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Learning Delaunay Triangulation using Self-attention and Domain Knowledge
[article]
2021
arXiv
pre-print
Preserved Fulltext
CRediT authorship contribution statement Jaeseung Lee: Software, Methodology, Investigation, Woojin Choi: Software, Investigation, Jibum Kim: Writing -Methodology, Supervison, Review & Editing
Declaration ...
arXiv:2107.01759v1
fatcat:5sxfwmyr75a2fipw4tqtxw5l5u
Strong solutions to the inhomogeneous Navier-Stokes-BGK system
[article]
2019
arXiv
pre-print
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In this paper, we are concerned with the local-in-time well-posedness of a fluid-kinetic model in which the BGK model with density dependent collision frequency is coupled with the inhomogeneous Navier-Stokes equation through drag forces. To the best knowledge of authors, this is the first result on the existence of local-in-time smooth solution for particle-fluid model with nonlinear inter-particle operator for which the existence of time can be prolonged as the size of initial data gets smaller.
arXiv:1909.10680v1
fatcat:xfoy7k6fhzfh5awhc6gnn5ajfy
Pose-MUM : Reinforcing Key Points Relationship for Semi-Supervised Human Pose Estimation
[article]
2022
arXiv
pre-print
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A well-designed strong-weak augmentation strategy and the stable teacher to generate reliable pseudo labels are essential in the teacher-student framework of semi-supervised learning (SSL). Considering these in mind, to suit the semi-supervised human pose estimation (SSHPE) task, we propose a novel approach referred to as Pose-MUM that modifies Mix/UnMix (MUM) augmentation. Like MUM in the dense prediction task, the proposed Pose-MUM makes strong-weak augmentation for pose estimation and leads
arXiv:2203.07837v1
fatcat:fzbgpyqkujgopernag573ku27u
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... he network to learn the relationship between each human key point much better than the conventional methods by adding the mixing process in intermediate layers in a stochastic manner. In addition, we employ the exponential-moving-average-normalization (EMAN) teacher, which is stable and well-suited to the SSL framework and furthermore boosts the performance. Extensive experiments on MS-COCO dataset show the superiority of our proposed method by consistently improving the performance over the previous methods following SSHPE benchmark.
Determination and Quantification of Heavy Metals in Sediments through Laser-Induced Breakdown Spectroscopy and Partial Least Squares Regression
2021
Applied Sciences
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Conventional analysis techniques and sample preprocessing methods for identifying trace metals in soil and sediment samples are costly and time-consuming. This study investigated the determination and quantification of heavy metals in sediments by using a Laser-Induced Breakdown Spectroscopy (LIBS) system and multivariate chemometric analysis. Principle Component Analysis (PCA) was conducted on the LIBS spectra at the emission lines of 11 selected elements (Al, Ca, Cd, Cr, Fe, K, Mg, Na, Ni,
doi:10.3390/app11157154
fatcat:ndm226xbefck7boyxkcqz75nli
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... and Si). The results showed apparent clustering of four types of sediment samples, suggesting the possibility of application of the LIBS technique for distinguishing different types of sediments. Mainly, the Cd, Cr, and Pb concentrations in the sediments were analyzed. A data-smoothing method—namely, the Savitzky–Golay (SG) derivative—was used to enhance the performance of the Partial Least Squares Regression (PLSR) model. The performance of the PLSR model was evaluated in terms of the coefficient of determination (R2), Root Mean Square Error of Calibration (RMSEC), and Root Mean Square Error of Cross Validation (RMSECV). The results obtained using the PLSR with the SG derivative were improved in terms of the R2 and RMSECV, except for Cr. In particular, the results for Cd obtained with the SG derivative showed a decrease of 25% in the RMSECV value. This demonstrated that the PLSR model with the SG derivative is suitable for the quantitative analysis of metal components in sediment samples and can play a significant role in controlling and managing the water quality of rivers.
Detection of Microplastic in Salts Using Terahertz Time-Domain Spectroscopy
2021
Sensors
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We report on a prototypical study of the detection of microplastic embedded in table salts by using terahertz time-domain spectroscopy. In the experiment, high-density polyethylene (HDPE) of sizes from 150 to 400 μm are used as a representative microplastic and mixed with table salts. Analyzing terahertz transmittance with an effective medium model, we extract various optical properties such as refractive index, absorption coefficient, and real/imaginary parts of the dielectric constant of the
doi:10.3390/s21093161
pmid:34063265
pmcid:PMC8125003
fatcat:64kz7jfxgrhy3b63o2km2ri4yi
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... ixture. Consequently, the optical properties exhibit volume-ratio-dependence in 0.1-0.5 THz regimes. Especially, the refractive index and the real part of the dielectric constant possess monotonic frequency dependence, meaning that the quantities can be relevant indicators for the detection of the microplastic in terms of practical applications. Our work proves that terahertz time-domain spectroscopy can pave a way to recognize microplastic mixed with salts and be expanded for detecting various micro-sized particles.
