Public spaces where culture is co-constructed and performed by a community of people are rich sites for research on identity formation. This thesis explores the poetry slam as a space where poets and audiences co-construct and perform individual and group identities. From a social constructionist approach to identity formation and through the theories and methods of performance studies, the res...

This paper proposes a novel simultaneous localization and mapping (SLAM) approach, namely Attention-SLAM, which simulates human navigation mode by combining visual saliency model (SalNavNet) with traditional monocular SLAM. Firstly SalNavNet is proposed. In SalNavNet, we introduce correlation module propose an adaptive Exponential Moving Average (EMA) module. These modules mitigate the center b...

We show how to find and fix faults in Boolean programs by extending the program to a game. In the game, the protagonist can select an alternative implementation for an incorrect statement. If the protagonist can do so successfully using a memoryless strategy that does not depend on the stack contents, we have found a correction for the Boolean program. We present a symbolic algorithm that local...

Objectives The aim was to investigate whether the signalling lymphocyte activation molecule (SLAM) signalling pathways contribute to LN and whether SLAM receptors could be valuable biomarkers of disease activity. Methods Peripheral blood mononuclear cells from 30National Research Ethics Service SLE patients with biopsy-proven LN were analysed by flow cytometry. Clinical measures of disease ac...

Simultaneous Localization and Mapping (SLAM) is perhaps the most fundamental problem to solve in robotics in order to build truly autonomous mobile robots. The sensors have a large impact on the algorithm used for SLAM. Early SLAM approaches focused on the use of range sensors as sonar rings or lasers. However, cameras have become more and more used, because they yield a lot of information and ...

In this paper, we show that all processes associated with the move-sense-update cycle of extended Kalman filter (EKF) Simultaneous Localization and Mapping (SLAM) can be carried out in time linear with the number of map features. We describe Divide and Conquer SLAM, which is an EKF SLAM algorithm in which the computational complexity per step is reduced from O(n2 ) to O(n), and the total cost o...

Visual simultaneous localization and mapping (SLAM), based on point features, achieves high accuracy map construction. They primarily perform static features. Despite their efficiency precision, they are prone to instability even failure in complex environments. In a dynamic environment, it is easy keep track of failures work. The object elimination method, semantic segmentation, often recogniz...

Autonomous localization and navigation, as an essential research area in robotics, has a broad scope of applications various scenarios. To widen the utilization environment augment domain expertise, simultaneous mapping (SLAM) underwater environments recently become popular topic for researchers. This paper examines key SLAM technologies vehicles provides in-depth discussion on background, exis...