 emissions.

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Transportation is seen as one of the major sources of CO2 pollutants nowadays. The impact of increased transport in retailing should not be underestimated. Most previous studies have focused on transportation and underlying trips, in general, while very few studies have addressed the specific affects that, for instance, intra-city shopping trips generate. Furthermore, most of the existing methods used to estimate emission are based on macro-data designed to generate national or regional inventory projections. There is a lack of studies using micro-data based methods that are able to distinguish between driver behaviour and the locational effects induced by shopping trips, which is an important precondition for energy efficient urban planning. The aim of this study is to implement a micro-data method to estimate and compare CO2 emission induced by intra-urban car travelling to a retail destination of durable goods (DG), and non-durable goods (NDG). We estimate the emissions from aspects of travel behaviour and store location. The study is conducted by means of a case study in the city of Borlänge, where GPS tracking data on intra-urban car travel is collected from 250 households. We find that a behavioural change during a trip towards a CO2 optimal travelling by car has the potential to decrease emission to 36% (DG), and to 25% (NDG) of the emissions induced by car-travelling shopping trips today. There is also a potential of reducing CO2 emissions induced by intra-urban shopping trips due to poor location by 54%, and if the consumer selected the closest of 8 existing stores, the CO2 emissions would be reduced by 37% of the current emission induced by NDG shopping trips.

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Callithrix jacchus are small primates that live in cooperative reproductive family groups. They explore their home range in search of fruits, exudates and animal prey. In this study we investigate the existence of traveling routes and its relation with the feeding habits in a group of Callithrix jacchus. The group was followed for 6 months in an area of Atlantic secondary Forest at the FLONA-ICMBio of Nísia Floresta, Rio Grande do Norte. Two observers in alternated days collected data referring to the group s location using a GPS navigation device, plotting data in 5 minute intervals, and with a position accuracy under 9 meters. All behavioral recordings were done through focal time samplings. The recording windows were 15 minutes with 1 minute intervals. The main activity was foraging, which propelled the animals to explore the environment with inconsistent intensity through the months, and correlated with the location of fruits, exudates and sleeping sites. From another standpoint, most activities were focused in the core areas that featured most sleeping sites, exudates trees and fruit trees. Insects, mostly Orthopterans, were hunted in all areas. The greater ratio of movement was registered during the last hours of sunlight, when animals returned to the sleeping sites and ate a greater number of fruits. The spatial and seasonal distribution of fruits forced the animals to travel long routes. The capacity to remember the location and navigate efficiently through feeding sources is important to save energy and time costs. Learning and familiarizing with the environment through the use of landmarks and acquisition of new information is extremely important to increase the chances of survival in a constantly changing environment

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The purpose of this study is to assess the relation between the speaking space of the /s/ sound and the freeway space in two subject groups. One group had natural dentition (Group I, n = 61) and the other comprised complete denture wearers (Group II, n = 33). The analysis was done by means of a jaw-tracking device (K6-I Diagnostic System, Myotronics Research Inc., Seattle, WA, USA). Freeway space was determined by asking the subjects to occlude from the postural rest position. Speaking space of /s/ was measured during the pronunciation of the word seis and comprised the mean distance from the /s/ speaking position to maximal intercuspation. A weak correlation was found between the speaking space of /s/ and the freeway space in Group I (r = 0.41, p < 0.01), but in Group II, the correlation was stronger (r = 0.75, p < 0.01). The speaking space of /s/ and freeway space were different in Group I, but statistically similar in Group II (paired t-test, alpha = 0.05). It can be suggested that anatomic changes following prosthetic procedures caused a functional adaptation which resulted in more similar values for the speaking space of /s/ and the freeway space.

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The Cathode Strip Chambers (CSCs) constitute the primary muon tracking device in the CMS endcaps. Their performance has been evaluated using data taken during a cosmic ray run in fall 2008. Measured noise levels are low, with the number of noisy channels well below 1%. Coordinate resolution was measured for all types of chambers, and fall in the range 47μm to 243μm. The efficiencies for local charged track triggers, for hit and for segments reconstruction were measured, and are above 99%. The timing resolution per layer is approximately 5 ns. © 2010 IOP Publishing Ltd and SISSA.

