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Taeyang Park,Seong-gyu Jeon,Eunseo Lee,Jiyoon Ahn,Yongjin Joo 대한공간정보학회 2021 한국지형공간정보학회 학술대회 Vol.2021 No.11
There are an increasing number of complaints about the use of charging facilities due to the rapid battery discharge of disabled people using electric wheelchairs when moving outdoors. In this study, we analyze the current state of charging facilities for each autonomous district in Seoul, and design and evaluate the electric wheelchair charging infrastructure usage satisfaction index. The results of this study can be used to understand the current state of operation of electric wheelchair charging stations in Seoul municipalities and to develop charging facilities expansion, use efficiency, accessibility, and improvement plans.
박태양 ( Taeyang Park ),김성재 ( Sungjae Kim ),김성민 ( Sungmin Kim ),장정렬 ( Ryeol Jang ),최강원 ( Kang Won Choi ),김상민 ( Sangmin Kim ) 한국농공학회 2011 한국농공학회 학술대회초록집 Vol.2011 No.-
현대 사회에 들어 인간의 개발로 인해 토양침식의 가중으로 인해 많은 토사유출이 발생하고 있으며 그 규모가 급격히 증가하게 되고 있다. 토양침식으로 인한 토사유출은 하류의 댐, 저수지, 수로 등의 수리구조물에 퇴적되어 내용적과 통수능력을 감소시키게 되며 하천의 유사농도를 높이고 밭이나 논에서 배출된 토사의 경우 비료나 농약성분과 함께 유실되어 호수의 부영영화를 발생시키거나 하천의 수질문제를 일으키게 된다. 이과 같이 토사 유출등의 개발로 인해 발생되는 인명과 재산 피해와 같은 재해를 최소화하기 유출증가와 홍수부담 가중을 유발시키는 원인행위를 사업이 시행되기 이전에 검토하는 재해영향평가제도가 시행되고 있고 그를 위해 침사지나 저류지등의 저감시설의 설치를 의무화 하고 있다. 경사지에서 발생되는 토양침식으로 인해 발생되는 문제는 실측을 통해 하류나 호소의 영향을 구명하는 것이 바람직하나 이는 많은 경비와 시간을 필요로 하게 되고 결과 또한 강우, 토질, 경사도, 재배작물, 경사면의 길이나 방향등 무수히 많은 변수들로 인해 지역에 따라 다른 경향을 나타내게 된다. 따라서 토양침식을 모의할 수 있는 모형을 이용하게 되면 실측을 통한 토사유출의 영향을 분석하는 방법의 단점을 보완할 수 있으며 이를 통한 저감대책을 강구할 수 있고 그 중 유출량 산정하는 기법에는 경험적 산정기법, 물리적 산정기법 그리고 기타기법으로 분류되고 있으며 경험적 산정기법에 근거한 대표적인 모형으로 RUSLE(Revised Universal Soil Equation)모형이 있으며, 물리적 산정기법에는 WEPP(Water Erosion Prediction Project), ANSWERS(Areal Nonpoint Source Wetershed Environment Response Simulation), EPIC(Erosion Productivity Impact Calculator)모형 등이 있다. 그 외 기타기법으로는 원단위법과 비유사량법 등이 사용되고 있다. 본 연구에서 토사유출을 예측하기 위해 현대 수문학, 침식 과학 등을 기반으로 개발된 모형으로 유출량뿐만 아니라 단일경사지나 유역 출구로부터 배출되는 토사유출량을 산정할 수 있는 WEPP모형을 이용하여 시험포장의 유출량과 토사유출량을 모의하여 실측치와의 비교를 통해 WEPP의 적용성을 평가하고 오염저감시설이나 경작상태등에 따른 변화를 비교 분석하였다.
ESG경영 공시전환에 대응하는 중대토픽 공시방법 연구-석유와 가스산업 중심으로
박태양(TaeYang Park) 한국산업경영시스템학회 2022 한국산업경영시스템학회지 Vol.45 No.1
Recently, due to the change to SASB(Sustainability Accounting Standards Board) and GRI(Global Reporting Initiative) Standards 2021, the paradigm for non-financial information disclosure is changing significantly, with the number of ESG topics and indicators that must be disclosed by industry from an autonomous material topic selection method. This study revealed that the number of compulsory topics in the oil and gas industry by GRI standards 2021 is up to 2.4 times higher than the average number of material topics disclosed when domestic companies publish sustainability reports using GRI Standards 2020. In the oil and gas industry, I analyzed the similarities and differences between the GRI standards 2021 and the ESG topics covered by SASB by environmental, social, economic, and governance areas. In addition, the materiality test process, which is different in GRI standards 2021, is introduced, and the issues included in the following 10 representative ESG-related initiatives are summarized into 62 and suggested improvement plans for materiality test used in the topic pool.
