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Your search keyword '"Chung, Ki-Seok"' showing total 145 results
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145 results on '"Chung, Ki-Seok"'

1. A Confidence-Calibrated MOBA Game Winner Predictor

Author

Kim, Dong-Hee, Lee, Changwoo, and Chung, Ki-Seok

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

In this paper, we propose a confidence-calibration method for predicting the winner of a famous multiplayer online battle arena (MOBA) game, League of Legends. In MOBA games, the dataset may contain a large amount of input-dependent noise; not all of such noise is observable. Hence, it is desirable to attempt a confidence-calibrated prediction. Unfortunately, most existing confidence calibration methods are pertaining to image and document classification tasks where consideration on uncertainty is not crucial. In this paper, we propose a novel calibration method that takes data uncertainty into consideration. The proposed method achieves an outstanding expected calibration error (ECE) (0.57%) mainly owing to data uncertainty consideration, compared to a conventional temperature scaling method of which ECE value is 1.11%., Comment: Submitted to IEEE Conference on Games(CoG) 2020

Published
2020

18. Selection-based Low-cost Check Node Operation for Extended Min-Sum Algorithm

Author

Kyeong-Bin Park and Chung Ki-Seok

Subjects
Low complexity, Computer Networks and Communications, Computer science, Truncation, Binary number, Node (circuits), Data_CODINGANDINFORMATIONTHEORY, Low-density parity-check code, Algorithm, Selection algorithm, Decoding methods, Selection (genetic algorithm), Information Systems
Abstract

Although non-binary low-density parity-check (NB-LDPC) codes have better error-correction capability than that of binary LDPC codes, their decoding complexity is significantly higher. Therefore, it is crucial to reduce the decoding complexity of NB-LDPC while maintaining their error-correction capability to adopt them for various applications. The extended min-sum (EMS) algorithm is widely used for decoding NB-LDPC codes, and it reduces the complexity of check node (CN) operations via message truncation. Herein, we propose a low-cost CN processing method to reduce the complexity of CN operations, which take most of the decoding time. Unlike existing studies on low complexity CN operations, the proposed method employs quick selection algorithm, thereby reducing the hardware complexity and CN operation time. The experimental results show that the proposed selection-based CN operation is more than three times faster and achieves better error-correction performance than the conventional EMS algorithm.

Published
2021

40. Multi-way interactive capacitive touch system with palm rejection of active stylus for 86” touch screen panels

Author

An, Jae-Sung, primary, Han, Sang-Hyun, additional, Park, Kyeong-Bin, additional, Kim, Ju Eon, additional, Ye, Jae-Hun, additional, Lee, Seung-Hwan, additional, Jeong, Ji-Yong, additional, Kim, Jung Soo, additional, Baek, Kwang-Hyun, additional, Chung, Ki-Seok, additional, Hong, Seong-Kwan, additional, and Kwon, Oh-Kyong, additional

Published
2018
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47. An ASIP approach for interpolation performance enhancement in HEVC decoder

Author

Lee Minkyu, Song Yong Ho, and Chung Ki-Seok

Subjects
business.industry, Computer science, Application-specific instruction-set processor, Hardware_PERFORMANCEANDRELIABILITY, Parallel computing, Instruction set, Software, Logic gate, Hardware_CONTROLSTRUCTURESANDMICROPROGRAMMING, business, Performance enhancement, Decoding methods, Data compression, Coding (social sciences)
Abstract

In this paper, an application-specific instruction-set processor (ASIP) implementation for interpolation operation for high efficiency video coding (HEVC) decoders is proposed. HEVC is a new video compression standard that has higher compression efficiency than the previous ones. The proposed ASIP is implemented on the XRC_D2MR processor by augmenting the instruction set architecture in Xtensa Tensilica processor using Tensilica instruction extension (TIE).

Published
2014

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