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The present paper deals with numerical corrections factors proposed as a function of the clearness index in order to correct the diffuse solar irradiance measured with the Melo-Escobedo Shadowring Measuring Method (ME shadowring). The global irradiance was measured by an Eppley - PSP pyranometer ; direct normal irradiance by an Eppley-NIP pyrheliometer fitted to a ST-3 sun tracking device and the diffuse irradiance by an Eppley-PSP pyranometer fitted to a ME shadowring. The validations were performed by the MBE and RMSE statistical indicators. The results showed that the numerical correction factors were appropriate to correct the shadowring diffuse irradiance.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Image-guided, computer-assisted neurosurgery has emerged to improve localization and targeting, to provide a better anatomic definition of the surgical field, and to decrease invasiveness. Usually, in image-guided surgery, a computer displays the surgical field in a CT/MR environment, using axial, coronal or sagittal views, or even a 3D representation of the patient. Such a system forces the surgeon to look away from the surgical scene to the computer screen. Moreover, this kind of information, being pre-operative imaging, can not be modified during the operation, so it remains valid for guidance in the first stage of the surgical procedure, and mainly for rigid structures like bones. In order to solve the two constraints mentioned before, we are developing an ultrasoundguided surgical microscope. Such a system takes the advantage that surgical microscopy and ultrasound systems are already used in neurosurgery, so it does not add more complexity to the surgical procedure. We have integrated an optical tracking device in the microscope and an augmented reality overlay system with which we avoid the need to look away from the scene, providing correctly aligned surgical images with sub-millimeter accuracy. In addition to the standard CT and 3D views, we are able to track an ultrasound probe, and using a previous calibration and registration of the imaging, the image obtained is correctly projected to the overlay system, so the surgeon can always localize the target and verify the effects of the intervention. Several tests of the system have been already performed to evaluate the accuracy, and clinical experiments are currently in progress in order to validate the clinical usefulness of the system.

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This study deals with indoor positioning using GSM radio, which has the distinct advantage of wide coverage over other wireless technologies. In particular, we focus on passive localization systems that are able to achieve high localization accuracy without any prior knowledge of the indoor environment or the tracking device radio settings. In order to overcome these challenges, newly proposed localization algorithms based on the exploitation of the received signal strength (RSS) are proposed. We explore the effects of non-line-of-sight communication links, opening and closing of doors, and human mobility on RSS measurements and localization accuracy. We have implemented the proposed algorithms on top of software defined radio systems and carried out detailed empirical indoor experiments. The performance results show that the proposed solutions are accurate with average localization errors between 2.4 and 3.2 meters.

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Selectivity in encoding, aspects of attentional control and their contribution to learning performance were explored in a sample of preschoolers. While the children are performing a learning task, their encoding of relevant and attention towards irrelevant information was recorded through an eye-tracking device. Recognition of target items was used as measure of learning outcome, and individual differences in resistance to interference and inhibition of attention to task-irrelevant stimuli (i.e. distractibility) were used as measures of executive control of attention. Results indicated well-developed selectivity during encoding in young children. Recognition performance was related to selective encoding and aspects of attentional control, explaining individual differences in learning. Copyright © 2011 John Wiley & Sons, Ltd.

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Here an inertial sensor-based monitoring system for measuring and analyzing upper limb movements is presented. The final goal is the integration of this motion-tracking device within a portable rehabilitation system for brain injury patients. A set of four inertial sensors mounted on a special garment worn by the patient provides the quaternions representing the patient upper limb’s orientation in space. A kinematic model is built to estimate 3D upper limb motion for accurate therapeutic evaluation. The human upper limb is represented as a kinematic chain of rigid bodies with three joints and six degrees of freedom. Validation of the system has been performed by co-registration of movements with a commercial optoelectronic tracking system. Successful results are shown that exhibit a high correlation among signals provided by both devices and obtained at the Institut Guttmann Neurorehabilitation Hospital.

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HELLO protocol or neighborhood discovery is essential in wireless ad hoc networks. It makes the rules for nodes to claim their existence/aliveness. In the presence of node mobility, no fix optimal HELLO frequency and optimal transmission range exist to maintain accurate neighborhood tables while reducing the energy consumption and bandwidth occupation. Thus a Turnover based Frequency and transmission Power Adaptation algorithm (TFPA) is presented in this paper. The method enables nodes in mobile networks to dynamically adjust both their HELLO frequency and transmission range depending on the relative speed. In TFPA, each node monitors its neighborhood table to count new neighbors and calculate the turnover ratio. The relationship between relative speed and turnover ratio is formulated and optimal transmission range is derived according to battery consumption model to minimize the overall transmission energy. By taking advantage of the theoretical analysis, the HELLO frequency is adapted dynamically in conjunction with the transmission range to maintain accurate neighborhood table and to allow important energy savings. The algorithm is simulated and compared to other state-of-the-art algorithms. The experimental results demonstrate that the TFPA algorithm obtains high neighborhood accuracy with low HELLO frequency (at least 11% average reduction) and with the lowest energy consumption. Besides, the TFPA algorithm does not require any additional GPS-like device to estimate the relative speed for each node, hence the hardware cost is reduced.

