936 resultados para 100Hz vision-based state estimator
As atitudes dos professores face à inclusão de alunos com deficiência : o contacto com a deficiência
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RESUMO: Actualmente as práticas de exclusão evoluíram para uma perspectiva de inclusão, assim como para a consciencialização dos direitos e deveres de cada um, como forma de dar resposta à sociedade heterogénea existente. A visão baseada nos sistemas de identificação e classificação dos sujeitos em várias categorias de deficiências era algo muito usual, mas que foi abolida, dando assim lugar ao conceito de Necessidades Educativas Especiais, com uma óptica mais abrangente, tendo em conta o contexto em que o sujeito está envolvido (Nunes, 2000). As atitudes dos professores face aos alunos com deficiência têm melhorado significativamente (Ribeiro, 1999), no entanto o processo de inclusão destas crianças no ensino regular não está isento de problemas. Neste sentido, e para que este desafio seja ultrapassado com sucesso, torna-se essencial que os professores modifiquem as suas atitudes e passem a desempenhar um papel mais activo nas suas funções, devendo para isso, começar por adaptar o currículo, e posteriormente repensar as suas estratégias e métodos de trabalho, como forma a responder às necessidades de todos os alunos (Ainscow, 1997). O objectivo principal deste estudo é verificar se o contacto com a deficiência (a nível da experiência no ensino, formação inicial e contacto na infância/juventude), por parte dos professores, influencia as suas atitudes em relação à formação necessária para a inclusão de alunos com deficiência, bem como às vantagens que esta representa para esses mesmos alunos. A amostra foi constituída por 672 professores do ensino regular, todos estão actualmente no activo e leccionam níveis de ensino do Pré-Escolar ao Ensino Secundário, de Norte a Sul do país. (N = 482 do género feminino e N =190 do género masculino). O instrumento de avaliação aplicado foi o questionário APIAD – Atitude dos Professores face à Inclusão de Alunos com Deficiência (Leitão, 2011). Concluiu-se que a experiência no ensino de alunos com deficiência influencia significativamente a atitude dos professores face à formação necessária (deficiência motora: p<0,001; deficiência auditiva: p<0,001; deficiência visual: p<0,001; deficiência mental: p=0,004) e face às vantagens da inclusão para os alunos com deficiência (deficiência motora: p=0,005; deficiência auditiva: p<0,001; deficiência visual: p<0,001; deficiência mental: p=0,022). No que se refere ao contacto com pessoas com deficiência durante a formação inicial, concluiu-se que existem diferenças significativas na atitude dos professores face às vantagens da inclusão para os alunos com deficiência (deficiência motora: p<0,001; deficiência auditiva: p<0,001; deficiência visual: p<0,001; deficiência mental: p<0,001). No entanto, no que respeita à formação, a atitude dos professores não difere, independentemente de terem tido esse contacto (deficiência motora: p=0,393; deficiência auditiva: p=0,456; deficiência visual: p=0,055; deficiência mental: p=0,342). Relativamente ao contacto com pessoas com deficiência durante a infância/juventude conclui-se que não existem diferenças na atitude dos professores em relação à formação necessária (deficiência motora: p=0,893; deficiência auditiva: p=0,667; deficiência visual: p=0,459; deficiência mental: p=0,918). Por sua vez, no que respeita às vantagens da inclusão para os alunos com deficiência, esta variável só influencia significativamente a atitude dos professores no caso da deficiência visual (deficiência motora: p=0,154; deficiência auditiva: p=0,100; deficiência visual: p=0,045; deficiência mental: p=0,149). ABSTRACT: Currently the exclusionary practices evolved to an inclusion perspective, as well as the awareness of rights and duties of each one as a way to reply to the existing heterogeneous society. The vision-based systems for identification and classification of subjects into various categories of disabilities was very unusual, but it was abolished, giving way to the concept of Special Educational Needs, with a broader perspective, considering the context in which the subject is involved (Nunes, 2000). The teachers attitude face to the students with disabilities have improved significantly (Ribeiro, 1999), however the process of inclusion of these children in regular education isn't exempt of problems. In this direction and so this challenge is exceeded successfully, it is essential that teachers change their attitudes and start to perform a more active role in their functions, and to do so, start by adapting the curriculum and then rethink their strategies and working methods, in order to meet the needs of all students (Ainscow, 1997). The main purpose of this study is to verify that the contact with the disability (educational level of experience, initial formation and contact in childhood/youth), among teachers, influences their attitudes towards the needed formation for the inclusion of students with disabilities as well as the benefits that this represents for them. The sample consisted by 672 regular educational teachers, all currently in employment and teaching from Preschool to High school, from North to South. (N = 482 females and N = 190 males). The evaluation instrument used was the survey APIAD - Teachers attitude towards the inclusion of students with disabilities (Leitão, 2011). It was concluded that the experience in teaching students with disabilities influences significantly the teachers attitude faced to the necessary formation (motor disability: p<0,001; hearing impairment: p<0,001; visual impairment: p<0,001; mental disability: p=0,004) and faced to the inclusion benefits for students with disabilities (motor disability: p=0,005; hearing impairment: p<0,001; visual impairment: p<0,001; mental disability: