Seung-Jun Shin

发表

Super-resolution atomic force photoactivated microscopy of biological samples (Conference Presentation)

Chulhong Kim, Seung-Hyun Lee, Hyemin Kim, 2017, BiOS.

Multistage fusion and dissimilarity regularization for deep learning

Woo-Jin Song, Young-Rae Cho, Seung-Jun Shin, 2017, 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Data analytics using simulation for smart manufacturing

Sanjay Jain, Guodong Shao, Seung-Jun Shin, 2014, Proceedings of the Winter Simulation Conference 2014.

Development of the Enhanced Cross-Docking Model through Compromise between Line-haul and Shuttle Service

Kyung-Sik Kang, Ki-Hong Kim, Seung-Jun Shin, 2008 .

An Approach to Generating Reference Information for Technology Evaluation

Seung-Jun Shin, Wonchul Seo, Eungchan Kim, 2018, Sustainability.

Diffusion LMS algorithms with multi combination for distributed estimation: Formulation and performance analysis

Jae-Woo Lee, Woo-Jin Song, Seong-Eun Kim, 2017, Digit. Signal Process..

u-Sustainability: A New Paradigm to Measure Sustainability Performance of Manufacturing Processes

Soocheol Yoon, Ali Masoudi, Jae-Min Cha, 2012 .

A method of TRIZ and portfolio-based core technology identification for open R&D innovation in small and medium-sized enterprises

홍일성, Seung-Jun Shin, Min-Kyu Lee, 2018 .

Seung-Jun Shin, Prita Meilanitasari, Min-Kyu Lee, 2020 .

Virtual Factory Based Data Analytics | NIST

Guodong Shao, Seung-Jun Shin, Sanjay Jain, 2016 .

Rendering of HDR images to improve brightness discrimination

Kyung Joon Kwon, Seong Gyun Kim, Woo-Jin Song, 2016 .

Decision guidance methodology for sustainable manufacturing using process analytics formalism

Duck Bong Kim, Alexander Brodsky, Guodong Shao, 2017, J. Intell. Manuf..

Considerations and recommendations for data availability for data analytics for manufacturing

Don Libes, Seung-Jun Shin, Jungyub Woo, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Single-Electron-Based Flexible Multivalued Exclusive-or Logic Gate

Nam-Soo Kim, Seung-Jun Shin, Keun-Hyung Park, 2009, IEEE Transactions on Electron Devices.

A decision-guidance framework for sustainability performance analysis of manufacturing processes

Duck Bong Kim, Alexander Brodsky, Guodong Shao, 2014 .

A Virtual Milling Machine Model to Generate Machine-Monitoring Data for Predictive Analytics

Sebti Foufou, David Lechevalier, Rachuri Sudarsan, 2015, PLM.

Towards a virtual factory prototype

Sanjay Jain, David Lechevalier, Seung-Jun Shin, 2015, 2015 Winter Simulation Conference (WSC).

Toward development of a testbed for sustainable manufacturing

Y. Tina Lee, Seung-Jun Shin, Ju Yeon Lee, 2015, Concurr. Eng. Res. Appl..

A Novel High Gray Scale Data Driver for Passive Matrix OLED Displays

Kae-Dal Kwack, Hong-Jae Shin, Seung-Jun Shin, 2005, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05).

A new robust variable weighting coefficients diffusion LMS algorithm

Jae-Woo Lee, Woo-Jin Song, Do-Chang Ahn, 2017, Signal Process..

A backlight dimming algorithm based on visual perception for liquid crystal displays

Woo-Jin Song, Seung-Jun Shin, Jong-Ju Hong, 2015, 2015 IEEE International Conference on Consumer Electronics (ICCE).

Towards a Virtual Factory Prototype | NIST

Sanjay Jain, David Lechevalier, Seung-Jun Shin, 2015, WSC 2015.

Product Roadmap Templates for the Next R&D Generation on Small and Medium-sized Enterprises

Min-Kyu Lee, Seung-Jun Shin, Il-Seong Hong, 2019 .

Developing a decision support system for improving sustainability performance of manufacturing processes

Duck Bong Kim, David Lechevalier, Alexander Brodsky, 2015, Journal of Intelligent Manufacturing.

An energy-efficient process planning system using machine-monitoring data: A data analytics approach

Rachuri Sudarsan, Seung-Jun Shin, Wonchul Seo, 2019, Comput. Aided Des..

Survey of the correlation between work injuries and job satisfaction in Logistics Center and ways to improve work satisfaction

Kyung-Sik Kang, Ki-Hong Kim, Seung-Jun Shin, 2011 .

Predictive Analytics Model for Power Consumption in Manufacturing

Sudarsan Rachuri, Seung-Jun Shin, Jungyub Woo, 2014 .

CNN-based LDR-to-HDR conversion system

Woo-Jin Song, Seung-Jun Shin, Kyeongbo Kong, 2018, 2018 IEEE International Conference on Consumer Electronics (ICCE).

Corrigendum to "Diffusion LMS algorithms with multi combination for distributed estimation: Formulation and performance analysis" [Digit. Signal Process. 71 (2017) 117-130]

Jae-Woo Lee, Woo-Jin Song, Seong-Eun Kim, 2018, Digit. Signal Process..

A green productivity based process planning system for a machining process

Suk-Hwan Suh, Seung-Jun Shin, Ian Stroud, 2015 .

A Study on the Low Power Communication for Underwater Sensor Network

Tae-Jin Lee, Kwon Son, Ki-Man Kim, 2011, 2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing.

A "smart component" data model in PLM

Utpal Roy, Y. Tina Lee, Yunpeng Li, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Virtual factory based data analytics

Sanjay Jain, Guodong Shao, Seung-Jun Shin, 2016, 2016 12th IEEE International Conference on Control and Automation (ICCA).

Predictive Modeling for Machining Power Based on Multi-source Transfer Learning in Metal Cutting

Seung-Jun Shin, Young-Min Kim, Hae-Won Cho, 2021, International Journal of Precision Engineering and Manufacturing-Green Technology.

A Decision Guidance Framework for Sustainability Performance Analysis of Manufacturing Processes

Alexander Brodsky, Guodong Shao, Seung-Jun Shin, 2014 .

Standard Data-Based Predictive Modeling for Power Consumption in Turning Machining

Sudarsan Rachuri, Seung-Jun Shin, Prita Meilanitasari, 2018 .