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El Daño Cerebral Adquirido (DCA) se define como una lesión cerebral que ocurre después del nacimiento y que no guarda relación con defectos congénitos o enfermedades degenerativas. En el cerebro, se llevan a cabo las funciones mentales superiores como la atención, la memoria, las funciones ejecutivas y el lenguaje, consideradas pre-requisitos básicos de la inteligencia. Sea cual sea su causa, todo daño cerebral puede afectar a una o varias de estas funciones, de ahí la gravedad del problema. A pesar de los avances en nuevas técnicas de intervención precoz y el desarrollo de los cuidados intensivos, las afectaciones cerebrales aún no tienen tratamiento ni quirúrgico ni farmacológico que permita una restitución de las funciones perdidas. Los tratamientos de neurorrehabilitación cognitiva y funcional pretenden, por tanto, la minimización o compensación de las alteraciones ocasionadas por una lesión en el sistema nervioso. En concreto, la rehabilitación cognitiva se define como el proceso en el que personas que han sufrido un daño cerebral trabajan de manera conjunta con profesionales de la salud para remediar o aliviar los déficits cognitivos surgidos como consecuencia de un episodio neurológico. Esto se consigue gracias a la naturaleza plástica del sistema nervioso, donde el cerebro es capaz de reconfigurar sus conexiones neuronales, tanto creando nuevas como modificando las ya existentes. Durante los últimos años hemos visto una transformación de la sociedad, en lo que se ha denominado "sociedad de la información", cuyo pilar básico son las Tecnologías de la Información y las Comunicaciones (TIC). La aplicación de estas tecnologías en medicina ha revolucionado la manera en que se proveen los servicios sanitarios. Así, donde tecnología y medicina se mezclan, la telerrehabilitación se define como la rehabilitación a distancia, ayudando a extender los servicios de rehabilitación más allá de los centros hospitalarios, rompiendo las barreras geográficas, mejorando la eficiencia de los procesos y monitorizando en todo momento el estado y evolución del paciente. En este contexto, el objetivo general de la presente tesis es mejorar la rehabilitación neuropsicológica de pacientes que sufren alteraciones cognitivas, mediante el diseño, desarrollo y validación de un sistema de telemedicina que incorpora las TIC para avanzar hacia un nuevo paradigma personalizado, ubicuo y ecológico. Para conseguirlo, se han definido los siguientes objetivos específicos: • Analizar y modelar un sistema de telerrehabilitación, mediante la definición de objetivos y requisitos de usuario para diseñar las diferentes funcionalidades necesarias. • Definir una arquitectura de telerrehabilitación escalable para la prestación de diferentes servicios que agrupe las funcionalidades necesarias en módulos. • Diseñar y desarrollar la plataforma de telerrehabilitación, incluida la interfaz de usuario, creando diferentes roles de usuario con sus propias funcionalidades. • Desarrollar de un módulo de análisis de datos para extraer conocimiento basado en los resultados históricos de las sesiones de rehabilitación almacenadas en el sistema. • Evaluación de los resultados obtenidos por los pacientes después del programa de rehabilitación, obteniendo conclusiones sobre los beneficios del servicio implementado. • Evaluación técnica de la plataforma de telerrehabilitación, así como su usabilidad y la relación coste/beneficio. • Integración de un dispositivo de eye-tracking que permita la monitorización de la atención visual mientras los pacientes ejecutan tareas de neurorrehabilitación. •Diseño y desarrollo de un entorno de monitorización que permita obtener patrones de atención visual. Como resumen de los resultados obtenidos, se ha desarrollado y validado técnicamente la plataforma de telerrehabilitación cognitiva, demostrando la mejora en la eficiencia de los procesos, sin que esto resulte en una reducción de la eficacia del tratamiento. Además, se ha llevado a cabo una evaluación de la usabilidad del sistema, con muy buenos resultados. Respecto al módulo de análisis de datos, se ha diseñado y desarrollado un algoritmo que configura y planifica sesiones de rehabilitación para los pacientes, de manera automática, teniendo en cuenta las características específicas de cada paciente. Este algoritmo se ha denominado Intelligent Therapy Assistant (ITA). Los resultados obtenidos por el asistente muestran una mejora tanto en la eficiencia como en la eficacia de los procesos, comparado los resultados obtenidos con los de la planificación manual llevada a cabo por los terapeutas. Por último, se ha integrado con éxito el dispositivo de eye-tracking en la plataforma de telerrehabilitación, llevando a cabo una prueba con pacientes y sujetos control que ha demostrado la viabilidad técnica de la