p=0,022).Concerning to the contact with people with disabilities during the initial formation, it was concluded that there are significant differences in the teachers attitude face to the inclusion benefits for students with disabilities (motor disability: p<0,001; hearing impairment: p<0,001; visual impairment: p<0,001; mental disability: p<0,001). In relation to the formation, the teachers attitude is the same, regardless of whether or not they have had such contact (motor disability: p=0,393; hearing impairment: p=0,456; visual impairment: p=0,055; mental disability: p=0,342). Regarding to the contact with people with disabilities during childhood/youth, it was concluded that there is no difference in the teachers attitude in relation to the formation needed (motor disability: p=0,893; hearing impairment: p=0,667; visual impairment: p=0,459; mental disability: p=0,918). On the other way, regarding to the inclusion benefits for students with disabilities, this influences significantly the teachers attitude just in the visual impairment. (motor disability: p=0,154; hearing impairment: p=0,100; visual impairment: p=0,045; mental disability: p=0,149).
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In the last few years a state-space formulation has been introduced into self-tuning control. This has not only allowed for a wider choice of possible control actions, but has also provided an insight into the theory underlying—and hidden by—that used in the polynomial description. This paper considers many of the self-tuning algorithms, both state-space and polynomial, presently in use, and by starting from first principles develops the observers which are, effectively, used in each case. At any specific time instant the state estimator can be regarded as taking one of two forms. In the first case the most recently available output measurement is excluded, and here an optimal and conditionally stable observer is obtained. In the second case the present output signal is included, and here it is shown that although the observer is once again conditionally stable, it is no longer optimal. This result is of significance, as many of the popular self-tuning controllers lie in the second, rather than first, category.
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This paper presents recent developments to a vision-based traffic surveillance system which relies extensively on the use of geometrical and scene context. Firstly, a highly parametrised 3-D model is reported, able to adopt the shape of a wide variety of different classes of vehicle (e.g. cars, vans, buses etc.), and its subsequent specialisation to a generic car class which accounts for commonly encountered types of car (including saloon, batchback and estate cars). Sample data collected from video images, by means of an interactive tool, have been subjected to principal component analysis (PCA) to define a deformable model having 6 degrees of freedom. Secondly, a new pose refinement technique using “active” models is described, able to recover both the pose of a rigid object, and the structure of a deformable model; an assessment of its performance is examined in comparison with previously reported “passive” model-based techniques in the context of traffic surveillance. The new method is more stable, and requires fewer iterations, especially when the number of free parameters increases, but shows somewhat poorer convergence. Typical applications for this work include robot surveillance and navigation tasks.
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The presence of mismatch between controller and system is considered. A novel discrete-time approach is used to investigate the migration of closed-loop poles when this mismatch occurs. Two forms of state estimator are employed giving rise to several interesting features regarding stability and performance.
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Airborne lidar provides accurate height information of objects on the earth and has been recognized as a reliable and accurate surveying tool in many applications. In particular, lidar data offer vital and significant features for urban land-cover classification, which is an important task in urban land-use studies. In this article, we present an effective approach in which lidar data fused with its co-registered images (i.e. aerial colour images containing red, green and blue (RGB) bands and near-infrared (NIR) images) and other derived features are used effectively for accurate urban land-cover classification. The proposed approach begins with an initial classification performed by the Dempster–Shafer theory of evidence with a specifically designed basic probability assignment function. It outputs two results, i.e. the initial classification and pseudo-training samples, which are selected automatically according to the combined probability masses. Second, a support vector machine (SVM)-based probability estimator is adopted to compute the class conditional probability (CCP) for each pixel from the pseudo-training samples. Finally, a Markov random field (MRF) model is established to combine spatial contextual information into the classification. In this stage, the initial classification result and the CCP are exploited. An efficient belief propagation (EBP) algorithm is developed to search for the global minimum-energy solution for the maximum a posteriori (MAP)-MRF framework in which three techniques are developed to speed up the standard belief propagation (BP) algorithm. Lidar and its co-registered data acquired by Toposys Falcon II are used in performance tests. The experimental results prove that fusing the height data and optical images is particularly suited for urban land-cover classification. There is no training sample needed in the proposed approach, and the computational cost is relatively low. An average classification accuracy of 93.63% is achieved.
