List of Publications

Journal Publications


[J3] Seo. H., Choi, K. & Park J. (2021). Outdoor environmental sensitivity test for the detection of biological aerosols. Instrumentation Science & Technology.

[J2] Park, J., Jeong, Y. S., Nam, H., & Choi, K. (2020). Signal Encoder of Real-Time Bio-Aerosol Counter Using 280 nm UV-LED Induced Fluorescence. IEEE Sensors Journal, 20(22), 13471-13479.

[J1] Jeong, Y. S., Lee, J. M., Park, J., Chong, E., & Choi, K. (2020). Development of a real-time handheld bioaerosol monitoring system using ultraviolet-light emitting diode induced fluorescence. Instrumentation Science & Technology, 48(4), 417-430.

Conference Proceedings


[C2] Park, J., Lee, J., Kim, G., & Bae, H. M. Bin-Specific Quantization in Spectral-Domain Convolutional Neural Network Accelerators. In 2022 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Incheon, South Korea.

[C1] Lee, J., Kim, G., Park, J., & Bae, H. M. Link Bit-Error-Rate Requirement Analysis for Deep Neural Network Accelerators. In 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, South Korea.

Patents (Registered)


[P5] Park, J., Choi, K., Nam, H., Choi, S., A method for detecting biological particles, KR102225665B1 (Mar. 2021)

  • Technology transferred for defense production and deployment

[P4] Choi, K., Ha, Y., Choi, S., Park, M., Jeong, Y. S., Park, J., Park, B. H., A small fluorescence sensor device for detecting fine particles, KR102214552B1 (Feb. 2021)

[P3] Nam, H., Park, M., Do, S., Lee, M., Park, J., Method for detecting chemical contamination clouds and unmanned aerial vehicle performing method, US11059584B1 (Jul. 2021) | KR102185273B1 (Dec. 2020)

[P2] Do, S., Chong, E., Lee, M., Seo, J., Park, J., Apparatus and method for estimating location of pollutant source, US20200309756A1 (Oct. 2020) | KR102182500B1 (Nov. 2020)

[P1] Chong, E., Nam, H., Koh Y., Park, J., Park, B. H., Apparatus and method for determining effective signals in digital pulses, GB2575129A (Oct. 2020) | KR101933616B1 (Dec. 2018)

Thesis

[T1] Energy-efficient time-series regression with spiking neural network.

  • M.S. Thesis in Electrical Engineering from Korea Advanced Institute of Science and Technology (KAIST), 2022.

  • Advisor: Prof. Hyeon-Min Bae