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| 1 | Technology Op- portunity Identification Customized to the Technological Capabil- ity of SMEs through Two-stage Patent Analysis显示文摘 | Yongho Lee So Young Kim Inseok Song etc | 2013 | Scientomet- tics2013，100，1： | 1 |
| 2 | Three-dimensionalization via control of laser-structuring parameters for high energy and high power lithium-ion battery under various operating con ditions显示文摘Laser-structuring is an effective method to promote ion diffusion and improve the performance of lithium-ion battery(LIB)electrodes.In this work,the effects of laser structuring parameters(groove pitch and depth)on the fundamental characteristics of LIB electrode,such as interfacial area,internal resistances,material loss and electrochemical performance,are investigated,LiNi_(0.5)Co_(0.2)Mn_(0.3)O_(2) cathodes were structured by a femtosecond laser by varying groove depth and pitch,which resulted in a material loss of 5%-14%and an increase of 140%-260%in the in terfacial area between electrode surface and electrolyte.It is shown that the importance of groove depth and pitch on the electrochemical performance(specific capacity and areal discharge capacity)of laser-structured electrode varies with current rates.Groove pitch is more im porta nt at low current rate but groove depth is at high curre nt rate.From the mapping of lithium concentration within the electrodes of varying groove depth and pitch by laser-induced breakdown spectroscopy,it is verified that the groove functions as a diffusion path for lithium ions.The ionic,electronic,and charge transfer resistances measured with symmetric and half cells showed that these internal resistances are differently affected by laser structuring parameters and the changes in porosity,ionic diffusion and electronic pathways.It is demonstrated that the laser structuring parameters for maximum electrode performance and minimum capacity loss should be determined in consideration of the main operating conditions of LIBs. | Junsu Park Hyeongi Song Inseok Jang Jaepil Lee Jeongwook Um Seong-guk Bae Jihun Kim Sungho Jeong Hyeong-Jin Kim | 2022 | Journal of Energy Chemistry2022，31，1： | 1 |
| 3 | Technology Op- portunity Identification Customized to the Technological Capabil- ity of SMEs through Two-stage Patent Analysis显示文摘 | Yongho Lee So Young Kim Inseok Song etc | 2013 | Scientomet- rics2013，100，1： | 1 |
| 4 | Surfactants-assisted preparation of Ti O2-Mn oxide composites and their catalytic activities for degradation of organic pollutant显示文摘 | Jun Hwan Park Inseok Jang Kyungho Song | 2013 | Journal of Physics and Chemistry of Solids2013，74，7： | 1 |
| 5 | Real-Time Prediction Algorithm for Intelligent Edge Networks with Federated Learning-Based Modeling显示文摘Intelligent healthcare networks represent a significant component in digital applications,where the requirements hold within quality-of-service(QoS)reliability and safeguarding privacy.This paper addresses these requirements through the integration of enabler paradigms,including federated learning(FL),cloud/edge computing,softwaredefined/virtualized networking infrastructure,and converged prediction algorithms.The study focuses on achieving reliability and efficiency in real-time prediction models,which depend on the interaction flows and network topology.In response to these challenges,we introduce a modified version of federated logistic regression(FLR)that takes into account convergence latencies and the accuracy of the final FL model within healthcare networks.To establish the FLR framework for mission-critical healthcare applications,we provide a comprehensive workflow in this paper,introducing framework setup,iterative round communications,and model evaluation/deployment.Our optimization process delves into the formulation of loss functions and gradients within the domain of federated optimization,which concludes with the generation of service experience batches for model deployment.To assess the practicality of our approach,we conducted experiments using a hypertension prediction model with data sourced from the 2019 annual dataset(Version 2.0.1)of the Korea Medical Panel Survey.Performance metrics,including end-to-end execution delays,model drop/delivery ratios,and final model accuracies,are captured and compared between the proposed FLR framework and other baseline schemes.Our study offers an FLR framework setup for the enhancement of real-time prediction modeling within intelligent healthcare networks,addressing the critical demands of QoS reliability and privacy preservation. | Seungwoo Kang Seyha Ros Inseok Song Prohim Tam Sa Math Seokhoon Kim | 2023 | Computers, Materials & Continua2023，77，11： | 0 |
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