968 research outputs found
A New Perspective for Shuttlecock Hitting Event Detection
This article introduces a novel approach to shuttlecock hitting event
detection. Instead of depending on generic methods, we capture the hitting
action of players by reasoning over a sequence of images. To learn the features
of hitting events in a video clip, we specifically utilize a deep learning
model known as SwingNet. This model is designed to capture the relevant
characteristics and patterns associated with the act of hitting in badminton.
By training SwingNet on the provided video clips, we aim to enable the model to
accurately recognize and identify the instances of hitting events based on
their distinctive features. Furthermore, we apply the specific video processing
technique to extract the prior features from the video, which significantly
reduces the learning difficulty for the model. The proposed method not only
provides an intuitive and user-friendly approach but also presents a fresh
perspective on the task of detecting badminton hitting events. The source code
will be available at
https://github.com/TW-yuhsi/A-New-Perspective-for-Shuttlecock-Hitting-Event-Detection
Reinforcement Learning Quantum Local Search
Quantum Local Search (QLS) is a promising approach that employs small-scale
quantum computers to tackle large combinatorial optimization problems through
local search on quantum hardware, starting from an initial point. However, the
random selection of the sub-problem to solve in QLS may not be efficient. In
this study, we propose a reinforcement learning (RL) based approach to train an
agent for improved subproblem selection in QLS, beyond random selection. Our
results demonstrate that the RL agent effectively enhances the average
approximation ratio of QLS on fully-connected random Ising problems, indicating
the potential of combining RL techniques with Noisy Intermediate-scale Quantum
(NISQ) algorithms. This research opens a promising direction for integrating RL
into quantum computing to enhance the performance of optimization tasks.Comment: 5 pages, 2 figure
Semileptonic Decays of Meson to a P-Wave Charmonium State or
The semileptonic decays of meson to a P-wave charmonium state
or are computed. The results show that the decays
are sizable so they are accessible in Tevatron and in LHC, especially, with the
detectors LHCB and BTeV in the foreseeable future, and of them, the one to the
charmonium state potentially offers us a novel window to see the
unconfirmed particle. In addition, it is pointed out that since the two
charmonium radiative decays have sizable
branching ratios, the cascade decays of the concerned decays and the charmonium
radiative decays may affect the result of the observing the meson through
the semileptonic decays substantially.Comment: 8 pages, 2 figure
Development of a compact DFB laser interferometer for high-speed inline displacement measurement
A compact fiber laser interferometer, capable of precise displacement measurements, was devised using a 1550 nm DFB laser for frequency modulation up to 300 kHz. The system comprises a fiber laser, a fiber-optic interferometer, and a wavelength modulation system. The presented method offers nanometer-scale precision and incorporates a hydrogen cyanide (HCN) gas cell for monitoring the laser's central wavelength. A technique to compensate for modulation depth has been developed to maintain a consistent modulation depth over extensive measurement ranges. Preliminary trials reveal a measurement bias of less than 40 nm achieved over a 300 mm range at a speed of 100 mm/s compared to a calibrated interferometer. This approach proves beneficial for high-precision measurements for inline semiconductor manufacturing processes
Customer-centered and Technology-Enabled Homecare Service: Opportunities for Value Creation
In the advancement of society, the ability to provide quality healthcare has been increased, and the use of smart technology in the healthcare environment has been widely seen. The study uses in-depth interviews and field observation methods to collect data, aiming at understanding the perspectives and needs towards technology-enabled services. In addition, according to the results of the interviews, the user journey maps for each of the three technological solutions (smart pillbox, smart mattress, wearable device) we proposed have been drawn, and the pain points, touchpoints as well as opportunities of each role have been discussed and summarized. Lastly, the blueprint of the entire home care service has been depicted, which we expected to provide a reference for home care service providers for applying smart technologies to their homecare service models and create new value from managing their operations
The meson annihilation to leptons and inclusive light hadrons
The annihilation of the meson to leptons and inclusive light hadrons is
analyzed in the framework of nonrelativistic QCD (NRQCD) factorization. We find
that the decay mode, which escapes from the helicity suppression, contributes a
sizable fraction width. According to the analysis, the branching ratio due to
the contribution from the color-singlet component of the meson can be of
order (10^{-2}). We also estimate the contributions from the color-octet
components. With the velocity scaling rule of NRQCD, we find that the
color-octet contributions are sizable too, especially, in certain phase space
of the annihilation they are greater than (or comparative to) the color-singlet
component. A few observables relevant to the spectrum of charged lepton are
suggested, that may be used as measurements on the color-octet and
color-singlet components in the future experiments. A typical long
distance contribution in the annihilation is estimated too.Comment: 26 pages, 5 figures (6 eps-files), submitted to Phys. Rev.
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