5,841 research outputs found
Seeking Optimum System Settings for Physical Activity Recognition on Smartwatches
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
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
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
Deep Transductive Transfer Learning for Automatic Target Recognition
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
Robust Heterogeneous Network to Support Multitasking
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
Three-Dimensional Flow of a Second Grade Fluid along an Infinite Horizontal Plane Wall with Periodic Suction
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
Systematic Collective e-Cheating in a Saudi Arabian Higher Education Context: A Case Study
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
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