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There are a range of studies based in the low carbon arena which use various ‘futures’- based techniques as ways of exploring uncertainties. These techniques range from ‘scenarios’ and ‘roadmaps’ through to ‘transitions’ and ‘pathways’ as well as ‘vision’-based techniques. The overall aim of the paper is therefore to compare and contrast these techniques to develop a simple working typology with the further objective of identifying the implications of this analysis for RETROFIT 2050. Using recent examples of city-based and energy-based studies throughout, the paper compares and contrasts these techniques and finds that the distinctions between them have often been blurred in the field of low carbon. Visions, for example, have been used in both transition theory and futures/Foresight methods, and scenarios have also been used in transition-based studies as well as futures/Foresight studies. Moreover, Foresight techniques which capture expert knowledge and map existing knowledge to develop a set of scenarios and roadmaps which can inform the development of transitions and pathways can not only help potentially overcome any ‘disconnections’ that may exist between the social and the technical lenses in which such future trajectories are mapped, but also promote a strong ‘co-evolutionary’ content.
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Wooden railway sleeper inspections in Sweden are currently performed manually by a human operator; such inspections are based on visual analysis. Machine vision based approach has been done to emulate the visual abilities of human operator to enable automation of the process. Through this process bad sleepers are identified, and a spot is marked on it with specific color (blue in the current case) on the rail so that the maintenance operators are able to identify the spot and replace the sleeper. The motive of this thesis is to help the operators to identify those sleepers which are marked by color (spots), using an “Intelligent Vehicle” which is capable of running on the track. Capturing video while running on the track and segmenting the object of interest (spot) through this vehicle; we can automate this work and minimize the human intuitions. The video acquisition process depends on camera position and source light to obtain fine brightness in acquisition, we have tested 4 different types of combinations (camera position and source light) here to record the video and test the validity of proposed method. A sequence of real time rail frames are extracted from these videos and further processing (depending upon the data acquisition process) is done to identify the spots. After identification of spot each frame is divided in to 9 regions to know the particular region where the spot lies to avoid overlapping with noise, and so on. The proposed method will generate the information regarding in which region the spot lies, based on nine regions in each frame. From the generated results we have made some classification regarding data collection techniques, efficiency, time and speed. In this report, extensive experiments using image sequences from particular camera are reported and the experiments were done using intelligent vehicle as well as test vehicle and the results shows that we have achieved 95% success in identifying the spots when we use video as it is, in other method were we can skip some frames in pre-processing to increase the speed of video but the segmentation results we reduced to 85% and the time was very less compared to previous one. This shows the validity of proposed method in identification of spots lying on wooden railway sleepers where we can compromise between time and efficiency to get the desired result.
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This paper presents a computer-vision based marker-free method for gait-impairment detection in Patients with Parkinson's disease (PWP). The system is based upon the idea that a normal human body attains equilibrium during the gait by aligning the body posture with Axis-of-Gravity (AOG) using feet as the base of support. In contrast, PWP appear to be falling forward as they are less-able to align their body with AOG due to rigid muscular tone. A normal gait exhibits periodic stride-cycles with stride-angle around 45o between the legs, whereas PWP walk with shortened stride-angle with high variability between the stride-cycles. In order to analyze Parkinsonian-gait (PG), subjects were videotaped with several gait-cycles. The subject's body was segmented using a color-segmentation method to form a silhouette. The silhouette was skeletonized for motion cues extraction. The motion cues analyzed were stride-cycles (based on the cyclic leg motion of skeleton) and posture lean (based on the angle between leaned torso of skeleton and AOG). Cosine similarity between an imaginary perfect gait pattern and the subject gait patterns produced 100% recognition rate of PG for 4 normal-controls and 3 PWP. Results suggested that the method is a promising tool to be used for PG assessment in home-environment.