Character drawing style in cartoons on empathy induction: an eye-tracking and EEG study
2017
PeerJ
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. • Yeojeong Choi conceived and designed the experiments, performed the experiments, analyzed the data, wrote the paper, reviewed drafts of the paper. • Jaeseung Jeong conceived and designed the experiments ...
Competing Interests Yeojeong Choi is a graduate of Korea Advanced Institute of Science and Technology and an employee of LG electronics. The authors declare there are no competing interests. ...
doi:10.7717/peerj.3988
pmid:29152415
pmcid:PMC5687150
fatcat:yb3jftpjybdkhglemsdyc5tl64
Regulation of vascular endothelial growth factor signaling by miR-200b
2011
Molecules and Cells
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Postoperative Recurrence of Hepatocellular Carcinoma: The Importance of Distinguishing between Intrahepatic Metastasis and Multicentric Occurrence—Response
2019
Clinical Cancer Research
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Pyridinic-N-Doped Graphene Paper from Perforated Graphene Oxide for Efficient Oxygen Reduction
2018
ACS Omega
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We report a simple approach to fabricate a pyridinic-N-doped graphene film (N-pGF) without high-temperature heat treatment from perforated graphene oxide (pGO). pGO is produced by a short etching treatment with hydrogen peroxide. GO perforation predominated in a short etching time (∼1 h), inducing larger holes and defects compared to pristine GO. The pGO is advantageous to the formation of a pyridinic N-doped graphene because of strong NH3 adsorption on vacancies with oxygen functional groups
doi:10.1021/acsomega.8b00400
pmid:31458755
pmcid:PMC6641923
fatcat:l6jnj7nexvcyzcrszgmjxyqnaq
more »
... ring the nitrogen-doping process, and the pyridinic-N-doped graphene exhibits good electrocatalytic activity for oxygen reduction reaction (ORR). Using rotating-disk electrode measurements, we confirm that N-pGF undergoes a four-electron-transfer process during the ORR in alkaline and acidic media by possessing sufficient diffusion pathways and readily available ORR active sites for efficient mass transport. A comparison between Pt/N-pGF and commercial Pt/C shows that Pt/N-pGF has superior performance, based on its more positive onset potential and higher limiting diffusion current at -0.5 V.
Induction of growth arrest by miR-542-3p that targets survivin
2010
FEBS Letters
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Edited by Tamas Dalmay Keywords: MicroRNA miR-542-3p Cell cycle arrest Survivin 18S ribosomal RNA a b s t r a c t Survivin is a protein which functions as a mitotic regulator as well as apoptosis inhibitor. In this study, we show that introduction of synthetic miR-542-3p mimetic reduced both mRNA and protein levels of survivin. In A549 cells, luciferase reporter assay revealed that miR-542-3p targeted predicted binding sites in the 3 0 -untranslated region (3 0 -UTR) of survivin. We also
doi:10.1016/j.febslet.2010.08.025
pmid:20728447
fatcat:ibq32t65xrgi3gs6v5ywlsikbq
more »
... rate that ectopic expression of miR-542-3p inhibited cell proliferation by inducing Gap 1 (G1) and Gap 2/Mitosis (G2/M) cell cycle arrest. Collectively, these results suggest that survivin is a direct target of miR-542-3p and growth inhibition by miR-542-3p may have a potential utility as an anti-cancer therapy.
Estimation of Closest In-Path Vehicle (CIPV) by Low-Channel LiDAR and Camera Sensor Fusion for Autonomous Vehicle
[article]
2021
arXiv
pre-print
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In autonomous driving, using a variety of sensors to recognize preceding vehicles in middle and long distance is helpful for improving driving performance and developing various functions. However, if only LiDAR or camera is used in the recognition stage, it is difficult to obtain necessary data due to the limitations of each sensor. In this paper, we proposed a method of converting the tracking data of vision into bird's eye view (BEV) coordinates using an equation that projects LiDAR points
arXiv:2103.13952v1
fatcat:srvagghrqzbp5ovz5kg5i2hpl4
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... to an image, and a method of fusion between LiDAR and vision tracked data. Thus, the newly proposed method was effective through the results of detecting closest in-path vehicle (CIPV) in various situations. In addition, even when experimenting with the EuroNCAP autonomous emergency braking (AEB) test protocol using the result of fusion, AEB performance is improved through improved cognitive performance than when using only LiDAR. In experimental results, the performance of the proposed method was proved through actual vehicle tests in various scenarios. Consequently, it is convincing that the newly proposed sensor fusion method significantly improves the ACC function in autonomous maneuvering. We expect that this improvement in perception performance will contribute to improving the overall stability of ACC.