수술실 vital sign 데이터를 이용한 머신러닝 기반 마취법 분류 기술 연구
박태양(Taeyang Park),김병욱(Byung Wook Kim) 한국정보과학회 2021 한국정보과학회 학술발표논문집 Vol.2021 No.6
본 논문은 수술실 vital sign 데이터를 이용한 머신러닝 기반 마취법 분류 기술을 제안한다. 원본 데이터에 대한 전처리를 위해 먼저 각 vital sign 별로 데이터를 분리하였고, NaN값과 이상치를 제거하였으며, 입출력 값이 다중 분류 문제에 부합하도록 데이터를 재구성하였다. 그 결과로 선택한 BIS, Hb, Hct, NMT, [SBP, DBP, HR]의 vital sign을 이용해 머신러닝 모델을 학습시켰다. 데이터셋의 샘플 개수를 증가시키기 위해 원본 데이터에 Gaussian noise를 추가하는 Data augmentation 방식을 사용하였다. 성능 평가를 위해 Support Vector Machine, DescisionTreeClassifier 등의 다양한 머신러닝 모델을 이용하였고, 본 논문에서 제안한 모델의 정확도가 기존 연구[2]의 결과보다 더 나은 성능을 나타냄을 확인하였다.
A New Method of Human Brain Activity Representation for Non-Verbal Communication
( Taeyang Yang ),( Jonghyeok Park ),( Jeong Woo Sohn ),( Sung Phil Kim ) 한국감성과학회 2015 추계학술대회 Vol.2015 No.-
Advances in the neurophysiological techniques such as EEG (Encephalogram) or eye-tracker promise a new type of communication methods for those who cannot perform verbal communication. Most conventional techniques target specific objects or tasks and typically require considerable time and workload to adapt itself to the specific tasks or objects. Therefore, it is desirable to develop a new non-verbal communication method for a general and multipurpose use. To this end, we developed a method to represent human brain activity, processing raw EEG signals with the minimal signal processing procedure. Multichannel EEG data were reduced to a 2-D space and the time-course of EEG data was presented as a 2-D trajectory. We analyzed this representation by performing a choice task with neurofeedback in which participants chose one of four visual objects (i.e. numbers). The EEG signals of participants were recorded and represented as 2-D trajectories. Separate responders were asked to predict participants selection in the choice task only by viewing the participants’ trajectory data. As a result, responders could predict participants’ selection better than a chance level (25%). Our approach is different from conventional ones in that it conveys human brain activity more directly to the user and lets the user to recognize brain signal patterns to extract information without intervention of computer algorithms. Our results may suggest a novel method for non-verbal communication.
EEG Characteristics Related to Prediction of What Others Prefer
Jonghyeok Park,Taeyang Yang,Hakjin Kim,Sung-Phil Kim 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
Objective: This study aims to investigate EEG characteristics on a single-trial basis when people successfully or errantly predict the preference of others from the rapid evaluation of face images. Background: Empathic processes are associated with dorsal medial prefrontal cortex and right temporoparietal junction areas. Prediction of others’ preference involves emphatic processes. So functional connectivity between prefrontal and right temporoparietal areas would be associated with the others’ preference prediction ability. Methods: Twenty participants (female, average age: 21.86) participated in our others’ preference prediction task using the rapid evaluation of face images. During this experiment, participants’ electroencephalogram was measured. We analyzed spectral band power as well as phase relations between EEG channels. Results: The success and failure trials of the preference prediction task showed differences in phase resetting latency patterns of alpha oscillations between frontal and right posterior regions. To check whether these phase resetting patterns indicated the likelihood of success or failure trials, we changed participants’ response whenever specific phase resetting patterns occurred. This resulted in1.41%pt increase in accuracy when we used an indicator from four pairs (FP2-T4, T4-P4, P4?FP2 and F4-T5) or 16.52%pt decrease in accuracy when we used it from two pairs (Fz-O2 and C3-T6) . Conclusion: EEG phase resetting latencies between frontal and right parietal areas could indicate the likelihood of success or failure in a given trial of the others’ preference prediction task
Reduction of magnetic resonance image artifacts of NiTi implant by carbon coating
Han, Taeyang,Sohn, Youhan,Park, Sang Jin,Kim, Yu-Chan,Lee, Kang Sik,Kim, Hye Sung,Yoon, Soon-Gil,Kim, Dojin,Han, Jun Hyun Elsevier 2019 Materials science & engineering. C, Materials for Vol.98 No.-
<P><B>Abstract</B></P> <P>A paramagnetic NiTi substrate was coated with diamagnetic carbon materials, i.e., graphene, graphene oxide (GO), and carbon nanotubes (CNTs), in order to reduce magnetic resonance (MR) image artifacts of NiTi implants. The present study focused on the effect of magnetic susceptibility variations in NiTi caused by the carbon coating on MR image artifacts. In the case of the graphene and GO coatings, the reduction of the magnetic susceptibility was greater along the perpendicular direction than the parallel direction. In contrast, the CNT coating exhibited a larger reduction along the parallel direction. The reduction of magnetic susceptibility measured in CNT-coated NiTi (CNT/NiTi) was smaller than the theoretical prediction especially when measured along the parallel direction, because CNTs on the NiTi surface were randomly arranged, rather than in a single direction. MR image artifacts were substantially reduced in all carbon-coated NiTi specimens, which is due to the reduction of magnetic susceptibility in NiTi by the carbon coating. This method can also be applied to other paramagnetic bio-metallic materials such as Co-Cr.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Graphene and GO coating caused a larger susceptibility reduction in the perpendicular direction. </LI> <LI> CNT coating exhibited a larger reduction in susceptibility along the parallel direction. </LI> <LI> Graphene/NiTi, GO/NiTi, and CNT/NiTi resulted in a significant reduction of MR image artifacts. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>