48 research outputs found
An Empirical Study of Hotel Online Booking in O to O Commerce
Many studies have postulated the reasons for the development of the O2O business though the research of the customers’ behavioral intention is relatively unexplored. This study selects the travel industry as the research context to investigate online-offline integration between hotels and online travel agencies (OTAs). To investigate customers’ behavioral intention, this study establishes an integrated model of information systems success model and customer loyalty. The research focuses on whether customer loyalty (e.g., satisfaction and trust) can increase the booking intention, and the factors of increasing satisfaction and trust. According to the analyzed results, satisfaction directly influences customers’ booking intention while trust directly and indirectly influences customer booking intention through satisfaction. For antecedents, system quality and service quality have a significant impact on satisfaction, while brand image and size have a significant impact on trust. These findings have implications for OTAs to attract customers to book hotels through their websites
Switching Behavior to Cloud Enterprise Information Systems in China
Cloud computing has recently become a popular information technology in China. Several China’s enterprises tend to move from client/server enterprise information systems (EISs) to cloud EISs. However, few studies have addressed the switching issues. This study aims to investigate factors that affect switching behavior from client/server EISs to cloud EISs. The research model draws from technology-organization-environment framework. We collected data from top managers and owners of China’s enterprises to analyze six hypotheses. The results show that technological context (perceived security and compatibility), and environmental context (supplier support and consultant support) significantly influence switching behavior. The findings are useful for understanding switching issues from client/server EISs to cloud EISs
Human Motion Generation: A Survey
Human motion generation aims to generate natural human pose sequences and
shows immense potential for real-world applications. Substantial progress has
been made recently in motion data collection technologies and generation
methods, laying the foundation for increasing interest in human motion
generation. Most research within this field focuses on generating human motions
based on conditional signals, such as text, audio, and scene contexts. While
significant advancements have been made in recent years, the task continues to
pose challenges due to the intricate nature of human motion and its implicit
relationship with conditional signals. In this survey, we present a
comprehensive literature review of human motion generation, which, to the best
of our knowledge, is the first of its kind in this field. We begin by
introducing the background of human motion and generative models, followed by
an examination of representative methods for three mainstream sub-tasks:
text-conditioned, audio-conditioned, and scene-conditioned human motion
generation. Additionally, we provide an overview of common datasets and
evaluation metrics. Lastly, we discuss open problems and outline potential
future research directions. We hope that this survey could provide the
community with a comprehensive glimpse of this rapidly evolving field and
inspire novel ideas that address the outstanding challenges.Comment: 20 pages, 5 figure
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Verifiable key-aggregate searchable encryption with a designated server in multi-owner setting
Key-aggregate searchable encryption (KASE) schemes support selective data sharing and keyword-based ciphertext searching by using the constant-size shared key and trapdoor, making these schemes attractive for resource-constrained users to store, share, and search encrypted data in public clouds. However, most previously proposed KASE schemes suffer from our proposed "off-line keyword guessing attack (KGA)" and some other weaknesses. Consequently, they fail to gain the keyword ciphertext indistinguishability and trapdoor indistinguishability, which are vital security goals of searchable encryption. Inspired by the relationship of public key encryption with keyword search (PEKS) and KASE, we design a new KASE scheme called key-aggregate searchable encryption with a designated server (dKASE). The dKASE scheme achieves our proposed keyword ciphertext indistinguishability against chosen keyword attack (KC-IND-CKA) and keyword trapdoor indistinguishability against keyword guessing attack (KT-IND-KGA) security models, where the latter model captures off-line KGA. Then, we extend the dKASE scheme to verifiable dKASE in multi-owner setting (dVKASEM) scheme. With dVKASEM, when multiple data owners authorize a user to access data, the user merely needs to store his single key and generate a single trapdoor to query these owners’ data. Besides, the adoption of the aggregate signature significantly reduces the overhead of verifying whether data has been tampered with. Performance analysis illustrates that our schemes are efficient
Performance analysis for OFDM-based multi-carrier continuous-variable quantum key distribution with arbitrary modulation protocol
Multi-carrier continuous-variable quantum key distribution (CV-QKD) is
considered to be a promising way to boost the secret key rate (SKR) over the
existing single-carrier CV-QKD scheme. However, the extra excess noise induced
in the imperfect multi-carrier quantum state preparation process of N
subcarriers will limit the performance of the system. Here, a systematic
modulation noise model is proposed for the multi-carrier CV-QKD based on the
orthogonal frequency division multiplexing (OFDM). Subsequently, the
performance of multi-carrier CV-QKD with arbitrary modulation protocol (e.g.
