5,779 research outputs found

    Seeking Optimum System Settings for Physical Activity Recognition on Smartwatches

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    Physical activity recognition (PAR) using wearable devices can provide valued information regarding an individual's degree of functional ability and lifestyle. In this regards, smartphone-based physical activity recognition is a well-studied area. Research on smartwatch-based PAR, on the other hand, is still in its infancy. Through a large-scale exploratory study, this work aims to investigate the smartwatch-based PAR domain. A detailed analysis of various feature banks and classification methods are carried out to find the optimum system settings for the best performance of any smartwatch-based PAR system for both personal and impersonal models. To further validate our hypothesis for both personal (The classifier is built using the data only from one specific user) and impersonal (The classifier is built using the data from every user except the one under study) models, we tested single subject validation process for smartwatch-based activity recognition.Comment: 15 pages, 2 figures, Accepted in CVC'1

    Spin-orbit coupling in organic microcavities: lower polariton splitting, triplet polaritons and disorder induced dark states relaxation

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    Using an extended Tavis-Cummings model, we study the effect of the spin-orbit coupling between the singlet and the triplet molecular excitons in organic microcavities in the strong coupling regime. The model is solved in the single excitation space for polaritons, that contain the bright (permutation symmetric) singlet and triplet excitons, as well as the dark bands consisting of the non-symmetric excitons of either type. We find that the spin-orbit coupling splits the lower polariton into two branches, and also creates a novel triplet polariton when the cavity mode is in resonance with the triplet excitons. The optical absorption spectrum of the system that can reveal this splitting in experiments is presented and the effect of disorder in exciton energies and couplings is explored. An important consequence of the disorder in the spin-orbit coupling - a weak coupling between the otherwise decoupled bright and dark sectors - is explored and detailed calculations of the squared transition matrix elements between the dark bands and polaritons are presented along with derivation of some approximate yet quite accurate analytical expressions. This new relaxation channel for the dark states contains an interference between two transition paths that, for a given polariton state, suppresses the relaxation of one dark band and enhances it for the other.Comment: 16 pages, 10 figure

    Evaluation of Arterial Signal Coordination with Commercial Connected Vehicle Data: Empirical Traffic Flow Visualizations and Performance Measures Considering Multiple Origin-Destination Paths

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    Emerging connected vehicle (CV) data sets have recently become commercially available that enable analysts to develop a variety of powerful performance measures without a need to deploy field infrastructure. This paper presents a several tools using CV data to evaluate the quality of signal progression. These include both performance measures for high-level analysis as well as visualizations to examine details of coordinated operation. With the use of CV data, it is possible to assess not only the movement of traffic on the corridor but also to consider its origin-destination (O-D) path through the corridor, and the tools can be applied to select O-D paths or to all O-D paths in the corridor. Results for real-world operation of an eight-intersection signalized arterial are presented. A series of high-level performance measures are used to evaluate overall performance by time of day and direction, with differing results by metric. Next, the details of the operation are examined with the use of two visualization tools: a cyclic time space diagram, and an empirical platoon progression diagram. Comparing visualizations of only end-to-end journeys on the corridor with all journeys on the corridor reveals several features that are only visible with the latter. The study demonstrates the utility of CV trajectory data for obtaining high-level details as well as drilling down into the details

    Robust Heterogeneous Network to Support Multitasking

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    Due to emerging technology, efficient multitasking approach is highly demanded. But it is hard to accomplish in heterogeneous wireless networks, where diverse networks have dissimilar geometric features in service and traffic models. Multitasking loss examination based on Markov chain becomes inflexible in these networks owing to rigorous computations is obligatory. This paper emphases on the performance of heterogeneous wireless networks based on multitasking. A method based on multitasking of the interrelated traffic is used to attain an approximate performance in heterogeneous wireless networks with congested traffic. The accuracy of the robust heterogeneous network with multitasking is verified by using ns2 simulations.http://arxiv.org/abs/1309.451

    Systematic Collective e-Cheating in a Saudi Arabian Higher Education Context: A Case Study