Controlled stoichiometric synthesis of DNA–quantum dot conjugates using Ni-mediated coordination chemistry
2010
Chemical Communications
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Quantification of 6His binding on QDs. The polymer-coated QDs (25 pmol) were mixed with various equivalents of 2G6H containing an amidated C-terminal peptide (x100, 200, 500) in 10 mM borate buffer (pH 8.0) containing EDC (25 nmol). After 4 h 15 at 25 ℃, the 2G6H-QD conjugates were washed five times with 10 mM borate buffer and characterized by agarose gel electrophoresis. Gel electrophoresis was run in a 0.5x TBE buffer on a 1.5 % agarose gel at 50 V for 1 h. The 6His on 2G6H-QD was quantified
doi:10.1039/c0cc03462b
pmid:20976317
fatcat:uffmam3phjexrmklr3uvz4vsnq
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... by collecting the unreacted peptide followed by a BCA peptide assay. The absorbance of the solution was measured using a UV-Vis spectrometer and the 20 absorbance at 562 nm of each sample was plotted as a function of the amount of peptide that reacted with the QDs. The BCA assay is a biochemical assay for determining the total level of protein in a solution. The total protein concentration is exhibited by a color change of the sample solution from green to purple in proportion to protein concentration, which can then be 25 measured using colorimetric techniques.
A Study on Analysis for Risk Distance by Electric Leakage During Flood
2017
Korean Society of Hazard Mitigation
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Electric shock due to the electric leakages from the street lamps or traffic lights used to happen until the 1990. After the accident causing 19 casualties during the heavy rains on July 15-16, 2011 in Seoul, Incheon and Gyeonggi-do, the administrator established laws on installing circuit breakers to the street lamps and traffic lights. However, the standing signboard along the sidewalk remains a blind stop. Though some local government have tried to keep the streets safe from the electric
doi:10.9798/kosham.2017.17.2.187
fatcat:a5ogkwyrwrby7asuysq4sdd5de
more »
... ding signboards to prevent the pedestrian from getting shocked, most store-owners hardly observes and keep on using it illegally because of the promotion effects. Thus, the objects of this research were focused on providing the danger range of electric leakage in flooded situation and safety guidelines for the pedestrians.
A Cost-Effective CNN-LSTM-Based Solution for Predicting Faulty Remote Water Meter Reading Devices in AMI Systems
2021
Sensors
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Automatic meter infrastructure (AMI) systems using remote metering are being widely used to utilize water resources efficiently and minimize non-revenue water. We propose a convolutional neural network-long short-term memory network (CNN-LSTM)-based solution that can predict faulty remote water meter reading (RWMR) devices by analyzing approximately 2,850,000 AMI data collected from 2762 customers over 360 days in a small-sized city in South Korea. The AMI data used in this study is a
doi:10.3390/s21186229
pmid:34577436
fatcat:nbymmkktt5hrffaqtlhml6fqi4
more »
... g, highly unbalanced real-world dataset with limited features. First, we perform extensive preprocessing steps and extract meaningful features for handling this challenging dataset with limited features. Next, we select important features that have a higher influence on the classifier using a recursive feature elimination method. Finally, we apply the CNN-LSTM model for predicting faulty RWMR devices. We also propose an efficient training method for ML models to learn the unbalanced real-world AMI dataset. A cost-effective threshold for evaluating the performance of ML models is proposed by considering the mispredictions of ML models as well as the cost. Our experimental results show that an F-measure of 0.82 and MCC of 0.83 are obtained when the CNN-LSTM model is used for prediction.
Development and Evaluation of Automatic Discharges Measurement Technology for Small Stream Monitoring
2018
Korean Society of Hazard Mitigation
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., 2008; Choi et al., 2010) (1) 여기서 와 는 상관영역의 화소크기를 나타내며, 와 는 상관영역과 탐색영역내 비교영역의 잔차값으로 ...
왜곡영상을 정사영상으로 보정하기 위
해서 Fig. 3(b)와 같이 측정구간에 표정점을 설치하고 2차원
투영 좌표변환프로그램으로 촬영영상을 정사영상으로 변환
하여 유속을 계측하였다(Kim et al., 2004; Choi et al., 2010;
3.1 계측 장비 및 방법
자동유량계측기술의 유속 및 유량계측결과의 검증을 위
하여 본
본 연구에서는 ...
doi:10.9798/kosham.2018.18.6.347
fatcat:tpjzxjsiqjaifb4ax7zpxbsvsu
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