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김일수(IllSoo Kim),배종식(JongSik Bae),최찬묵(ChanMook Choi),이종헌(JongHeon Lee),김석진(SeokJin Kim),김창주(ChangJu Kim) 한국자동차공학회 2014 한국자동차공학회 학술대회 및 전시회 Vol.2014 No.11
Study on the optimization of the inside rear view mirror with a built-in digital clock. Driver for ease of use makes the clock mounted on the mirror. Through the analysis of the patent, the patent has been optimized by avoiding the mirror was developed with a built-in clock. Day & Night type of low-cost model was developed using a mirror.
One-shot cooperative beamforming for downlink multicell systems
Kim, Doohee,Sohn, Illsoo,Lee, Kwang Bok Springer (Biomed Central Ltd.) 2016 Eurasip Journal on Wireless Communications and Net Vol.2016 No.-
<P>We propose a one-shot (non-iterative) cooperative beamforming scheme for downlink multicell systems. Unlike previous non-iterative beamforming schemes, the proposed cooperative beamforming strives to balance maximizing the desired signal power while minimizing the generated interference power to neighbors by maximizing the network-wide average sum rate. Based on the average sum rate analysis, we derive what we term a 'global selfishness' that steers the egoistic-altruistic balance of the network to maximize average sum rate. The global selfishness enables an autonomous decision on the cooperative beamforming vector in each cell. The main advantage of our approach is that cooperative beamforming solutions are analytically derived not only for an ideal two-cell network scenario but also for a practical three-sectored cellular network scenario. The simulation results verify that the proposed one-shot cooperative beamforming outperforms other conventional non-iterative schemes especially in interference-limited regions, which implies that it is very effective for performance improvement of edge users.</P>
Channel Feedback Optimization for Network MIMO Systems
Donghyun Kim,Oh-Soon Shin,Illsoo Sohn,Kwang Bok Lee IEEE 2012 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY Vol.61 No.7
<P>We investigate channel feedback optimization for network multiple-input-multiple-output (MIMO) systems. We consider feedback channel selection to exploit channel asymmetry inherent to network MIMO systems and consider feedback bit allocation, which allows an unequal number of feedback bits to be allocated to users according to the selected channel condition. We derive the upper bound of the expected rate loss due to channel selection and quantization and propose two algorithms referred to as successive algorithm and iterative algorithm, which jointly optimize the channel selection and bit allocation. Through computer simulations, we show that the proposed algorithms provide a significant amount of performance gain with greatly reduced complexity, compared with an exhaustive search.</P>
Multimodal Drowsiness Detection Methods using Machine Learning Algorithms
Youngchul Kim,Minsoo Yeo,Illsoo Sohn,Cheolsoo Park 대한전자공학회 2018 IEIE Transactions on Smart Processing & Computing Vol.7 No.5
Drowsiness is a main threat to drivers, and induces inefficiency in various fields, such as industry and education. In this paper, monitoring drowsiness is investigated in which five healthy volunteers participated in an experiment to elicit drowsiness. The subjects were asked to limit their sleep duration to only two to three hours and restrict caffeine intake during the 24 hours prior to the experiment. In the experiment, a one-channel electrocardiogram (ECG) and a single-channel electroencephalogram (EEG) were simultaneously recorded. The ECG and EEG features were extracted and fed into machine learning, random forest, multilayer perceptron, and support vector machine algorithms. Various feature combinations were utilized to train the algorithms, and random forest yielded the best performance at about 90% accuracy, precision, and recall, with 10-second epochs in the ECG and EEG.
김우현 ( Woo Hyun Kim ),최승규 ( Seung-kyu Choi ),손일수 ( Illsoo Sohn ) 한국정보처리학회 2023 한국정보처리학회 학술대회논문집 Vol.30 No.2
사물인터넷은 무선 통신 기술의 발달로 스마트 시티, 스마트 홈, 스마트 농장, 스마트 건물, 스마트 공장과 같은 다양한 분야에서 주목을 받고 있다. 특히 무선 통신 기술 중 하나인 블루투스 메쉬는 비동기 동적 스캐닝을 이용하여 저전력 통신을 제공하기 때문에 사물인터넷 분야에서 주목을 받고 있다. 본 논문은 네트워크의 신뢰성을 유지하면서 적은 계산 복잡도로 에너지 효율을 높이는 방법을 제안한다. 이를 통해 대부분의 저전력 무선네트워크 환경에서 효과적인 에너지 최적화를 실현한다.