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    Objectives: The primary purpose was to investigate organized group cheating in a Middle Eastern institution during the shift to e-learning brought on by the COVID-19 pandemic in 2019. Method: The study explores the personal experiences of ten Saudi Arabian English as a Foreign Language program graduates in a higher education institution through in-depth interviews via qualitative interpretative phenomenological analysis. The study was guided by Ajzen’s theory of planned behavior. Results: A novel type of misconduct coined systematic collective e-cheating was identified and discussed. In addition, insights on the causes and types of e-cheating in a Middle Eastern context were provided. Conclusions: Academic misconduct was directly influenced by a rapid transition to e-learning, societal culture, and subjective norms, all of which jointly contributed to shifts in ethical perceptions leading to increased reports of cheating. Objectives: The primary purpose was to investigate organized group cheating in a Middle Eastern institution during the shift to e-learning brought on by the COVID-19 pandemic in 2019. Method: The study explores the personal experiences of ten Saudi Arabian English as a Foreign Language program graduates in a higher education institution through in-depth interviews via qualitative interpretative phenomenological analysis. The study was guided by Ajzen’s theory of planned behavior. Results: A novel type of misconduct coined systematic collective e-cheating was identified and discussed. In addition, insights on the causes and types of e-cheating in a Middle Eastern context were provided. Conclusions: Academic misconduct was directly influenced by a rapid transition to e-learning, societal culture, and subjective norms, all of which jointly contributed to shifts in ethical perceptions leading to increased reports of cheating. Implication for Theory and/or Practice: Education professionals need to be aware of underlying issues related to unethical behavior and encourage students to understand and address negative ideologies regarding ethics on a societal level. Efforts must also be made to raise instructor awareness of academic misconduct in e-learning through comprehensive professional development programs. Furthermore, with the increased use of technology in education, if the social, cultural, and perceptional factors are not addressed, educational systems will be impacted, affecting the credibility and value of academic degrees should cheating become the norm

    Deep Transductive Transfer Learning for Automatic Target Recognition

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    One of the major obstacles in designing an automatic target recognition (ATR) algorithm, is that there are often labeled images in one domain (i.e., infrared source domain) but no annotated images in the other target domains (i.e., visible, SAR, LIDAR). Therefore, automatically annotating these images is essential to build a robust classifier in the target domain based on the labeled images of the source domain. Transductive transfer learning is an effective way to adapt a network to a new target domain by utilizing a pretrained ATR network in the source domain. We propose an unpaired transductive transfer learning framework where a CycleGAN model and a well-trained ATR classifier in the source domain are used to construct an ATR classifier in the target domain without having any labeled data in the target domain. We employ a CycleGAN model to transfer the mid-wave infrared (MWIR) images to visible (VIS) domain images (or visible to MWIR domain). To train the transductive CycleGAN, we optimize a cost function consisting of the adversarial, identity, cycle-consistency, and categorical cross-entropy loss for both the source and target classifiers. In this paper, we perform a detailed experimental analysis on the challenging DSIAC ATR dataset. The dataset consists of ten classes of vehicles at different poses and distances ranging from 1-5 kilometers on both the MWIR and VIS domains. In our experiment, we assume that the images in the VIS domain are the unlabeled target dataset. We first detect and crop the vehicles from the raw images and then project them into a common distance of 2 kilometers. Our proposed transductive CycleGAN achieves 71.56% accuracy in classifying the visible domain vehicles in the DSIAC ATR dataset.Comment: 10 pages, 5 figure

    Three-Dimensional Flow of a Second Grade Fluid along an Infinite Horizontal Plane Wall with Periodic Suction

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    In this paper, three-dimensional flow of a second grade fluid along a horizontal infinite plate which is subjected to a transverse sinusoidal suction velocity distribution is studied. Due to variable suction velocity distribution the flow becomes three-dimensional and for constant suction the problem becomes two-dimensional. The free stream velocity is uniform and for small perturbation approximation, analytic technique is applied to obtain the expressions for velocity field and components of skin friction. The effect of second-grade parameter, Reynolds number and suction parameter on the velocity in the direction of main flow and on the stress components is investigated with the help of graphs. The existence of backflow is observed and it is noted that the Reynolds number and suction parameter are controlling parameters for the backflow
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