Search Results - "Kim, Seongyoon"

Binary genetic algorithm for optimal joinpoint detection: Application to cancer trend analysis by Kim, Seongyoon, Lee, Sanghee, Choi, Jung‐Il, Cho, Hyunsoon

“…The joinpoint regression model (JRM) is used to describe trend changes in many applications and relies on the detection of joinpoints (changepoints). However,…”
Get full text

Tokenization of distributed insurance by auction by Feng, Runhuan, Kim, Seongyoon, Painsky, Amichai

“…It is a trend in the decentralized finance market that a wide range of financial services are provided through tokenization without traditional financial…”
Get full text

Optimized End Functionality of Silane-Terminated Liquid Butadiene Rubber for Silica-Filled Rubber Compounds by Song, Sanghoon, Choi, Haeun, Jeong, Junhwan, Kim, Seongyoon, Kwon, Myeonghee, Kim, Minji, Kim, Donghyuk, Jeon, Heungbae, Paik, Hyun-Jong, Chung, Sungwook, Kim, Wonho

“…As the world is shifting from internal combustion engine vehicles to electric vehicles in response to environmental pollution, the tire industry has been…”
Get full text

Parameter identification and identifiability analysis of lithium‐ion batteries by Choi, Yun Young, Kim, Seongyoon, Kim, Kyunghyun, Kim, Sanghyun, Choi, Jung‐Il

“…Parameter identification (PI) is a cost‐effective approach for estimating the parameters of an electrochemical model for lithium‐ion batteries (LIBs). However,…”
Get full text

Experience of subjective symptoms in euthymic patients with bipolar disorder by Joe, Soohyun, Joo, Yeonho, Kim, Seongyoon

“…Bipolar patients often experience subjective symptoms even if they do not have active psychotic symptoms in their euthymic state. Most studies about subjective…”
Get full text

Bayesian impedance deconvolution using timescale distribution for lithium-ion battery state estimation by Kim, Seongyoon, Choi, Jung-Il

“…The distribution of relaxation times (DRT) and distribution of diffusion times (DDT) are widely recognized as effective model-free methods for deconvolving the…”
Get full text

Allocating labor across small firms: Experimental evidence on information constraints by Hardy, Morgan, Kim, Seongyoon, McCasland, Jamie, Menzel, Andreas, Witte, Marc

“…We document interest in labor reallocation among small firm owners in Ghana; 60% and 41%, respectively, self-report willingness to hire or work for the average…”
Get full text

Impedance-based capacity estimation for lithium-ion batteries using generative adversarial network by Kim, Seongyoon, Choi, Yun Young, Choi, Jung-Il

“…This paper proposes a fully unsupervised methodology for the reliable extraction of latent variables representing the characteristics of lithium-ion batteries…”
Get full text

Multiple parameter identification using genetic algorithm in vanadium redox flow batteries by Choi, Yun Young, Kim, Seongyoon, Kim, Soowhan, Choi, Jung-Il

“…We propose a multiple parameter identification method for vanadium redox flow batteries (VRFBs) to estimate the model parameter in a VRFB model. The proposed…”
Get full text

Recurrent neural network-induced Gaussian process by Sun, Xiang, Kim, Seongyoon, Choi, Jung-Il

“…•Equivalence between the infinitely wide NNs and GPs for an RNN is proved.•A GP with kernel induced from vanilla RNN is proposed (RNNGP).•RNNGP is validated…”
Get full text

Forecasting state-of-health of lithium-ion batteries using variational long short-term memory with transfer learning by Kim, Seongyoon, Choi, Yun Young, Kim, Ki Jae, Choi, Jung-Il

“…Accurate forecasting of state-of-health and remaining useful life of Li-ion batteries ensure their safe and reliable operation. Most previous data-driven…”
Get full text

Deep-learning-based reduced-order modeling to optimize recuperative burner operating conditions by Yang, Mingyu, Kim, Seongyoon, Sun, Xiang, Kim, Sanghyun, Choi, Jiyong, Park, Tae Seon, Choi, Jung-Il

“…This study analyzed a recuperative burner system that is critical for energy efficiency and pollutant reduction in the firing processes required in the…”
Get full text

Dynamic Pore Modulation of Stretchable Electrospun Nanofiber Filter for Adaptive Machine Learned Respiratory Protection by Shin, Jaeho, Jeong, Seongmin, Kim, Jinmo, Choi, Yun Young, Choi, Joonhwa, Lee, Jae Gun, Kim, Seongyoon, Kim, Munju, Rho, Yoonsoo, Hong, Sukjoon, Choi, Jung-Il, Grigoropoulos, Costas P., Ko, Seung Hwan

Get full text

Bayesian parameter identification in electrochemical model for lithium-ion batteries by Kim, Seongyoon, Kim, Sanghyun, Choi, Yun Young, Choi, Jung-Il

“…Electrochemical models can characterize the internal behavior of cells and are powerful and effective tools for the design and management of batteries. This…”
Get full text

Density functional theory study on the reducing agents for atomic layer deposition of tungsten using tungsten chloride precursor by Hidayat, Romel, Chowdhury, Tanzia, Kim, Yewon, Kim, Seongyoon, Mayangsari, Tirta Rona, Kim, Soo-Hyun, Lee, Won-Jun

“…[Display omitted] •We created a W4Cl12 cluster to study ALD of tungsten using chloride precursor.•Atomic hydrogen and B2H6 are expected to be the best reducing…”
Get full text

An SoC integrating an H.264 encoder with an ISP by Eung Sup Kim, Seongyoon Kim, GyoungHwan Hyun, Jinsu Jung, Chae Eun Rhee, Yongseok Jin, Hyuk-Jae Lee

“…The SoC presented in this paper integrates an H.264 encoder with an ISP (image signal processor). It is currently implemented in an FPGA and processes an…”
Get full text

Bilevel-optimized continual learning for predicting capacity degradation of lithium-ion batteries by Lee, Minho, Kim, Seongyoon, Kim, Sanghyun, Choi, Jung-Il

“…This study proposes a novel method to predict the capacity degradation trajectory of lithium-ion batteries in a real-world scenario in which datasets with…”
Get full text

Atomic layer deposition of tungsten and tungsten-based compounds using WCl5 and various reactants selected by density functional theory by Lee, Minyoung, Hidayat, Romel, Nandi, Dip K., Kim, Tae Hyun, Kim, Yewon, Kim, Seongyoon, Lee, Won-Jun, Kim, Soo-Hyun

“…[Display omitted] •DFT calculation for ALD reactions between WCl5 and different reducing agents.•ALD processes using WCl5 and H2 plasma, DEAB, TEA, TBH, and…”
Get full text

Model-free reconstruction of capacity degradation trajectory of lithium-ion batteries using early cycle data by Kim, Seongyoon, Jung, Hangsoon, Lee, Minho, Choi, Yun Young, Choi, Jung-Il

“…Early degradation prediction of lithium-ion batteries is important to guarantee safe operations and avoid unexpected failure in manufacturing and diagnosis…”
Get full text

Deep Learning-Based Dynamic Risk Prediction of Venous Thromboembolism for Patients With Ovarian Cancer in Real-World Settings From Electronic Health Records by Lee, Dahhay, Kim, Seongyoon, Lee, Sanghee, Kim, Hak Jin, Kim, Ji Hyun, Lim, Myong Cheol, Cho, Hyunsoon

“…Patients with epithelial ovarian cancer (EOC) have an elevated risk for venous thromboembolism (VTE). To assess the risk of VTE, models were developed by…”
Get more information