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This research tried to follow up with the way of intervention that a developing State promotes it regional development, once its action departs from a quantitative conception until its acting focused in maintenance, like the strategy of local development input in the Northeastern of Brazil in the 90 s. particularly, the attention was focused onto Banco do Nordeste which, between 1995 and 2002, achieved a organization changing process to get fit itself to the new conception of development and State, that advocates the maintenance and the participation of the society in its accomplishment, becoming itself the main agent of the Federal Government in the Region. By taking over the strategy of local development, Banco do Nordeste starts, at least in speech, to be less of a bank to become more of a development agent , representing some development and hope to overcome the social and economical inequalities of the Region. The hypothesis that surrounds this essay is that this reorientation experienced at Banco do Nordeste is related to three factors: timing; the Institution of a project of international technical cooperation with PNUD; the unrest of an employees group, who used to fight for the acting increase of the Bank to beyond the credit acting; and, above all, the juncture created in Ceara from the second half of the 80 s, expressed, mainly, for the political rise of a group of businessmen, who took over and modernized the standards of public management in the State, transforming the cearense experience into reference in Brazil and the world. The research was developed from information got through the use of semi-structured interviews and documental research and, as complementary resource, field observation. The interviews were done with BNB managers between 1995 and 2003, some of them current administrators (2003-2006), plus one of CAPEF directors and the present president of AFBNB. The research revealed that strategic place taken by BNB in the period studied did not come to represent a rupture in its organizational culture, being strongly attached to factors that allows its operation. When some of these elements stopped existing, it was observed a retracing in the pattern of state intervention in the Region. This conclusion restates the vision of State that guided this thesis, identified as relationships field, of different interests; space where social conflicts are established; incarnated through the institutions
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This work deals with the development of a prototype of a helicopter quadrotor for monitoring applications in oil facilities. Anomaly detection problems can be resolved through monitoringmissions performed by a suitably instrumented quadrotor, i.e. infrared thermosensors should be embedded. The proposed monitoring system aims to reduce accidents as well as to make possible the use of non-destructive techniques for detection and location of leaks caused by corrosion. To this end, the implementation of a prototype, its stabilization and a navigation strategy have been proposed. The control strategy is based on dividing the problem into two control hierarchical levels: the lower level stabilizes the angles and the altitude of the vehicle at the desired values, while the higher one provide appropriate references signals to the lower level in order the quadrotor performs the desired movements. The navigation strategy for helicopter quadrotor is made using information provided by a acquisition image system (monocular camera) embedded onto the helicopter. Considering that the low-level control has been solved, the proposed vision-based navigation technique treats the problem as high level control strategies, such as, relative position control, trajectory generation and trajectory tracking. For the position control we use a control technique for visual servoing based on image features. The trajectory generation is done in a offline step, which is a visual trajectory composed of a sequence of images. For the trajectory tracking problem is proposed a control strategy by continuous servovision, thus enabling a navigation strategy without metric maps. Simulation and experimental results are presented to validate the proposal
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A challenge that remains in the robotics field is how to make a robot to react in real time to visual stimulus. Traditional computer vision algorithms used to overcome this problem are still very expensive taking too long when using common computer processors. Very simple algorithms like image filtering or even mathematical morphology operations may take too long. Researchers have implemented image processing algorithms in high parallelism hardware devices in order to cut down the time spent in the algorithms processing, with good results. By using hardware implemented image processing techniques and a platform oriented system that uses the Nios II Processor we propose an approach that uses the hardware processing and event based programming to simplify the vision based systems while at the same time accelerating some parts of the used algorithms
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The problem of signal tracking, in the presence of a disturbance signal in the plant, is solved using a zero-variation methodology. A state feedback controller is designed in order to minimise the H-2-norm of the closed-loop system, such that the effect of the disturbance is attenuated. Then, a state estimator is designed and the modification of the zeros is used to minimise the H-infinity-norm from the reference input signal to the error signal. The error is taken to be the difference between the reference and the output signals, thereby making it a tracking problem. The design is formulated in a linear matrix inequality framework, such that the optimal solution of the stated control problem is obtained. Practical examples illustrate the effectiveness of the proposed method.
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Flutter is an in-flight vibration of flexible structures caused by energy in the airstream absorbed by the lifting surface. This aeroelastic phenomenon is a problem of considerable interest in the aeronautic industry, because flutter is a potentially destructive instability resulting from an interaction between aerodynamic, inertial, and elastic forces. To overcome this effect, it is possible to use passive or active methodologies, but passive control adds mass to the structure and it is, therefore, undesirable. Thus, in this paper, the goal is to use linear matrix inequalities (LMIs) techniques to design an active state-feedback control to suppress flutter. Due to unmeasurable aerodynamic-lag states, one needs to use a dynamic observer. So, LMIs also were applied to design a state-estimator. The simulated model, consists of a classical flat plate in a two-dimensional flow. Two regulators were designed, the first one is a non-robust design for parametric variation and the second one is a robust control design, both designed by using LMIs. The parametric uncertainties are modeled through polytopic uncertainties. The paper concludes with numerical simulations for each controller. The open-loop and closed-loop responses are also compared and the results show the flutter suppression. The perfomance for both controllers are compared and discussed. Copyright © 2006 by ABCM.
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Includes bibliography