solución, así como la existencia de diferencias en los patrones de atención visual en pacientes con daño cerebral. ABSTRACT Acquired Brain Injury (ABI) is defined as brain damage that suddenly and unexpectedly appears in people’s life, being the main cause of disability in developed countries. The brain is responsible of the higher cognitive functions such as attention, memory, executive functions or language, which are considered basic requirements of the intelligence. Whatever its cause is, every ABI may affects one or several functions, highlighting the severity of the problem. New techniques of early intervention and the development of intensive ABI care have noticeably improved the survival rate. However, despite these advances, brain injuries still have no surgical or pharmacological treatment to re-establish lost functions. Cognitive rehabilitation is defined as a process whereby people with brain injury work together with health service professionals and others to remediate or alleviate cognitive deficits arising from a neurological insult. This is achieved by taking advantage of the plastic nature of the nervous system, where the brain can reconfigure its connections, both creating new ones, and modifying the previously existing. Neuro-rehabilitation aims to optimize the plastic nature by inducing a reorganization of the neural network, based on specific experiences. Personalized interventions from individual impairment profile will be necessary to optimize the remaining resources by potentiating adaptive responses and inhibiting maladaptive changes. In the last years, some applications and software programs have been developed to train or stimulate cognitive functions of different neuropsychological disorders, such as ABI, Alzheimer, psychiatric disorders, attention deficit or hyperactivity disorder (ADHD). The application of technologies into medicine has changed the paradigm. Telemedicine allows improving the quality of clinical services, providing better access to them and helping to break geographical barriers. Moreover, one of the main advantages of telemedicine is the possibility to extend the therapeutic processes beyond the hospital (e.g. patient's home). As a consequence, a reduction of unnecessary costs and a better costs/benefits ratio are achieved, making possible a more efficient use of the available resources In this context, the main objective of this work is to improve neuro-rehabilitation of patients suffering cognitive deficits, by designing, developing and validating a telemedicine system that incorporates ICTs to change this paradigm, making it more personalized, ubiquitous and ecologic. The following specific objectives have been defined: • To analyse and model a tele-rehabilitation system, defining objectives and user requirements to design the different needed functionalities. • To define a scalable tele-rehabilitation architecture to offer different services grouping functionalities into modules. • To design and develop the tele-rehabilitation platform, including the graphic user interface, creating different user roles and permissions. • To develop a data analysis module to extract knowledge based on the historic results from the rehabilitation sessions stored in the system. • To evaluate the obtained results by patients after the rehabilitation program, arising conclusions about the benefits of the implemented service. • To technically evaluate the tele-rehabilitation platform, and its usability and the costs/benefit ratio. • To integrate an eye-tracking device allowing the monitoring of the visual attention while patients execute rehabilitation tasks. •To design and develop a monitoring environment that allows to obtain visual attention patterns. Summarizing the obtained results, the cognitive tele-rehabilitation platform has been developed and evaluated technically, demonstrating the improvements on the efficiency without worsening the efficacy of the process. Besides, a usability evaluation has been carried out, with very good results. Regarding the data analysis module, an algorithm has been designed and developed to automatically select and configure rehabilitation sessions, taking into account the specific characteristics of each patient. This algorithm is called Intelligent Therapy Assistant (ITA). The obtained results show an improvement both in the efficiency and the efficacy of the process, comparing the results obtained by patients when they receive treatments scheduled manually by therapists. Finally, an eye-tracking device has been integrated in the tele-rehabilitation platform, carrying out a study with patients and control subjects demonstrating the technical viability of the developed monitoring environment. First results also show that there are differences between the visual attention patterns between ABI patients and control subjects.