A5100337289- Pulsars and Gravitational Waves Research
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
- Geophysics and Gravity Measurements
- Cosmology and Gravitation Theories
- High-pressure geophysics and materials
- Geophysics and Sensor Technology
- Semiconductor materials and devices
- Advancements in Semiconductor Devices and Circuit Design
- Quantum Chromodynamics and Particle Interactions
- Seismic Waves and Analysis
- High-Energy Particle Collisions Research
- 3D IC and TSV technologies
- Low-power high-performance VLSI design
- Astrophysics and Cosmic Phenomena
- Stock Market Forecasting Methods
- Atomic and Subatomic Physics Research
- Nuclear physics research studies
- Particle physics theoretical and experimental studies
- Electronic Packaging and Soldering Technologies
- Computational Physics and Python Applications
- Advanced Frequency and Time Standards
- Cold Atom Physics and Bose-Einstein Condensates
- Meteorological Phenomena and Simulations
- Wildlife Ecology and Conservation
Ulsan National Institute of Science and Technology
2013-2024
Texas Tech University
2021-2024
Korea Astronomy and Space Science Institute
2024
Myongji University
2024
Pusan National University
2011-2020
Soonchunhyang University
2020
Korean Institute of Footwear and Leather Technology
2020
Missouri University of Science and Technology
2016-2019
Seoul National University
2017-2018
Texas A&M University
2018
The sensitivity of searches for astrophysical transients in data from the LIGO is generally limited by presence transient, non-Gaussian noise artifacts, which occur at a high-enough rate such that accidental coincidence across multiple detectors non-negligible. Furthermore, artifacts typically dominate over background contributed stationary noise. These "glitches" can easily be confused transient gravitational-wave signals, and their robust identification removal will help any search...
KAGRA is a gravitational-wave (GW) detector constructed in Japan with two unique key features: It was underground, and the test-mass mirrors are cooled to cryogenic temperatures. These features not included other kilometer-scale detectors but will be adopted future such as Einstein Telescope. performed its first joint observation run GEO600 2020. In this observation, sensitivity of GWs inferior that LIGO Virgo. However, further upgrades ongoing reach for detecting next run, which scheduled...
KAGRA is a second-generation interferometric gravitational-wave detector with 3-km arms constructed at Kamioka, Gifu in Japan. It now its final installation phase, which we call bKAGRA (baseline KAGRA), scientific observations expected to begin late 2019. One of the advantages underground location least 200 m below ground surface, brings small seismic motion low frequencies and high stability detector. Another advantage that it cools down sapphire test mass mirrors cryogenic temperatures...
Abstract KAGRA, the kilometer-scale underground gravitational-wave detector, is located at Kamioka, Japan. In April 2020, an astrophysics observation was performed KAGRA detector in combination with GEO 600 detector; this operation called O3GK. The optical configuration O3GK based on a power-recycled Fabry–Pérot–Michelson interferometer; all mirrors were set room temperature. duty factor of approximately 53%, and displacement sensitivity 1 × 10−18 ${\rm m}/\sqrt{\rm {Hz}}$ 250 Hz....
The general purpose of stock price prediction is to help analysts design a strategy increase returns. We present the conceptual framework an emotion-based system (ESPS) focused on considering multidimensional emotions individual investors. To implement and evaluate proposed ESPS, emotion indicators (EIs) are generated using term frequency–inverse document frequency (etf−iedf), which modifies (tf−idf). Stock predicted deep neural network (DNN). compare performance sentiment analysis naïve...
Background: The properties of very neutron rich nuclear systems are largely determined by the density dependence symmetry energy. Korea-IBS-Daegu-SKKU (KIDS) framework for equation state (EoS) and energy functional (EDF) offers possibility to explore symmetry-energy parameters such as $J$ (value at saturation density), $L$ (slope saturation), ${K}_{\mathrm{sym}}$ (curvature higher-order ones independently each other assumptions about in-medium effective mass, previously shown in cases...
We use an event-by-event hydrodynamical description of the heavy-ion collision process with Glauber initial conditions to calculate thermal emission photons. The photon rates in hadronic phase follow from a spectral function approach and density expansion, while partonic they Arnold-Moore-Yaffe (AMY) perturbative rates. calculated elliptic flows are lower than those reported recently by both ALICE PHENIX collaborations.
We investigate the constraints on mass and radius of neutron stars by considering tidal deformability in merge star binaries. employ models based Skyrme force density-functional theory select that are consistent with empirical data finite nuclei, measured properties nuclear matter around saturation density, observation maximum stars. From selected models, we calculate Love number ${k}_{2}$, dimensionless $\mathrm{\ensuremath{\Lambda}}$, mass-weighted $\stackrel{\ifmmode \tilde{}\else...