QPSK, 256QAM and Gaussian modulation protocol) can be quantitatively evaluated
by combining the security analysis method of the single-carrier CV-QKD. Under
practical system parameters, the simulation results show that the SKR of the
multi-carrier CV-QKD can still be significantly improved by increasing the
carrier number N even with imperfect practical modulations. Specifically, the
total SKR of multi-carrier CV-QKD can be optimized by carefully choosing N. The
proposed model provides a feasible theoretical framework for the future
multi-carrier CV-QKD experimental implementation.Comment: 15 pages, 14 figure
Type-A quasi-periodic oscillation in the black hole transient MAXI J1348-630
We present a detailed analysis of the spectral and timing characteristics of a 7-Hz type-A quasi-periodic oscillation (QPO) detected in NICER observations of the black hole X-ray binary MAXI J1348-630 during its high-soft state. The QPO is broad and weak, with an integrated fractional rms amplitude of 0.9 per cent in the 0.5-10 keV band. Thanks to the large effective area of NICER, combined with the high flux of the source and a relatively long accumulative exposure time, we construct the first rms and phase-lag spectra for a type-A QPO. Our analysis reveals that the fractional rms amplitude of the QPO increases with energy from below 1 per cent at 1 keV to ∼3 per cent at 6 keV. The shape of the QPO spectrum is similar to that of the Comptonized component, suggesting that the Comptonized region is driving the variability. The phase lags at the QPO frequency are always soft taking the lowest energy as reference. By jointly fitting the time-averaged spectrum of the source and the rms and phase-lag spectra of the QPO with the time-dependent Comptonization model vkompthdk, we find that the radiative properties of the type-A QPO can be explained by a vertically extended Comptonized region with a size of ∼2300 km.</p
Type-A quasi-periodic oscillation in the black hole transient MAXI J1348-630
We present a detailed analysis of the spectral and timing characteristics of
a 7-Hz type-A quasi-periodic oscillation (QPO) detected in NICER observations
of the black hole X-ray binary MAXI J1348-630 during its high-soft state. The
QPO is broad and weak, with an integrated fractional rms amplitude of 0.9 per
cent in the 0.5-10 keV band. Thanks to the large effective area of NICER,
combined with the high flux of the source and a relatively long accumulative
exposure time, we construct the first rms and phase-lag spectra for a type-A
QPO. Our analysis reveals that the fractional rms amplitude of the QPO
increases with energy from below 1 per cent at 1 keV to 3 per cent at 6 keV.
The shape of the QPO spectrum is similar to that of the Comptonised component,
suggesting that the Comptonised region is driving the variability. The phase
lags at the QPO frequency are always soft taking the lowest energy as
reference. By jointly fitting the time-averaged spectrum of the source and the
rms and phase-lag spectra of the QPO with the time-dependent Comptonisation
model vkompthdk, we find that the radiative properties of the type-A QPO can be
explained by a vertically extended Comptonised region with a size of 2300 km.Comment: 7 pages, 5 figures, accepted for publication in MNRA
The mHz quasi-regular modulations of 4U 1630--47 during its 1998 outburst
We present the results of a detailed timing and spectral analysis of the
quasi-regular modulation (QRM) phenomenon in the black hole X-ray binary 4U
1630--47 during its 1998 outburst observed by Rossi X-ray Timing Explore
(RXTE). We find that the 50-110 mHz QRM is flux dependent, and the QRM
is detected with simultaneous low frequency quasi-periodic oscillations
(LFQPOs). According to the behavior of the power density spectrum, we divide
the observations into four groups. In the first group, namely behavior A,
LFQPOs are detected, but no mHz QRM. The second group, namely behavior B, a QRM
with frequency above 88 mHz is detected and the 5 Hz and 7
Hz LFQPOs are almost overlapping. In the third group, namely behavior C, the
QRM frequency below 88 mHz is detected and the LFQPOs are significantly
separated. In the forth group, namely behavior D, neither QRM nor LFQPOs are
detected. We study the energy-dependence of the fractional rms, centroid
frequency, and phase-lag of QRM and LFQPOs for behavior B and C. We then study
the evolution of QRM and find that the frequency of QRM increases with
hardness, while its rms decreases with hardness. We also analyze the spectra of
each observation, and find that the QRM rms of behavior B has a positive
correlation with / . Finally, we give
our understanding for this mHz QRM phenomena.Comment: 14pages, 15 figure
The evolution of the corona in MAXI J1535-571 through type-C quasi-periodic oscillations with Insight-HXMT
Type-C quasi-periodic oscillations (QPOs) in black hole X-ray transients can
appear when the source is in the low-hard and hard-intermediate states. The
spectral-timing evolution of the type-C QPO in MAXI J1535-571 has been recently
studied with Insight-HXMT. Here we fit simultaneously the time-averaged energy
spectrum, using a relativistic reflection model, and the fractional rms and
phase-lag spectra of the type-C QPOs, using a recently developed time-dependent
Comptonization model when the source was in the intermediate state. We show,
for the first time, that the time-dependent Comptonization model can
successfully explain the X-ray data up to 100 keV. We find that in the
hard-intermediate state the frequency of the type-C QPO decreases from 2.6 Hz
to 2.1 Hz, then increases to 3.3 Hz, and finally increases to ~ 9 Hz.
Simultaneously with this, the evolution of corona size and the feedback
fraction (the fraction of photons up-scattered in the corona that return to the
disc) indicates the change of the morphology of the corona. Comparing with
contemporaneous radio observations, this evolution suggests a possible
connection between the corona and the jet when the system is in the
hard-intermediate state and about to transit into the soft-intermediate state.Comment: 11 pages, 6 figures, accepted for publication in MNRA