In this paper, we implement the SHA-256 FPGA hardware module for security protocol of IEEE 1609.2 vehicle communication (VC). VC requires high-throughput and low-latency architectures. For fast efficient design, exploit parallel structures preprocessing hash computation in SHA-256. The proposed design is im- plemented Vertex-5 verified correct operation. As a result, can achieve up to 179.08 MHz with 2796 slices.
In the framework of KIDS generalized energy density functional (EDF), nuclear equation state (EoS) is expressed as an expansion in powers Fermi momentum or cubic root ($\rho^{1/3}$). Although optimal number converging terms was obtained specific cases fits to empirical data and pseudodata, degree convergence remains be examined not only for homogeneous matter but also finite nuclei. One goal present work validate minimal EoS parameters required description over a wide range densities...
Modern ground-based gravitational wave (GW) detectors require a complex interferometer configuration with multiple coupled optical cavities.Since achieving the resonances of arm cavities is most challenging among lock acquisition processes, scheme called length stabilization (ALS) had been employed for cavities.We designed new type ALS, which compatible interferometers having long arms like next generation GW detectors.The features ALS are that control simpler than those previous ones and it...
The objective of this study is to use artificial neural networks for volatility forecasting enhance the ability an asset allocation strategy based on target volatility. level achieved by dynamically allocating between a risky and risk-free cash position. However, challenge data-driven approaches limited availability data since periods high volatility, such as during financial crises, are relatively rare. To resolve issue, we apply stability-oriented approach compare current period past set...
We apply a machine learning algorithm, the artificial neural network, to search for gravitational-wave signals associated with short gamma-ray bursts (GRBs). The multi-dimensional samples consisting of data corresponding statistical and physical quantities from coherent pipeline are fed into network distinguish simulated background noise artifacts. Our result shows that classification efficiency at fixed false alarm probability (FAP) is improved by in comparison conventional detection...
Context. X-ray bursts (XRBs) are energetic explosive events that have been observed in low-mass binaries (LMXBs). Some Type-I XRBs exhibit photospheric radius expansion (PRE) and these PRE used to simultaneously estimate the mass of a neutron star LMXB. Aims. The estimation depends on several model parameters, most which still uncertain. Here, we focus effects chemical composition photosphere, determines opacity during phase, touchdown radius, can be larger than radius. We investigate how...
Instance selection is a way to remove unnecessary data that can adversely affect the prediction model, thereby selecting representative and relevant from original set expected improve predictive performance. plays an important role in improving scalability of mining algorithms has also proven be successful over wide range classification problems. However, instance using evolutionary approach, as proposed this study, different previous methods have focused on accuracy performance stock market...
In this study, the effects of frequencydependent characteristics through-silicon vias (TSVs) on performance 3D ICs are examined by evaluating a typical interconnection structure, which is composed 32-nm CMOS inverter drivers and receivers connected through TSVs. The frequency-domain model TSVs extracted in S-parameter from electromagnetic (EM) method, where dimensional variation effect can be accurately considered for comprehensive parameter sweep simulation. A parametric analysis shows that...
In this study, structural variations and overlay errors caused by multiple patterning lithography techniques to print narrow parallel metal interconnects are investigated. Resistance capacitance parasitic of the six lines printed double (DPL) triple (TPL) extracted from a field solver. Wide parameter both in DPL TPL processes analyzed determine impact on signal propagation. Simulations 10% show delay up 20% 30% TPL, respectively. Monte Carlo statistical analysis shows that process results...
The complete mitochondrial genome of the freshwater bryozoan Pectinatella magnifica was sequenced. circular is 17,539 bp and consists 13 protein-coding, two ribosomal RNA, 22 transfer RNA genes (GenBank accession no. MG546680). Bayesian comparative analysis molecular evolution rates revealed no acceleration DNA (mtDNA) P. magnifica. Results maximum likelihood showed that this species clustered with other phylum Bryozoa.
A new transport code ``DaeJeon Boltzmann-Uehling-Uhlenbeck'' (DJBUU) has been developed and enables us to describe the dynamics of heavy-ion collisions in low-energy region. To confirm validity code, we first calculate $\text{Au}+\text{Au}$ at ${E}_{\mathrm{beam}}=100A$ $400A\phantom{\rule{4pt}{0ex}}\mathrm{MeV}$ also perform box calculation check detail Pauli blocking without using a mean-field potential as suggested by Transport Code Comparison Project. After confirming study an extended...